Tumor treatment field treatment planning

Abstract

A method for generating a transducer layout for generating a tumor treating electric field includes storing medical images of a subject, identifying one of the medical images as an anchor medical image, and registering the computed tomography medical image with the magnetic resonance imaging medical image. The method further includes separating abnormal tissue in the medical image from other tissue types and defining a region of interest (ROI) in the medical image. The method further includes creating a 3D model of the subject. The method further includes generating a plurality of transducer layouts for applying the tumor treating electric field to the subject, selecting at least two of the transducer layouts as recommended transducer layouts, presenting the recommended transducer layouts, receiving a user selection of at least one recommended transducer layout, and providing a report of the selected recommended transducer layout(s).

Description

CROSS-REFERENCE TO RELATED APPLICATIONS

[0001] This application claims priority to U.S. Patent Application No. 18 / 750,582, filed June 21, 2024, and U.S. Provisional Application No. 63 / 524,470, filed June 30, 2023, both of which are incorporated by reference in their entireties. This application is related to U.S. Provisional Application No. 63 / 524,387, filed June 30, 2023, both of which are incorporated by reference in their entireties. [Background technology]

[0002] Tumor treating fields (TT fields) are low-intensity alternating current electric fields in the mid-frequency range (e.g., 50 kHz to 1 MHz) that can be used to treat tumors, as described in U.S. Patent No. 7,565,205. TT fields are noninvasively induced in target regions by placing transducers on the patient's body and applying an AC voltage between the transducers. Conventionally, a first pair of transducers and a second pair of transducers are positioned on the subject's body. An AC voltage is applied between the first pair of transducers for a first time interval, creating an electric field with field lines running generally in the anterior-posterior direction. Then, an AC voltage at the same frequency is applied between the second pair of transducers for a second time interval, creating an electric field with field lines running generally in the lateral direction. The system repeats this two-step sequence throughout the treatment. [Brief explanation of the drