Method, system, and apparatus for managing transducer array placement

Abstract

To provide methods, systems and apparatuses for managing transducer array placement.SOLUTION: A method comprises: generating a three-dimensional (3D) model of a portion of a subject's body; determining, based on the 3D model and a plurality of simulated electrical field distributions, a plurality of transducer array layout maps; determining, from the plurality of transducer array layout maps, one or more sets of transducer array layout maps, where each set of transducer array layout maps represents at least two transducer array layout maps including non-overlapping positions of a plurality of pairs of positions for transducer array placement, where the at least two transducer array layout maps satisfy a criterion; and displaying the one or more sets of transducer array layout maps.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] Cross-reference to related patent applications This application claims priority to U.S. Provisional Application No. 62 / 842,674, filed May 3, 2019, and U.S. Application No. 16 / 866,417, filed May 4, 2020, both of which are incorporated by reference in their entireties. [Background technology]

[0002] Tumor Treating Electric Fields, or TTFields, are low-intensity (e.g., 1-3 V / cm) alternating electric fields in the mid-frequency range (100-300 kHz). This non-invasive treatment targets solid tumors and is described in U.S. Patent No. 7,565,205, which is incorporated herein by reference in its entirety. TTFields disrupt cell division through physical interactions with key molecules during mitosis. TTFields therapy is an approved monotherapy for recurrent glioblastoma and an approved combination therapy with chemotherapy for newly diagnosed patients. These electric fields are induced non-invasively by a transducer array (i.e., an array of electrodes) placed directly on the patient's scalp. TTFields also appears to be beneficial for treating tumors in other parts of the human body.

[0003] The effectiveness of TTFields therapy improves with increasing electric field strength. Changing the placement of the transducer array on a patient's scalp (and / or other parts of the body) affects the strength of the electric field at the target site. Determining how to change the placement of the transducer array while maintaining the desired electric field strength at the target site is a difficult, laborious, and time-consuming process. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] U.S. Patent No. 7,565,205 [Patent Document 2] U.S. Patent Application No. 20190117956 [Non-patent literature]

[0005] [Non-Patent Document 1] “Correlation of Tumor treating Fields Dosimetry to Survival Outcomes in Newly Diagnosed Glioblastoma: A Large-Scale Numerical Simulation-based Analysis of Data from the Phase 3 EF-14 randomized Trial” by Ballo et al. (2019) Summary of the Invention [Means for solving the problem]

[0006] A method is described that includes generating a three-dimensional (3D) model of a body portion of a subject; determining a plurality of transducer array layout maps based on the 3D model and a plurality of simulated electric field distributions; determining one or more sets of transducer array layout maps from the plurality of transducer array layout maps, each set of transducer array layout maps representing at least two transducer array layout maps that include non-overlapping positions in a plurality of pairs of positions for transducer array placement, and where the at least two transducer array layout maps satisfy a criterion; and displaying the one or more sets of transducer array layout maps.

[0007] A method is described that includes generating a three-dimensional (3D) model of a body portion of a subject; determining a plurality of transducer array layout maps based on the 3D model and a plurality of simulated electric field distributions; receiving a selected first transducer array layout map from the plurality of transducer array layout maps, where the first transducer array layout map satisfies a criterion; determining one or more associated transducer array layout maps from the plurality of transducer array layout maps, where each associated transducer array layout map includes locations for transducer array placement that do not overlap with locations for transducer array placement in the first transducer array layout map, where each associated transducer array layout map satisfies a criterion; receiving a second transducer array layout map selected from the one or more associated transducer array layout maps; and displaying the first transducer array layout map and the second transducer array layout map.

[0008] Further described is a method including generating a three-dimensional (3D) model of a body portion of a subject; determining a plurality of transducer array layout maps based on the 3D model and a plurality of simulated electric field distributions; receiving a selected first transducer array layout map and a second transducer array layout map from the plurality of transducer array layout maps; determining an overlap condition based on the first transducer array layout map and the second transducer array layout map; and displaying the overlap condition.

[0009] Additional advantages will be set forth in part in the description which follows, or may be realized by practice. The advantages will be realized and attained by means of the elements and combinations particularly pointed out in the appended claims. It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive.

[0010] To easily identify the description of any particular element or act, one or more leading digits of a reference number refer to the figure number in which that element is first introduced. [Brief explanation of the drawings]

[0011] [Figure 1] FIG. 1 illustrates an exemplary device for electrotherapy. [Figure 2] FIG. 1 illustrates an exemplary transducer array. [Figure 3A] 1A-1C illustrate exemplary applications of the device for electrotherapy. [Figure 3B] 1A-1C illustrate exemplary applications of the device for electrotherapy. [Figure 4A] FIG. 1 illustrates a transducer array positioned on a patient's head. [Figure 4B] FIG. 1 illustrates a transducer array placed on the abdomen of a patient. [Figure 5A] FIG. 1 illustrates a transducer array positioned on a patient's torso. [Figure 5B] FIG. 1 illustrates a transducer array positioned on a patient's pelvis. [Figure 6] FIG. 1 is a block diagram of a system for managing transducer array placement. [Figure 7] FIG. 1 shows the electric field magnitude and distribution (in V / cm) shown in coronal views from a finite element simulation model. [Figure 8A] FIG. 8 shows a three-dimensional array layout map 800. [Figure 8B] FIG. 1 illustrates the placement of a transducer array on a patient's scalp. [Figure 9A] FIG. 1 shows an axial T1 sequence slice including the apical most image, including the trajectory used to measure head size. [Figure 9B] FIG. 1 shows a coronal T1 sequence slice selection image at the level of the ear canal used to measure head size. [Figure 9C] FIG. 1 shows a post-contrast T1 axial image showing the maximum extending tumor diameter used to measure tumor location. [Figure 9D] FIG. 1 shows a post-contrast T1 coronal image showing the maximum extending tumor diameter used to measure tumor location. [Figure 10] FIG. 1 illustrates an exemplary system for managing transducer array placement. [Figure 11A] FIG. 1 illustrates an exemplary user interface for managing transducer array placement. [Figure 11B] FIG. 1 illustrates an exemplary user interface for managing transducer array placement. [Figure 11C] FIG. 1 illustrates an exemplary user interface for managing transducer array placement. [Figure 11D] FIG. 1 illustrates an exemplary user interface for managing transducer array placement. [Figure 12] FIG. 1 illustrates an exemplary method for managing transducer array placement. [Figure 13] FIG. 1 illustrates an exemplary method for managing transducer array placement. [Figure 14] FIG. 1 illustrates an exemplary method for managing transducer array placement. DETAILED DESCRIPTION OF THE INVENTION

[0012] Before the present methods and systems are disclosed and described, it is to be understood that the methods and systems are not limited to particular methods, components, or embodiments. Further, it is to be understood that the terminology used herein is for the purpose of describing particular embodiments only, and is not intended to be limiting.

[0013] As used in this specification and the appended claims, the singular forms "a," "an," and "the" include plural references unless the context clearly dictates otherwise. Ranges may be expressed herein as from "approximately" one particular value and / or to "approximately" another particular value. When such a range is expressed, another embodiment includes from the one particular value and / or to the other particular value. Similarly, when values ​​are expressed as approximations, by use of the antecedent "approximately," it will be understood that the particular value forms another embodiment. It will be further understood that the endpoints of each of the ranges are significant in relation to the other endpoint, as well as independently of the other endpoint.

[0014] "Optional" or "optionally" means that the subsequently described event or occurrence may or may not occur, and that the description includes instances in which the event or occurrence occurs and instances in which the event or occurrence does not occur.

[0015] Throughout the description and claims herein, the word "comprise" and variations of phrases such as "comprising" and "comprises" mean "including but not limited to" and are not intended to exclude, for example, other components, integers, or steps. "Exemplary" means "an example of" and is not intended to convey indication of a preferred or ideal embodiment. "Etc." is not used in a limiting sense but is used for descriptive purposes.

[0016] Components that can be used to implement the disclosed methods and systems are disclosed. While these and other components are disclosed herein, and combinations, subsets, interactions, groups, etc. of these components are disclosed, specific reference to the various individual and collective combinations and variations of each of these components may not be explicitly disclosed, it is understood that for all methods and systems, each combination and variation is specifically contemplated and described. This applies to all aspects of this application, including, but not limited to, steps in the disclosed methods. Thus, if there are various additional steps that can be implemented, it is understood that each of these additional steps can be implemented with any specific embodiment or combination of embodiments of the disclosed methods.

[0017] The present method and system may be more readily understood by reference to the following detailed description of the preferred embodiments and examples included therein and the figures and accompanying description.

[0018] As will be appreciated by those skilled in the art, the methods and systems may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the methods and systems may take the form of a computer program product (e.g., computer software) on a computer-readable storage medium having computer-readable program instructions embodied in the computer-readable storage medium. More specifically, the methods and systems may take the form of web-implemented computer software. Any suitable computer-readable storage medium may be utilized, including a hard disk, a CD-ROM, an optical storage device, or a magnetic storage device.

[0019] Embodiments of the methods and systems are described with reference to block diagrams and flowcharts of methods, systems, apparatuses, and computer program products. It will be understood that each block of the block diagrams and flowchart diagrams, and combinations of blocks in the block diagrams and flowchart diagrams, can be implemented by computer program instructions. These computer program instructions may be loaded onto a general-purpose computer, special-purpose computer, or other programmable data processing apparatus to create a machine, whereby the instructions, executing on the computer or other programmable data processing apparatus, create means for performing the functions specified in one or more blocks of the flowchart.

[0020] These computer program instructions may be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, whereby the instructions stored in the computer-readable memory create an article of manufacture that includes computer-readable instructions for implementing the functions specified in one or more blocks of the flowchart. The computer program instructions may also be loaded onto a computer or other programmable data processing apparatus and caused to execute a series of operational steps on the computer or other programmable apparatus to create a computer-implemented process, whereby the instructions executing on the computer or other programmable apparatus implement the steps for implementing the functions specified in one or more blocks of the flowchart.

[0021] Thus, the blocks in the block diagrams and flowchart diagrams support combinations of means for performing the specified functions, combinations of steps for performing the specified functions, and program instruction means for performing the specified functions. It will also be understood that each block of the block diagrams and flowchart diagrams, and combinations of blocks in the block diagrams and flowchart diagrams, can be implemented by a dedicated hardware-based computer system that performs the specified functions or steps, or a combination of dedicated hardware and computer instructions.

[0022] TTFields, also referred to herein as alternating current electric fields, have been established as an anti-mitotic cancer treatment because they interfere with proper microtubule polymerization during metaphase and ultimately disrupt cells during telophase and cytokinesis. Efficacy improves with increasing field strength, with the optimal frequency dependent on the cancer cell line, with TTFields-induced glioma cell growth inhibition maximal at 200 kHz. For cancer treatment, non-invasive devices containing capacitively coupled transducers have been developed that are placed directly into areas of the skin adjacent to tumors, e.g., in patients with glioblastoma multiforme (GBM), the most common primary malignant brain tumor in humans.

[0023] Because the effect of TTFields is directional, with cells dividing parallel to the field being more strongly affected than cells dividing in other directions, and cells divide in all directions, TTFields are generally delivered by two pairs of transducer arrays that generate mutually perpendicular electric fields within the tumor being treated. More specifically, one pair of transducer arrays may be positioned on the left-right (LR) side of the tumor, and the other pair of transducer arrays may be positioned on the anterior-posterior (AP) side of the tumor. Cycling the electric field between these two directions (i.e., LR and AP) ensures that the greatest range of cell orientations is targeted. Other transducer array positions besides perpendicular electric fields are contemplated. In one embodiment, an asymmetric arrangement of three transducer arrays is contemplated, in which one pair of the three transducer arrays may deliver an AC electric field, then another pair of the three transducer arrays may deliver an AC electric field, and the remaining pair of the three transducer arrays may deliver an AC electric field.

[0024] In vivo and in vitro testing has shown that the efficacy of TTFields therapy improves with increasing electric field strength. Therefore, it is standard practice for the Optune system to optimize array placement on a patient's scalp to increase intensity in affected areas of the brain. Array placement optimization may be performed using "rule of thumb" measurements representing the patient's head shape, tumor dimensions, and / or tumor location (e.g., placing the array as close as possible to the tumor on the scalp). Measurements used as input may be derived from imaging data. Imaging data is intended to include any type of visual data, such as, for example, single-photon emission computed tomography (SPECT) image data, X-ray computed tomography (X-ray CT) data, magnetic resonance imaging (MRI) data, positron emission tomography (PET) data, or data that can be captured by optical equipment (e.g., a photographic camera, a charge-coupled device (CCD) camera, an infrared camera, etc.). In some implementations, the image data may include 3D data (e.g., point cloud data) obtained from or generated by a 3D scanner. Optimization can rely on an understanding of how the electric field is distributed within the head as a function of array position, and in some embodiments can take into account variations in the distribution of electrical properties within different patient heads. Multiple transducer array maps may be determined that show optimized placements of the transducer array on the patient's body that meet various criteria (e.g., yielding minimum and / or maximum electric field strength within a region of interest (ROI), power density within the ROI, etc.).

[0025] Because the placement of the transducer array on the patient's scalp (and / or other parts of the body) affects the strength of the electric field within the ROI and / or target region, a transducer array map may be determined that allows for the placement of the transducer array to be altered while maintaining a target strength of the electric field within the ROI and / or target region.

[0026] FIG. 1 illustrates an exemplary apparatus 100 for electrotherapy. In general, apparatus 100 may be a portable, battery- or mains-powered device that generates alternating electric fields within the body via a non-invasive surface transducer array. Apparatus 100 may include an electric field generator 102 and one or more transducer arrays 104. Apparatus 100 may be configured to generate tumor-treating electric fields (TTFields) (e.g., 150 kHz) via electric field generator 102 and deliver the TTFields to a region of the body through one or more transducer arrays 104. Electric field generator 102 may be a battery- and / or mains-powered device. In one embodiment, one or more transducer arrays 104 have a uniform shape. In one embodiment, one or more transducer arrays 104 do not have a uniform shape.

[0027] The electric field generator 102 may include a processor in communication with the signal generator 108. The electric field generator 102 may include control software 111 configured to control the operation of the processor 106 and the signal generator 108.

[0028] The signal generator 108 may generate one or more electrical signals in the form of a waveform or pulse train. The signal generator 108 may be configured to generate an alternating voltage waveform (e.g., TTFields) at a frequency ranging from about 50 KHz to about 500 KHz (preferably from about 100 KHz to about 300 KHz). The voltage is such that the electric field strength within the tissue to be treated is in the range of about 0.1 V / cm to about 10 V / cm.

[0029] One or more outputs 114 of the electric field generator 102 may be coupled at one end to one or more conductive leads 112 attached to a signal generator 108. Both ends of the conductive leads 112 are connected to one or more transducer arrays 104 that are actuated by an electrical signal (e.g., a waveform). The conductive leads 112 may comprise standard insulated conductors with flexible metal shielding and may be grounded to prevent diffusion of the electric field generated by the conductive leads 112. One or more outputs 114 may be operated sequentially. Output parameters of the signal generator 108 may include, for example, the strength of the electric field, the frequency of the wave (e.g., a treatment frequency), and the maximum allowable temperature of the one or more transducer arrays 104. The output parameters may be set and / or determined by control software 110 in cooperation with the processor 106. After determining the desired (e.g., optimal) treatment frequency, the control software 110 may cause the processor 106 to send a control signal to the signal generator 108, which causes the signal generator 108 to output the desired treatment frequency to one or more transducer arrays 104.

[0030] The one or more transducer arrays 104 may be configured in various shapes and positions to generate electric fields of desired configurations, directions, and strengths at the target volume to focus the treatment. The one or more transducer arrays 104 may be configured to deliver two perpendicular electric field directions through the volume of interest.

[0031] The one or more transducer arrays 104 may include one or more electrodes 116. The one or more electrodes 116 may be made of any material having a high dielectric constant. The one or more electrodes 116 may include, for example, one or more insulating ceramic disks. The electrodes 116 may be biocompatible and coupled to a flexible wiring substrate 118. The electrodes 116 may be configured to not directly contact the skin as the electrodes 116 are separated from the skin by a conductive hydrogel layer (not shown) (similar to the conductive hydrogel layer present on electrocardiogram pads).

[0032] The electrodes 116, hydrogel, and flexible wiring substrate 118 may be attached to a hypoallergenic medical bandage 120 to maintain one or more transducer arrays 104 in continuous diametric contact with the skin at predetermined locations on the body. Each transducer array 104 may include one or more thermistors (not shown), e.g., eight thermistors, to measure the skin temperature beneath the transducer array 104 (with an accuracy of ±1°C). The thermistors may be configured to measure the skin temperature periodically, e.g., every second. The thermistors may be read by the control software 110 while TTFields are not being delivered to avoid any interference with the temperature measurement.

[0033] If the measured temperature is lower than a preset maximum temperature (Tmax), e.g., 38.5-40.0°C ± 0.3°C, between two subsequent measurements, the control software 110 can increase the current until it reaches the maximum therapeutic current (e.g., 4 amps peak-to-peak). If the temperature reaches Tmax + 0.3°C and continues to rise, the control software 110 can decrease the current. If the temperature rises to 41°C, the control software 110 can stop TTFields therapy and trigger an overheating alarm.

[0034] The one or more transducer arrays 104 may be different sizes and may include different numbers of electrodes 116 based on the patient's body size and / or different treatments. For example, for a patient's chest, the small transducer arrays may include 13 electrodes each, and the large transducer arrays may include 20 electrodes each, with the electrodes connected in series with each other in each array. For example, for a patient's head, as shown in FIG. 2, the transducer arrays may include 9 electrodes each, with the electrodes connected in series with each other in each array.

[0035] The status and monitored parameters of device 100 may be stored in memory (not shown) and can be transferred to a computing device via a wired or wireless connection. Device 100 may also include a display (not shown) for displaying visual indicators such as power on, therapy start, alarms, and low battery.

[0036] 3A and 3B illustrate an exemplary application of device 100. Transducer array 104a and transducer array 104b are shown, each incorporated into a hypoallergenic medical bandage 120a and 120b, respectively. Hypoallergenic medical bandages 120a and 120b are attached to a skin surface 302. A tumor 304 is located below skin surface 302 and bone tissue 306 and within brain tissue 308. Electric field generator 102 causes transducer array 104a and transducer array 104b to generate an alternating electric field 310 within brain tissue 308, which disrupts the rapid cell division exhibited by cancer cells in tumor 304. The alternating electric field 310 is shown in non-clinical experiments to inhibit tumor cell growth and / or destroy tumor cells. The use of an AC electric field 310 exploits the special properties, geometry, and division rate of cancer cells, thereby making them susceptible to the AC electric field 310. The AC electric field 310 varies in polarity at intermediate frequencies (approximately 100-300 kHz). The frequency used for a particular treatment may be specific to the cell type being treated (e.g., 150 kHz for MPM). The AC electric field 310 has been shown to disrupt mitotic spindle microtubule polymerization and dielectrophoretic rearrange intracellular macromolecules and organelles during cytokinesis. These processes physically disrupt cell membranes, leading to programmed cell death (apoptosis).

[0037] Because the effect of the AC electric field 310 is directional, with cells dividing parallel to the field being more strongly affected than cells dividing in other directions, and cells divide in all directions, the AC electric field 310 may be delivered through two pairs of transducer arrays 104 that generate mutually perpendicular electric fields within the tumor being treated. More specifically, one pair of transducer arrays 104 may be positioned on the left-right (LR) side of the tumor, and the other pair of transducer arrays 104 may be positioned on the anterior-posterior (AP) side of the tumor. Cycling the AC electric field 310 between these two directions (i.e., LR and AP) ensures that the maximum range of cell orientations is targeted. In one embodiment, the AC electric field 310 may be delivered according to a symmetrical arrangement of the transducer arrays 104 (e.g., four total transducer arrays 104, two matched pairs). In another embodiment, the AC electric field 310 may be delivered according to an asymmetrical arrangement of the transducer arrays 104 (e.g., three total transducer arrays 104). The asymmetric arrangement of the transducer arrays 104 may involve engaging two of the three transducer arrays to deliver the AC electric field 310, then switching to another two of the three transducer arrays 104 to deliver the AC electric field 310, and so on.

[0038] In vivo and in vitro studies have shown that the effectiveness of TTFields therapy improves with increasing electric field strength, and methods, systems, and devices are configured to optimize array placement on a patient's scalp to increase intensity in affected areas of the brain.

[0039] As shown in Figure 4A, the transducer array 104 may be positioned on the patient's head. As shown in Figure 4B, the transducer array 104 may be positioned on the patient's abdomen. As shown in Figure 5A, the transducer array 104 may be positioned on the patient's torso. As shown in Figure 5B, the transducer array 104 may be positioned on the patient's pelvis. Positioning the transducer array 104 on other parts of the patient's body (e.g., arms, legs, etc.) is specifically contemplated.

[0040] 6 is a block diagram illustrating a non-limiting example of a system 600 including a patient support system 602. The patient support system 602 may include one or more computers configured to run and / or store an electric field generator (EFG) configuration application 606, a patient modeling application 608, and / or imaging data 610. The patient support system 602 may include, for example, a computing device. The patient support system 602 may include a laptop computer, a desktop computer, a mobile phone (e.g., a smartphone), a tablet, etc.

[0041] The patient modeling application 608 may be configured to generate a three-dimensional model of a portion of a patient's body (patient model) according to the imaging data 610. The imaging data 610 may include any type of visual data, such as single-photon emission computed tomography (SPECT) image data, X-ray computed tomography (X-ray CT) data, magnetic resonance imaging (MRI) data, positron emission tomography (PET) data, data that can be captured by an optical instrument (e.g., a photographic camera, a charge-coupled device (CCD) camera, an infrared camera, etc.). In some implementations, the image data may include 3D data (e.g., point cloud data) obtained from or generated by a 3D scanner. The patient modeling application 608 may be configured to generate a three-dimensional array layout map based on the patient model and one or more electric field simulations.

[0042] To properly optimize array placement on a portion of a patient's body, imaging data 610, such as MRI imaging data, may be analyzed by a patient modeling application 608 to identify a region of interest comprising a tumor. In the case of a patient's head, a modeling framework based on an anatomical head model may be used that uses finite element model (FEM) simulations to characterize how electric fields behave and distribute within the human head. These simulations generate realistic head models based on magnetic resonance imaging (MRI) measurements and segment tissue types within the head, such as the skull, white matter, gray matter, and cerebrospinal fluid (CSF). Each tissue type may be assigned dielectric properties in terms of specific conductivity and permittivity, and simulations may be performed in which different transducer array configurations are applied to the surface of the model to understand how an externally applied electric field of a predetermined frequency is distributed throughout any portion of the patient's body, such as the brain. The results of these simulations, using a paired array configuration, constant current, and a preset frequency of 200 kHz, demonstrated that the electric field distribution was relatively nonuniform throughout the brain, with field intensities exceeding 1 V / cm occurring in most tissue compartments, except for the CSF. These results were obtained assuming a total current of 1800 milliamperes (mA) peak-to-peak at the transducer array-scalp interface. This threshold of electric field intensity is sufficient to inhibit cell proliferation in glioblastoma cell lines. Furthermore, by manipulating the paired transducer array configuration, it is possible to nearly triple the electric field intensity to specific brain regions, as shown in Figure 7. Figure 7 shows the electric field magnitude and distribution (in V / cm) in a coronal section obtained from a finite element method simulation model. This simulation uses a paired left-right transducer array configuration.

[0043] In one embodiment, the patient modeling application 608 may be configured to determine a desired (e.g., optimal) transducer array layout for a patient based on the location and extent of the tumor. For example, initial morphometric head size measurements may be determined from a T1 sequence of a brain MRI using axial and coronal views. Post-contrast axial and coronal MRI slices may be selected to reveal the maximum diameter of the expanding lesion. Using measurements of head size and distance from predetermined fiducial markers to the tumor margin, various variations and combinations of paired array layouts may be evaluated to generate a configuration that results in the greatest electric field strength at the tumor site. As shown in FIG. 8A, the output may be a three-dimensional array layout map 800. The three-dimensional array layout map 800 (e.g., transducer array layout map) may be used by the patient and / or caregiver in positioning the array on the scalp during the normal course of TTFields therapy, as shown in FIG. 8B.

[0044] In one aspect, the patient modeling application 608 can be configured to determine a three-dimensional array layout map for the patient. MRI measurements of a portion of the patient receiving the transducer array may be determined. By way of example, the MRI measurements may be received via a standard Digital Imaging and Communications in Medicine (DICOM) viewer. The determination of the MRI measurements may be performed automatically, for example, via artificial intelligence techniques, or manually via a physician.

[0045] Determining manual MRI measurements may include receiving and / or providing MRI data via a DICOM viewer. The MRI data may include a scan of a portion of a patient including a tumor. As an example, in the case of a patient's head, the MRI data may include a scan of the head including one or more of a right frontotemporal tumor, a right parietotemporal tumor, a left frontotemporal tumor, a left parieto-occipital tumor, and / or multiple midline tumors. Figures 9A, 9B, 9C, and 9D show exemplary MRI data illustrating a scan of a patient's head. Figure 9A shows an axial T1 sequence slice including an apical image, including a trajectory used to measure head size. Figure 9B shows a coronal T1 sequence slice select image at the level of the ear canal used to measure head size. Figure 9C shows a post-contrast T1 axial image showing the maximum extending tumor diameter used to measure tumor location. Figure 9D shows a post-contrast T1 coronal image showing the maximum extending tumor diameter used to measure tumor location. MRI measurements may begin from fiducial markers at the outer edge of the scalp and extend tangentially from the right, anterior, superior origin. Morphometric head size may be estimated from an axial T1 MRI sequence selecting the most apical image that still includes the orbit (or the image directly above the superior edge of the orbit).

[0046] In one embodiment, the MRI measurements may comprise, for example, one or more of head size measurements and / or tumor measurements. In one embodiment, the one or more MRI measurements may be rounded to the nearest millimeter and provided to a transducer array placement module (e.g., software) for analysis. The MRI measurements may then be used to generate a three-dimensional array layout map (e.g., three-dimensional array layout map 800).

[0047] The MRI measurements may comprise one or more head size measurements, such as maximum anteroposterior (AP) head size starting from the outer edge of the scalp, maximum width of the head perpendicular to the AP measurement, left-right distance, and / or distance from the right edge of the scalp to the anatomical midline.

[0048] The MRI measurements may include one or more head size measurements, such as coronal head size measurements. Coronal head size measurements may be acquired on a T1 MRI sequence that selects an image at the level of the ear canal (FIG. 9B). Coronal head size measurements may include one or more of a vertical measurement from the top of the scalp to an orthogonal line defining the inferior border of the temporal lobe, a maximum left-right head width, and / or a distance from the right edge of the scalp to the anatomical midline.

[0049] The MRI measurements may include one or more tumor measurements, such as tumor location measurements. Tumor location measurements may be performed on axial images, first demonstrating the maximum extended tumor diameter, using a T1 post-contrast MRI sequence ( FIG. 9C ). The tumor location measurements may include one or more of the following: maximum AP head size excluding the nose; maximum left-right diameter measured perpendicular to the AP distance; distance from the right edge of the scalp to the anatomical midline; distance from the right edge of the scalp to the nearest tumor edge measured parallel to the left-right distance and perpendicular to the AP measurement; distance from the right edge of the scalp to the farthest tumor edge measured parallel to the left-right distance and perpendicular to the AP measurement; distance from the front of the head to the nearest tumor edge measured parallel to the AP measurement; and / or distance from the front of the head to the farthest tumor edge measured parallel to the AP measurement.

[0050] The one or more tumor measurements may include a coronal tumor measurement, which may include identifying a post-contrast T1 MRI slice that shows the largest diameter of the tumor extension (FIG. 9D). Coronal tumor measurements may include one or more of the following: the maximum distance from the top of the scalp to the inferior border of the cerebrum, i.e., in anterior slices, the maximum distance defined by a horizontal line drawn at the inferior border of the frontal or temporal lobe, and posteriorly extending to the lowest level of the visible tentorium cerebelli; the maximum left-right head width; the distance from the right edge of the scalp to the anatomical midline; the distance from the right edge of the scalp to the nearest tumor edge measured parallel to the left-right distance; the distance from the right edge of the scalp to the farthest tumor edge measured parallel to the left-right distance; the distance from the top of the head to the nearest tumor edge measured parallel to the superior apex to the inferior cerebrum line; and / or the distance from the top of the head to the farthest tumor edge measured parallel to the superior apex to the inferior cerebrum line.

[0051] Other MRI measurements may be used, especially when the tumor is located in another part of the patient's body.

[0052] The MRI measurements may be used by the patient modeling application 608 to generate a patient model. The patient model may then be used to determine a three-dimensional array layout map (e.g., three-dimensional array layout map 800). Continuing with the example of a tumor in a patient's head, a healthy head model may be generated to serve as a deformable template from which a patient model can be created. When creating the patient model, the tumor may be segmented from the patient's MRI data (e.g., one or more MRI measurements). Once the MRI data is segmented, tissue types at each voxel may be identified, and electrical properties may be assigned to each tissue type based on empirical data. Table 1 shows typical electrical properties of tissues that may be used in the simulation. The region of the tumor in the patient MRI data may be masked, and a non-rigid registration algorithm may be used to register the remaining regions of the patient's head onto a 3D individual image that represents a deformable template of the healthy head model. This process results in a non-rigid transformation to map the healthy portions of the patient's head into template space, and an inverse transformation to map the template into patient space. The inverse transformation is applied to a 3D deformable template to approximate what the patient's head would look like without the tumor. Finally, the tumor (called the region of interest (ROI)) is backfilled into the deformed template to generate a complete patient model. The patient model may be a digital representation in three-dimensional space of the part of the patient's body of interest, including internal structures such as tissues, organs, and tumors.

[0053] [Table 1]

[0054] The patient model may then be used to simulate the delivery of TTFields by the patient modeling application 608. The simulated electric field distributions, dosimetry, and simulation-based analysis are described in U.S. Patent Application No. 20190117956 and the publication, "Correlation of Tumor Treating Fields Dosimetry to Survival Outcomes in Newly Diagnosed Glioblastoma: A Large-Scale Numerical Simulation-based Analysis of Data from the Phase 3 EF-14 Randomized Trial" by Ballo et al. (2019), which are incorporated herein by reference in their entireties.

[0055] To ensure orderly placement of the transducer array relative to the tumor location, a reference coordinate system may be defined. For example, a horizontal plane may first be defined by the conventional LR and anteroposterior (AP) placement of the transducer array. The left-right direction may be defined as the X-axis, the AP direction may be defined as the Y-axis, and the craniocaudal direction perpendicular to the XY plane may be defined as the Z-axis.

[0056] After defining the coordinate system, the transducer array may be virtually placed on the patient model, with the center and longitudinal axis of the transducer array positioned in the XY plane. The pair of transducer arrays may be systematically rotated around the Z axis of the head model, i.e., in the XY plane, from 0 to 180 degrees, thereby rotating (by symmetry) around the entire circumference of the head. The rotation interval may be, for example, 15 degrees, corresponding to a translation of approximately 2 cm, giving a total of 12 different positions in the 180-degree range. Other rotation intervals are also contemplated. Electric field distribution calculations may be performed for each transducer array position relative to the tumor coordinates.

[0057] The electric field distribution in the patient model may be determined by the patient modeling application 608 using a finite element (FE) approximation of the potential. In general, the quantities defining the time-varying electric field are given by the complex Maxwell's equations. However, at the low to intermediate frequencies (f = 200 kHz) of the biological tissue and TTFields, the electromagnetic wavelength is much larger than the size of the head, and the permittivity ε is negligible compared to the real-valued conductivity σ. That is, where ω = 2πf is the angular frequency. This means that the electromagnetic wave propagation effects and capacitive effects within the tissue can be ignored, and thus, the scalar potential can be well approximated by the static Laplace equation ∇(σ∇Φ)=0 using appropriate boundary conditions at the electrodes and the skin. Thus, the complex impedance is considered resistive (i.e., the reactance can be ignored), and thus, the current flowing within the volume conductor is mainly free (Ohmic) current. The FE approximation of the Laplace equation may be calculated using software such as SimNIBS software (simnibs.org). The calculations based on the residuals of the Galerkin method and conjugate gradient solver need to be <IE - 9. The Dirichlet boundary condition was used by setting the potential to a fixed value (arbitrarily chosen) in each set of electrode arrays. The electric field (vector) may be calculated as the numerical gradient of the potential, and the current density (vector field) may be calculated from the electric field using Ohm's law. The potential difference and current density of the electric field values may be linearly rescaled such that the total peak-to-peak amplitude for each array pair is 1.8 A, and the total peak-to-peak amplitude for each array pair is calculated as the (numerical) surface integral of the normal current density components over all triangular elements on the active electrode disk. The "dose" of TTFields may be calculated as the strength (L2 norm) of the field vector. The modeled currents may be assumed to be supplied by two separate sequential active sources each connected to a pair of 3×3 transducer arrays. The left and rear arrays may be defined as sources in the simulation, while the right and front arrays were each made the corresponding sinks. However, since TTFields uses an alternating electric field, this choice is arbitrary and does not affect the results.

[0058] The average electric field strength generated by a transducer array placed at multiple locations on the patient may be determined for one or more tissue types by the patient modeling application 608. In one aspect, the transducer array position corresponding to the highest average electric field strength in the tumor tissue type may be selected as the desired (e.g., optimal) transducer array position for the patient.

[0059] In some examples, transducer array placement locations, such as optimized transducer array placement locations, may be determined to enable and / or optimize TTFields treatment and / or therapy. For example, one or more users (e.g., physicians, nurses, assistants, staff, medical physicists, dosimetrists, etc.) may use a user interface to determine and / or generate transducer array layout maps (e.g., three-dimensional array layout maps, etc.) for placing transducer arrays on the body (e.g., head, torso, etc.) of a person (e.g., patient, subject, etc.) that optimize TTFields treatment and / or therapy while avoiding and / or limiting skin toxicity. For example, multiple sets (e.g., groups, lists, etc.) of transducer array layout maps may be determined, each set including transducer array layout maps that meet one or more criteria. The criteria may include a potential value of an electric field distributed within a region of interest (ROI) associated with a person (e.g., a patient, a subject, etc.), a potential power density associated with the electric field distributed within the ROI, an estimate of skin toxins associated with a body part of the person (e.g., a head, a torso, etc.), and / or any other criteria. A set of transducer array layout maps in the multiple sets of transducer array layout maps may be determined, including two or more transducer array layout maps including non-overlapping positions of transducer array placements. The multiple sets of transducer array layout maps may, for example, be displayed to a user and / or may be selectable, for example, via a user interface. The user interface may be used to select a transducer array layout map, and based on the selection, may be presented with a set of transducer array layout maps in the multiple sets of transducer array layout maps associated with the selected transducer array layout map (e.g., based on a criterion, non-overlapping positions, overlapping positions, etc.).

[0060] An exemplary method includes presenting a plurality of images of an anatomical volume to at least one user and accepting a selection from the at least one user of which images of the anatomical volume to use to generate a plurality of transducer array layout maps. The method may include generating a model (3D model) of electrical properties of the anatomical volume based on the selected images and determining a plurality of transducer array layouts. Then, evaluating which of the determined transducer array layouts meets at least one criterion based on the generated model. The method may also include presenting the plurality of transducer array layout maps that meet the at least one criterion to the at least one user and accepting from the at least one user a selected one of the transducer array layouts presented to the at least one user. A report representing the selected transducer array layout may be generated. In some examples, the model may be based on at least one additional image. In some examples, generating the model may include performing segmentation based on input received from the at least one user. In some examples, the at least one user may include a first user and a second user. The method may also include accepting input from a first user identifying a region of interest and outputting data representing the region of interest to a second user. In some examples, generating the model may include performing segmentation based on the input received from the second user. In some examples, the method may include accepting input from the first user identifying an overall segmentation and outputting data representing the overall segmentation to the second user. In some examples, generating the model may include performing segmentation based on the input received from the second user. In some examples, the method may include accepting at least one note from the first user and outputting the at least one note to the second user.In some examples, generating the model may include performing segmentation based on input received from a second user. In some examples, the method may include accepting input from a first user identifying an avoidance region and outputting data representing the avoidance region to the second user. In some examples, generating the model may include performing segmentation based on input received from the second user.

[0061] FIG. 10 is a block diagram illustrating an exemplary system 1000 for managing transducer array placement. In some examples, components of system 1000 may be implemented as a single device or the like. In some examples, components of system 1000 may be implemented as separate devices / components and / or implemented in collective communication. System 1000 and / or its components may be implemented as hardware, software, or a combination of both hardware and software. In one aspect, some or all steps of any of the aforementioned methods herein may be performed on and / or via components of system 1000. System 1000 may be used to determine locations for transducer array placement on the body of a person (e.g., a patient, a subject, etc.). The locations for transducer array placement may be indicated by one or more transducer array layout maps. A user (e.g., a doctor, a nurse, an assistant, a staff member, a medical physicist, a dosimetrist, etc.) may use system 1000 to generate and / or evaluate multiple transducer array layout maps. System 1000 enables a user, who may be a more costly and / or highly skilled party (e.g., a physician, etc.), to provide guidance and / or instructions to a less costly party (e.g., a dosimetrist, a medical physicist, etc.) for determining and / or generating a transducer array layout map. For example, image data (e.g., one or more images associated with CT, MRI, ultrasound, SPECT, X-ray CT, PET, etc.) may be segmented via a user device, and the segmented image data may be sent to another user device for analysis and used to generate a three-dimensional (3D) model and / or used to generate multiple transducer array layout maps.The determined and / or generated transducer array layout maps may be reviewed and / or selected to generate a report, which may be used to validate TTFields treatment and / or therapy.

[0062] The system 1000 may include a patient support module 1001. The patient support module 1001 may include a processor 1008. The processor 1008 may be a hardware device for executing software, specifically software stored in memory 1010. The processor 1008 may be any custom or commercially available processor, a central processing unit (CPU), a coprocessor among several processors associated with the patient support module 1001, a semiconductor-based microprocessor (in the form of a microchip or chipset), or generally any device for executing software instructions. When the patient support module 1001 is in operation, the processor 1008 may be configured to execute software stored in the memory 1010, communicate data to and from the memory 1010, and generally control the operation of the patient support module 1001 in accordance with the software.

[0063] The input / output interface 1012 may be used to receive user input from and / or provide system output to one or more devices or components, such as user devices 1020 and 1030. User input may be provided, for example, via a keyboard, a mouse, a data / telecommunications interface, etc. The input / output interface 1012 may include, for example, a serial port, a parallel port, a small computer system interface (SCSI), an IR interface, an RF interface, and / or a universal serial bus (USB) interface.

[0064] The network interface 1014 may be used to send and receive data / information to and from the patient support module 1001. The network interface 1014 may include, for example, a 10BaseT Ethernet adapter, a 100BaseT Ethernet adapter, a LAN PHY Ethernet adapter, a token ring adapter, a wireless network adapter (e.g., WiFi), or any other suitable network interface device. The network interface 1014 may include address, control, and / or data connections to enable appropriate communications.

[0065] The memory 1010 (memory system) may include any one or combination of volatile memory elements (e.g., random access memory (RAM, such as DRAM, SRAM, SDRAM)) and non-volatile memory elements (e.g., ROM, hard drive, tape, CD-ROM, DVD-ROM, etc.). Additionally, the memory 1010 may incorporate electronic, magnetic, optical, and / or other types of storage media. In some examples, the memory system 1010 may have a distributed architecture, in which various components are located remotely from each other but may be accessed by the processor 1008.

[0066] The memory 1010 may include one or more software programs, each comprising an ordered list of executable instructions for implementing logical functions. For example, the memory 1010 includes the EFG configuration application 606, the patient modeling application 608, and the imaging data 610, as described in FIG. 6, and includes a suitable operating system (O / S) 1018. The operating system 1018 essentially controls the execution of other computer programs and performs scheduling, input / output control, file and data management, memory management, and communication control and related services.

[0067] For purposes of illustration, application programs and other executable program components, such as the operating system 1018, are illustrated herein as separate blocks. However, it should be appreciated that such programs and components may reside in different storage components within the patient support system 602 at various times. An implementation of the EFG configuration application 606, the patient modeling application 608, the imaging data 610, and / or the control software 110 may be stored on or transmitted via some form of computer-readable media. Any of the disclosed methods may be performed by computer-readable instructions embodied on a computer-readable medium. A computer-readable medium may be any available medium that can be accessed by a computer. By way of example, and not limitation, computer-readable media may include “computer storage media” and “communications media.” “Computer storage media” may include volatile and nonvolatile media, removable and non-removable media implemented in any method or technology for storage of information, such as computer-readable instructions, data structures, program modules, or other data. Exemplary computer storage media may include RAM, ROM, EEPROM, flash memory, or other memory technology, CD-ROM, digital versatile disks (DVDs), or other optical storage devices, magnetic cassettes, magnetic tape, magnetic disk storage, or other magnetic storage devices, or any other medium that can be used to store the desired information and that can be accessed by a computer.

[0068] The system 1000 may include user devices 1020 and 1030. The user devices 1020 and 1030 may be electronic devices such as computers, smartphones, laptops, tablets, etc. that are capable of communicating with the patient support module 1001. Although only the user devices 1020 and 1030 are shown, the system 1000 may include multiple devices.

[0069] The user devices 1020 and 1030 may include an interface module 1022. The interface module 1022 may constitute an interface through which a user interacts with the user devices 1020 and 1030 and / or the patient support module 1001. The interface module 1022 may include one or more input devices / interfaces, such as a keyboard, a pointing device (e.g., a computer mouse, a remote control), a microphone, a joystick, a scanner, and / or a tactile input device.

[0070] The interface module 1022 may include one or more interfaces for presenting and / or receiving information, such as user feedback, to and / or from a user (e.g., a physician, nurse, assistant, staff member, medical physicist, dosimetrist, etc.). The interface module 1022 may include any software, hardware, and / or interfaces used to communicate between a user and one or more of the user devices 1020 and 1030, the patient support module 1001, and / or any other components of and / or associated with the system 1000. The interface module 1022 may include one or more displays (e.g., a monitor, a head-up display, a head-mounted display, a liquid crystal display, an organic light-emitting diode display, an active-matrix organic light-emitting diode display, a stereo display, etc.) for displaying / presenting information to the user. The interface module 1022 may include one or more audio devices (e.g., a stereo, a speaker, a microphone, etc.) for capturing / acquiring audio information and communicating audio information captured / acquired from and / or communicated to the user. The interface module 1022 may include a graphical user interface (GUI), a web browser (e.g., Internet Explorer®, Mozilla Firefox®, Google Chrome®, Safari®, etc.), applications / APIs. The interface module 1022 may request and / or query various files from local and / or remote resources, such as the patient support module 1001.

[0071] The interface module 1022 may transmit / send data / information to local and / or remote devices / components of the system 1000, such as the patient support module 1001 and / or another user device (e.g., user device 1020, user device 1030, etc.). The user devices 1020 and 1030 may include a communications module 1023. The communications module 1023 may enable the user devices 1020 and 1030 to communicate with components of the system 1000, such as the patient support module 1001 and / or another user device, via wired and / or wireless communications techniques. For example, the communications module 1023 may utilize any suitable wired communications technique, such as Ethernet, coaxial cable, optical fiber, etc. The communications module 1023 may utilize any suitable long-range communications technique, such as Wi-Fi (IEEE 802.11), BLUETOOTH, cellular, satellite, infrared, etc. Communications module 1023 may utilize any suitable short-range communications technique, such as BLUETOOTH, near field communications, infrared, or the like.

[0072] As described above, system 1000 may be used to determine locations for transducer array placement on the body of a person (e.g., a patient, a test subject, etc.). The locations for transducer array placement may be indicated by one or more transducer array layout maps. A user (e.g., a doctor, a nurse, an assistant, a staff member, a medical physicist, a dosimetrist, etc.) may use system 1000 to generate and / or evaluate multiple transducer array layout maps. System 1000 enables a user (e.g., a doctor, etc.), who may be a more costly and / or highly skilled party, to provide guidance and / or instructions for determining and / or generating transducer array layout maps to a less costly party (e.g., a dosimetrist, a medical physicist, etc.). For example, a higher cost and / or highly skilled party may use the user device 1020 to provide guidance and / or instructions to a lower cost party (e.g., a dosimetrist, a medical physicist, etc.), who may be a user of the user device 1030, for determining and / or generating a transducer array layout map.

[0073] 11A-11D show screens of an exemplary interface (e.g., interface module 1022, etc.) for managing transducer array placement. For example, one or more images of a subject / patient's body part (e.g., head, torso, anatomical volume, etc.) obtained from imaging data 610 may be segmented and used to generate a three-dimensional (3D) model. FIG. 11A shows an exemplary screen 1101 of a user interface 1100. Screen 1101 may include subject / patient identification information 1102. Identification information 1102 may identify a subject / patient associated with one or more images used to generate the 3D model. Interactive elements 1103 (e.g., tabs, etc.) may enable and / or direct progression through user interface 1100. In response to instructions from interactive elements 1103, screen 1101 may be used to segment the image data.

[0074] Screen 1101 allows a user (e.g., a user of user devices 1020 and 1030) to import and inspect one or more images of a subject / patient's body part (e.g., head, torso, anatomical volume, etc.) and determine whether the image should be used to generate a 3D model. Images may be imported, for example, from patient support module 1001 by interacting with interactive element 1103 (e.g., a button, etc.). Interacting with interactive element 1104 may open a menu that allows the user to search for and / or upload related images. After images are imported, for example, from imaging data 610, a display of the images may be shown in panel 1105. FIG. 11B shows exemplary screen 1101 of user interface 1100 when images have been imported and are displayed in panel 1105 by image 1106. The user views and inspects the imported images 1106, for example, by using interactive elements 1104 (e.g., a mouse, touchpad, etc.) to drag one or more of the images 1106 into one or more windows 1107 on screen 1101. The user may identify the images (e.g., one or more images, a set of images, etc.) that are most suitable for the TTFields treatment plan. One or more of the images 1106 are displayed in window 1107, as shown in FIG. 11B.

[0075] After viewing / inspecting the images 1106, the user may select an image or set of images to be used to segment and generate a 3D model. In some examples, a user of the user device 1020 may select an image or set of images, and the user device 1020 may send the selected image or set of images (e.g., information associated with the selected image or set of images, etc.) to the user device 1030 for segmentation and 3D model generation. In some examples, a user of the user device 1030 may select an image or set of images, and the user device 1030 may send the selected image or set of images (e.g., information associated with the selected image or set of images) to the user device 1020 for segmentation and 3D model generation. Upon selecting an image or set of images, the image may be marked with an element 1108, such as an “anchor” icon, indicating that the image is the primary (“anchor”) image to be used to generate a computational 3D model and / or transducer array layout map. Other images may be marked as "assisting images" to indicate that the user has optionally selected the images to assist in generating the 3D model and / or transducer array layout map. The assisting images may be registered to the primary image to improve the accuracy of the 3D model. In some examples, the quality of the 3D model and / or transducer array layout map may be proportional to the number of images used to generate the 3D model and / or transducer array layout map.

[0076] A user may select an image displayed in one or more windows 1107. After an image is selected, the image may be segmented to identify / determine / select image features and / or regions of interest within the image, such as tumors and / or abnormal tissue structures, to be displayed. User interface 1100 may be configured with segmentation tools (e.g., semi-automatic segmentation tools, manual segmentation tools, etc.) and / or algorithms that allow a user to mark features, structures, and / or regions of interest (ROIs) within the image. For example, a segmentation tool may allow a user to mark regions of the image as expanding tumor, necrotic core, resection cavity, craniotomy, etc. Region 1109 of screen 1101 shows examples of structures within an image that may be defined by the user, such as tissue types, ROIs, and avoided structures / regions. Avoided structures / regions may be any areas on the surface of a subject / patient's body where a transducer array should not be placed, such as areas of scar tissue, areas of medical device implantation, etc.

[0077] As described above, a user may assign tissue types to images used to generate a 3D model and / or transducer array layout map. When a user assigns a tissue type to a particular voxel in an image, the corresponding voxel in the 3D model is assigned the same tissue type dielectric and / or electrical properties associated with that tissue type. A unique label may be assigned to each ROI determined and / or selected by the user. The user interface 1100 allows the user to optionally mark any determined and / or selected ROI on the image used to generate the 3D model and / or transducer array layout map. In some examples, any determined and / or selected ROI may be used by an electric field distribution simulation and / or optimization algorithm to generate a transducer array layout map. In some examples, ROIs may be imported into the system 1000 from an external source (e.g., third-party software used to plan radiation therapy). After the user completes segmentation editing of the image, they may interact with and / or select the interactive element 1110 to generate a 3D model.

[0078] 11C shows an exemplary screen 1111 of user interface 1100. Screen 1111 may be a progression screen of screen 1101. As shown, interactive element 1103 is set to "model" to show progression of user interface 1100. Screen 1111 may display any abnormal tissue shown on screen 1101 and any normal internal body tissue in the image (e.g., gray matter, white matter, scalp, skull, and CSF). User interface 1100 may be configured to automatically add and / or include any normal internal body tissue when generating the 3D model.

[0079] The generated 3D model may model any electrical properties at any point in space within a portion of the subject / patient's body (e.g., head, torso, anatomical volume, etc.). For example, system 1000 may map the electrical properties onto the 3D model. Mapping the electrical properties onto the 3D model may be based on diffusion tensor imaging MRI data (DTI), water electric property tomography (wEPT), machine learning, and / or any other method / technique for relating electrical properties to tissue types based on image data. After the 3D model is generated, user interface 1100 allows a user to place simulated transducer arrays at various locations on the 3D model, simulate the application of AC voltages to the simulated transducer arrays, and run a simulation to determine the resulting electric field distribution and / or power density at any point within the portion of the subject / patient's body (e.g., head, torso, anatomical volume, etc.) represented by the 3D model. The 3D model may be displayed to the user. If the user is not satisfied with the displayed model, they may, for example, use interactive element 1112 "view segmentation" to return to a previous screen, such as the segmentation input screen, of user interface 1100. If the user is satisfied with the displayed model, they may, for example, use interactive element 1113 "create plan" to proceed to the next screen of user interface 1100.

[0080] FIG. 11D shows an exemplary screen 1114 of the user interface 1100. A user may proceed to screen 1114, for example, by interacting with interactive element 1103 "plan." For example, screen 1114 may be used to analyze, evaluate, and / or select a TTFields treatment plan. For example, after a 3D model is generated and multiple simulated electric field distributions are determined based on the 3D model, multiple transducer array layout maps may be generated. In some examples, the system 1000 may determine multiple transducer array layouts, for example, from a library, record, corpus, etc. of standard transducer array layouts. In some examples, the system 1000 may determine multiple transducer array layouts and, for example, allow a user to use the user interface 1100 to reposition one or more arrays to converge on a transducer array layout map that provides the desired and / or best (e.g., best suited to meeting a criterion, etc.) results. Based on the changes in the position of the one or more arrays as described above, the system 1000 may determine one or more transducer array layout maps (e.g., a set of transducer array layout maps, etc.) among the plurality of transducer array layout maps that optimize the electric field distribution within the target ROI while also satisfying constraints related to transducer array placement imposed by the avoidance structure. For example, one or more sets of transducer array layout maps may be determined (e.g., automatically selected, manually selected, etc.) from the plurality of transducer array layout maps, each representing at least two transducer array layout maps having positions that do not overlap with one another, and / or satisfy criteria. As described above, the criteria may include the magnitude of the simulated electric field distribution within the ROI associated with the 3D model, the power density associated with the simulated electric field distribution within the ROI, etc. In some examples, the criteria may be obtained based on an estimate of skin toxicity associated with the portion of the subject / patient's body where the transducer array is placed and / or the avoidance region.

[0081] The best transducer array layout map for a desired TTFields treatment plan may be determined to be the layout map that generates composite data (e.g., a report, plan, summary, etc.). The composite data may include, for example, information related to the transducer array layout map and associated simulated electric field distribution. The composite data may be displayed, for example, via user interface 1100. Referring again to FIG. 11D , screen 1114 may display the electric field distribution associated with each transducer array layout map of multiple transducer array layout maps (e.g., displayed as one or more color maps). For example, interactive element 1115 may be used to display the electric field distribution for each transducer array layout map (TAL) by interacting with the corresponding TAL element (e.g., TAL 1 through TAL 5). As shown, TAL 1 of interactive element 1115 is selected, and the color map of the electric field distribution and the associated transducer array layout map are displayed in areas 1116 and 1117, respectively. A table summarizing the electric field dose delivered to the target ROI for each transducer array layout map of the plurality of transducer array layout maps may be displayed to allow a user to select a TTFields treatment plan. In some examples, an overall score for each transducer array layout map and / or each set of transducer array layout maps of the plurality of transducer array layout maps may be determined and displayed. The score represents the degree to which one or more criteria are met by the associated transducer array layout map. The scores may be color-coded (e.g., green for highest score, yellow for medium score, and red for low score). The plurality of transducer array layout maps and / or sets of transducer array layout maps in the plurality of transducer array layout maps may be ranked according to any method, algorithm, and / or criteria, and this ranking may be displayed to the user.

[0082] The user interface 1100 enables, for example, a user to evaluate a plurality of transducer array layout maps and / or sets of transducer array layout maps. The evaluation of the transducer array layout maps may be based on and / or determine the quality of the 3D model used to generate the transducer array layout map (e.g., TTFields treatment plan, etc.). The user may evaluate and select one or more transducer array layout maps and / or sets of transducer array layout maps in the plurality of transducer array layout maps.

[0083] 12 shows a flowchart of a method 1200 for managing transducer array placement. One or more of the apparatus 100, the patient support system 602, the patient modeling application 608, the system 1000, and / or any other devices / components described herein can be configured to perform the method 1200, which includes generating 1210 a three-dimensional (3D) model of a portion of the subject's body. The generation of the 3D model may be based on image data from any imaging modality, such as one or more images related to CT, MRI, ultrasound, SPECT, X-ray CT, PET, combinations thereof, etc. In some examples, one or more user devices may display multiple images of the portion of the subject's body. A selected one or more images of the multiple images may be received based on a region of interest (ROI), and a 3D model may be generated based on the one or more images. For example, the ROI may be obtained based on features and / or structures in one or more images, such as an expanding tumor, a necrotic core, a resection cavity, a craniotomy, etc. In some examples, information related to the ROI may be received from a first user device in the one or more user devices, and the selected one or more images may be received from a second user device in the one or more user devices.

[0084] At 1220, a plurality of transducer array layout maps are determined based on the 3D model and the plurality of simulated electric field distributions. Determining the plurality of transducer array layout maps may include determining a plurality of pairs of locations for transducer array placement based on the 3D model. In some examples, the plurality of pairs of locations for transducer array placement may be determined from a library, record, corpus, etc. of standard transducer array layouts. In some examples, the plurality of pairs of locations for transducer array placement may be determined and / or selected to avoid one or more regions (e.g., avoidance regions, etc.) in the 3D model. For each pair of locations in the plurality of pairs of locations, one simulated electric field distribution in the plurality of simulated electric field distributions may be determined. Determining a simulated electric field distribution for each pair of locations in the plurality of pairs of locations may include simulating a first electric field generated by a first transducer array at a first location in the pair of locations and simulating a second electric field generated by a second transducer array at a second location in the pair of locations. The second location may be opposite the first location. In some examples, a third electric field generated by the first transducer array may be simulated at the third location, and a fourth electric field generated by the second transducer array may be simulated at a fourth location opposite the third location, and a simulated electric field distribution may be determined based on the third electric field and the fourth electric field. The simulated electric field distribution may be determined based on the first electric field and the second electric field and / or the third electric field and the fourth electric field. A plurality of transducer array layout maps may be determined based on the plurality of simulated electric field distributions.

[0085] At 1230, one or more sets of transducer array layout maps are determined from the plurality of transducer array layout maps, each set of transducer array layout maps representing at least two transducer array layout maps having non-overlapping positions in the plurality of pairs of positions for transducer array placement, wherein the at least two transducer array layout maps satisfy criteria. The criteria may include a magnitude of one of the plurality of simulated electric field distributions within a region of interest (ROI) associated with the 3D model, a power density associated with the one of the plurality of simulated electric field distributions within the ROI, and an estimate of skin toxins associated with the portion of the subject's body.

[0086] At 1240, one or more sets of transducer array layout maps are displayed. The one or more sets of transducer array layout maps may be displayed by an interface of one or more user devices. A selected set of transducer array layout maps in the one or more transducer array layout maps may be received, for example, via an interface of one or more user devices. Composite data (e.g., a report, plan, summary, etc.) may be generated based on the selected set of transducer array layout maps. The composite data may include information related to the selected set of transducer array layout maps and simulated electric field distributions associated with the selected set of transducer array layout maps in the plurality of simulated electric field distributions. The composite data may be sent to the one or more user devices.

[0087] 13 shows a flowchart of a method 1300 for managing transducer array placement. One or more of the apparatus 100, the patient support system 602, the patient modeling application 608, the system 1000, and / or any other devices / components described herein can be configured to perform the method 1300, which includes generating 1310 a three-dimensional (3D) model of a portion of the subject's body. The generation of the 3D model may be based on image data from any imaging modality, such as one or more images related to CT, MRI, ultrasound, SPECT, X-ray CT, PET, combinations thereof, etc. In some examples, one or more user devices may display multiple images of the portion of the subject's body of interest. A selected one or more images of the multiple images may be received based on a region of interest (ROI), and a 3D model may be generated based on the one or more images. For example, the ROI may be obtained based on features and / or structures in one or more images, such as an expanding tumor, a necrotic core, a resection cavity, a craniotomy, etc. In some examples, information related to the ROI may be received from a first user device in the one or more user devices, and the selected one or more images may be received from a second user device in the one or more user devices.

[0088] At 1320, a plurality of transducer array layout maps are determined based on the 3D model and the plurality of simulated electric field distributions. Determining the plurality of transducer array layout maps may include determining a plurality of pairs of locations for transducer array placement based on the 3D model. In some examples, the plurality of pairs of locations for transducer array placement may be determined from a library, record, corpus, etc. of standard transducer array layouts. In some examples, the plurality of pairs of locations for transducer array placement may be determined and / or selected to avoid one or more regions (e.g., avoidance regions, etc.) in the 3D model. For each pair of locations in the plurality of pairs of locations, one simulated electric field distribution in the plurality of simulated electric field distributions may be determined. Determining a simulated electric field distribution for each pair of locations in the plurality of pairs of locations may include simulating a first electric field generated by a first transducer array at a first location in the pair of locations and simulating a second electric field generated by a second transducer array at a second location in the pair of locations. The second location may be opposite the first location. In some examples, a third electric field generated by the first transducer array may be simulated at the third location, and a fourth electric field generated by the second transducer array may be simulated at a fourth location opposite the third location, and a simulated electric field distribution may be determined based on the third electric field and the fourth electric field. The simulated electric field distribution may be determined based on the first electric field and the second electric field and / or the third electric field and the fourth electric field. A plurality of transducer array layout maps may be determined based on the plurality of simulated electric field distributions.

[0089] At 1330, a selected first transducer array layout map from the plurality of transducer array layout maps is received. The first transducer array layout map satisfies criteria. The selected first transducer array layout map may be received from one or more user devices. The criteria may include a magnitude of a simulated electric field distribution from the plurality of simulated electric field distributions within a region of interest (ROI) associated with the 3D model, a power density associated with the simulated electric field distribution from the plurality of simulated electric field distributions within the ROI, and an estimate of skin toxicity associated with the portion of the subject's body.

[0090] At 1340, one or more associated transducer array layout maps are determined from the plurality of transducer array layout maps. Each associated transducer array layout map may include locations for transducer array placement that do not overlap with locations for transducer array placement in the first transducer array layout map. In some examples, each associated transducer array layout map may satisfy a criterion.

[0091] At 1350, a second transducer array layout map selected from the one or more associated transducer array layout maps is received.

[0092] At 1360, the first transducer array layout map and the second transducer array layout map are displayed. In some examples, composite data (e.g., a report, a plan, a summary, etc.) may be generated based on the first transducer array layout map and the second transducer array layout map. The composite data may include, for example, information related to the first transducer array layout map and the second transducer array layout map and simulated electric field distributions associated with the first transducer array layout map and the second transducer array layout map in the plurality of simulated electric field distributions.

[0093] 14 shows a flowchart of a method 1400 for managing transducer array placement. One or more of the apparatus 100, the patient support system 602, the patient modeling application 608, the system 1000, and / or any other devices / components described herein can be configured to perform the method 1400, which includes generating 1410 a three-dimensional (3D) model of a portion of the subject's body. The generation of the 3D model may be based on image data from any imaging modality, such as one or more images related to CT, MRI, ultrasound, SPECT, X-ray CT, PET, combinations thereof, etc. In some examples, one or more user devices may display multiple images of the portion of the subject's body. A selected one or more images of the multiple images may be received based on a region of interest (ROI), and a 3D model may be generated based on the one or more images. For example, the ROI may be obtained based on features and / or structures in one or more images, such as an expanding tumor, a necrotic core, a resection cavity, a craniotomy, etc. In some examples, information related to the ROI may be received from a first user device in the one or more user devices, and the selected one or more images may be received from a second user device in the one or more user devices.

[0094] At 1420, a plurality of transducer array layout maps are determined based on the 3D model and the plurality of simulated electric field distributions. Determining the plurality of transducer array layout maps may include determining a plurality of pairs of locations for transducer array placement based on the 3D model. In some examples, the plurality of pairs of locations for transducer array placement may be determined from a library, record, corpus, etc. of standard transducer array layouts. In some examples, the plurality of pairs of locations for transducer array placement may be determined and / or selected to avoid one or more regions (e.g., avoidance regions, etc.) in the 3D model. For each pair of locations in the plurality of pairs of locations, one simulated electric field distribution in the plurality of simulated electric field distributions may be determined. Determining a simulated electric field distribution for each pair of locations in the plurality of pairs of locations may include simulating a first electric field generated by a first transducer array at a first location in the pair of locations and simulating a second electric field generated by a second transducer array at a second location in the pair of locations. The second location may be opposite the first location. In some examples, a third electric field generated by the first transducer array may be simulated at the third location, and a fourth electric field generated by the second transducer array may be simulated at a fourth location opposite the third location, and a simulated electric field distribution may be determined based on the third electric field and the fourth electric field. The simulated electric field distribution may be determined based on the first electric field and the second electric field and / or the third electric field and the fourth electric field. A plurality of transducer array layout maps may be determined based on the plurality of simulated electric field distributions.

[0095] At 1430, a selected first transducer array layout map and a second transducer array layout map in the plurality of transducer array layout maps are received. The selected first transducer array layout map and the second transducer array layout map may be received via an interface of one or more user devices.

[0096] At 1440, an overlap condition is determined based on the first transducer array layout map and the second transducer array layout map. Each transducer array layout map of the plurality of transducer array layout maps may include one or more pairs of positions in the plurality of pairs of positions for transducer array placement. The overlap condition may indicate that the first transducer array layout map comprises one or more pairs of positions in the plurality of pairs of positions that overlap with one or more pairs of positions in the plurality of pairs of positions associated with the second transducer array layout map. For example, the first transducer array layout map may include positions for transducer arrays located at the same positions (e.g., overlapping, etc.) shown on the 3D model, or may include positions at positions shown on the 3D model that satisfy a distance threshold and / or are within a tolerance placement range relative to each other (e.g., substantially overlapping, etc.).

[0097] At 1450, the overlap condition is displayed. One or more user devices may be caused to display the overlap condition, for example, via an interface, a display, etc. In some cases, the overlap condition may be indicated by an audio sound and / or a notification.

[0098] In view of the foregoing devices, systems, and methods, and variations thereof, more particularly described embodiments of the present invention are described herein below. However, these specifically described embodiments should not be construed as having any limiting effect on different claims that include different or more general teachings set forth herein, nor should the "particular" embodiments be construed as limited in any way other than in the inherent sense of the language literally used herein.

[0099] Embodiment 1: A method comprising: generating a three-dimensional (3D) model of a body portion of a subject; determining a plurality of transducer array layout maps based on the 3D model and a plurality of simulated electric field distributions; determining one or more sets of transducer array layout maps from the plurality of transducer array layout maps, each set of transducer array layout maps representing at least two transducer array layout maps including non-overlapping positions in a plurality of pairs of positions for transducer array placement, and wherein at least two transducer array layout maps satisfy a criterion; and displaying the one or more sets of transducer array layout maps.

[0100] Embodiment 2: An embodiment of any of the above embodiments, wherein the criteria include a magnitude of a simulated electric field distribution among the plurality of simulated electric field distributions within a region of interest (ROI) associated with the 3D model, a power density associated with the simulated electric field distribution among the plurality of simulated electric field distributions within the ROI, and an estimate of skin toxicity associated with that portion of the subject's body.

[0101] Embodiment 3: An embodiment according to any one of embodiments 1 or 2 above, further comprising receiving a selected set of transducer array layout maps in one or more sets of transducer array layout maps.

[0102] Embodiment 4: The embodiment of embodiment 3, further comprising generating the composite data based on a selected set of transducer array layout maps.

[0103] Embodiment 5: An embodiment described in embodiment 4, wherein the composite data includes information associated with a selected set of transducer array layout maps and simulated electric field distributions associated with the selected set of transducer array layout maps in the plurality of simulated electric field distributions.

[0104] Embodiment 6: The embodiment of embodiment 4, further comprising sending the composite data to the user device.

[0105] Embodiment 7: An embodiment of any one of the preceding embodiments, wherein the step of generating the 3D model includes the steps of: causing one or more user devices to display a plurality of images of the portion of the subject's body of interest; receiving a selected one or more images of the plurality of images based on a region of interest (ROI); and generating the 3D model based on the one or more images.

[0106] Embodiment 8: The embodiment described in embodiment 7, further comprising receiving information related to the ROI from a first user device in the one or more user devices, and wherein receiving the selected one or more images comprises receiving the selected one or more images from a second user device in the one or more user devices.

[0107] Embodiment 9: An embodiment described in any one of the above embodiments, wherein the step of determining the plurality of transducer array layout maps includes the steps of: determining a plurality of pairs of positions for transducer array placement based on the 3D model; determining one simulated electric field distribution in the plurality of simulated electric field distributions for each pair of positions in the plurality of pairs of positions; and determining the plurality of transducer array layout maps based on the plurality of simulated electric field distributions.

[0108] Embodiment 10: An embodiment described in embodiment 9, wherein the step of determining one simulated electric field distribution for each pair of positions in the plurality of pairs of positions includes the steps of simulating a first electric field generated by a first transducer array at a first position in the pair of positions, simulating a second electric field generated by a second transducer array at a second position in the pair of positions, the second position being opposite the first position, and determining a simulated electric field distribution based on the first electric field and the second electric field.

[0109] Embodiment 11: A method comprising: generating a three-dimensional (3D) model of a body part of a subject; determining a plurality of transducer array layout maps based on the 3D model and a plurality of simulated electric field distributions; receiving a selected first transducer array layout map from the plurality of transducer array layout maps, wherein the first transducer array layout map satisfies a criterion; determining one or more associated transducer array layout maps from the plurality of transducer array layout maps, wherein each associated transducer array layout map includes positions for transducer array placement that do not overlap with positions for transducer array placement in the first transducer array layout map, and wherein each associated transducer array layout map satisfies a criterion; receiving a second transducer array layout map selected from the one or more associated transducer array layout maps; and displaying the first transducer array layout map and the second transducer array layout map.

[0110] Embodiment 12: An embodiment described in embodiment 11, wherein the criteria include a magnitude of a simulated electric field distribution among a plurality of simulated electric field distributions within a region of interest (ROI) associated with the 3D model, a power density associated with the simulated electric field distribution among the plurality of simulated electric field distributions within the ROI, and an estimate of skin toxicity associated with that portion of the subject's body.

[0111] Embodiment 13: The embodiment of embodiment 11 or 12, further comprising generating composite data based on the first transducer array layout map and the second transducer array layout map.

[0112] Embodiment 14: An embodiment described in embodiment 13, wherein the composite data includes information relating to a first transducer array layout map and a second transducer array layout map, and simulated electric field distributions in a plurality of simulated electric field distributions relating to the first transducer array layout map and the second transducer array layout map.

[0113] Embodiment 15: An embodiment described in any one of embodiments 11 to 14, wherein the step of generating the 3D model includes the steps of: causing one or more user devices to display multiple images of the portion of interest of the subject's body; receiving one or more selected images of the multiple images based on a region of interest (ROI); and generating the 3D model based on the one or more images.

[0114] Embodiment 16: An embodiment described in embodiment 15, further comprising receiving information related to the ROI from a first user device in the one or more user devices, and wherein receiving the selected one or more images comprises receiving the selected one or more images from a second user device in the one or more user devices.

[0115] Embodiment 17: An embodiment described in any one of embodiments 11 to 16, wherein the step of determining a plurality of transducer array layout maps includes the steps of: determining a plurality of pairs of positions for transducer array placement based on a 3D model; determining one simulated electric field distribution in a plurality of simulated electric field distributions for each pair of positions in the plurality of pairs of positions; and determining a plurality of transducer array layout maps based on the plurality of simulated electric field distributions.

[0116] Embodiment 18: An embodiment described in embodiment 17, wherein the step of determining one simulated electric field distribution for each pair of positions in the plurality of pairs of positions includes the steps of simulating a first electric field generated by a first transducer array at a first position in the pair of positions, simulating a second electric field generated by a second transducer array at a second position in the pair of positions, the second position being opposite the first position, and determining a simulated electric field distribution based on the first electric field and the second electric field.

[0117] Embodiment 19: A method comprising: generating a three-dimensional (3D) model of a portion of a subject's body; determining a plurality of transducer array layout maps based on the 3D model and a plurality of simulated electric field distributions; receiving a selected first transducer array layout map and a second transducer array layout map from the plurality of transducer array layout maps; determining an overlap condition based on the first transducer array layout map and the second transducer array layout map; and displaying the overlap condition.

[0118] Embodiment 20: An embodiment described in embodiment 19, wherein each transducer array layout map of the plurality of transducer array layout maps comprises one or more pairs of positions among the plurality of pairs of positions for transducer array placement, and the overlap condition indicates that a first transducer array layout map comprises one or more pairs of positions among the plurality of pairs of positions that overlap with one or more pairs of positions among the plurality of pairs of positions associated with a second transducer array layout map.

[0119] Embodiment 21: A method comprising the steps of presenting a plurality of images of an anatomical volume to at least one user, accepting a selection from the at least one user of which images of the anatomical volume to use to generate a transducer array layout, creating a model of electrical properties of the anatomical volume based on the selected images, determining a plurality of transducer array layouts, evaluating based on the created model which transducer array layouts among the determined transducer array layouts satisfy at least one criterion, presenting the plurality of transducer array layouts that satisfy the at least one criterion to the at least one user, accepting from the at least one user a selected one of the transducer array layouts presented to the at least one user, and generating a report representing the selected transducer array layout.

[0120] Embodiment 22: An embodiment according to embodiment 21, wherein the model of the electrical properties of the anatomical volume is also obtained based on at least one additional image.

[0121] Embodiment 23: An embodiment as described in embodiment 21 or 22, wherein creating the model includes performing segmentation based on input received from at least one user.

[0122] Embodiment 24: An embodiment described in any one of embodiments 21 to 23, wherein the at least one user includes a first user and a second user, and the method further includes the steps of (a) accepting input from the first user identifying an area of ​​interest, and (b) outputting data representing the area of ​​interest to the second user.

[0123] Embodiment 25: The embodiment of embodiment 24, wherein creating the model includes performing segmentation based on input received from the second user.

[0124] Embodiment 26: An embodiment described in any one of embodiments 21 to 25, wherein the at least one user includes a first user and a second user, and the method further includes the steps of accepting input from the first user identifying an overall segmentation, and outputting data representing the overall segmentation to the second user.

[0125] Embodiment 27: The embodiment of embodiment 26, wherein creating the model includes performing segmentation based on input received from the second user.

[0126] Embodiment 28: An embodiment described in any one of embodiments 21 to 27, wherein the at least one user includes a first user and a second user, and the method further includes steps of (a) accepting at least one note from the first user, and (b) outputting the at least one note to the second user.

[0127] Embodiment 29: The embodiment of embodiment 28, wherein creating the model includes performing segmentation based on input received from the second user.

[0128] Embodiment 30: An embodiment described in any one of embodiments 21 to 29, wherein the at least one user includes a first user and a second user, and the method further includes the steps of (a) accepting input from the first user identifying the avoidance area, and (b) outputting data representing the avoidance area to the second user.

[0129] Embodiment 31: The embodiment of embodiment 30, wherein creating the model includes performing segmentation based on input received from the second user.

[0130] Unless otherwise expressly stated, it is in no way intended that any method described herein be construed as requiring that its steps be performed in a particular order. Thus, method claims do not actually recite the order in which the steps are to be followed, nor are the claims and description otherwise expressly limited to a particular order, nor is any order intended to be inferred in any way. This applies to potentially implicit bases of interpretation, including the organization of steps or operational flow, the plain meaning derived from grammatical constructions or punctuation, and logical matters regarding the number or type of embodiments described in the specification.

[0131] While the methods and systems have been described in connection with preferred embodiments and specific examples, the embodiments herein are in all respects illustrative rather than restrictive, and therefore the scope is not intended to be limited to the particular embodiments described.

[0132] Unless otherwise expressly stated, it is in no way intended that any method described herein be construed as requiring that its steps be performed in a particular order. Thus, method claims do not actually recite the order in which each step is to be followed, nor are the claims and description otherwise expressly limited to a particular order in which each step is to be performed, and no order is intended to be inferred in any way. This applies to potentially implicit bases of interpretation, including the organization of steps or operational flow, the plain meaning derived from grammatical constructions or punctuation, and logical matters regarding the number or type of embodiments described in the specification.

[0133] It will be apparent to those skilled in the art that various modifications and variations can be made without departing from the scope or spirit. Other embodiments will be apparent to those skilled in the art from consideration of the specification and practice disclosed herein. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit being indicated by the following claims. [Explanation of symbols]

[0134] 100 devices 102 Electric Field Generator 104, 104a, 104b transducer array 106 processors 108 Signal Generator 110 Control Software 112 Conductive lead wire 114 Output 116 Electrode 118 Flexible wiring board 120, 120a, 120b Medical adhesive bandages 302 Skin surface 304 Tumor 306 Bone tissue 308 Brain Tissue 310 AC electric field 600 System 602 Patient Support System 606 Electric Field Generator (EFG) Configuration Applications 608 Patient Modeling Applications 610 Imaging Data 800 3D array layout maps 1000 systems 1001 Patient Support Module 1008 processor 1010 memory 1012 Input / Output Interface 1014 Network Interface 1018 Operating Systems 1020, 1030 User Devices 1022 Interface Module 1023 Communication Module 1100 User Interface 1101 screens 1102 Subject / Patient Identification Information 1103, 1104 Interactive elements 1105 Panel 1106 images 1107 Window 1108 elements 1109 area 1110 Interactive Elements 1111 screen 1113, 1115 Interactive elements 1114 screens 1116, 1117 area 1200 methods 1300 methods 1400 methods

Claims

1. presenting a plurality of images of an anatomical volume to at least one user; accepting a selection from the at least one user as to which images of the anatomical volume to use to generate a transducer array layout; generating a model of the electrical properties of the anatomical volume based on the selected images; determining a plurality of transducer array layouts; evaluating which of the determined transducer array layouts satisfy at least one criterion based on the generated model; presenting to the at least one user a plurality of transducer array layouts that meet the at least one criterion; accepting from the at least one user a selected one of the transducer array layouts presented to the at least one user; generating a report representative of the selected transducer array layout; Including, The method, wherein the model of the electrical properties of the anatomical volume is also derived based on at least one additional image.

2. The method of claim 1 , wherein creating the model comprises performing segmentation based on input received from the at least one user.

3. 10. The method of claim 1, wherein the at least one user includes a first user and a second user, the method further comprising: (a) accepting input from the first user identifying an area of ​​interest; and (b) outputting data representing the area of ​​interest to the second user.

4. The method of claim 3 , wherein creating the model comprises performing segmentation based on input received from the second user.

5. 10. The method of claim 1, wherein the at least one user includes a first user and a second user, the method further comprising: accepting input from the first user identifying an overall segmentation; and outputting data representing the overall segmentation to the second user.

6. The method of claim 5 , wherein creating the model comprises performing segmentation based on input received from the second user.

7. 2. The method of claim 1, wherein the at least one user includes a first user and a second user, the method further comprising the steps of: (a) accepting at least one note from the first user; and (b) outputting the at least one note to the second user.

8. The method of claim 7 , wherein creating the model comprises performing segmentation based on input received from the second user.

9. 10. The method of claim 1, wherein the at least one user includes a first user and a second user, the method further comprising: (a) accepting input from the first user identifying an avoidance area; and (b) outputting data representing the avoidance area to the second user.

10. The method of claim 9 , wherein creating the model comprises performing segmentation based on input received from the second user.

Images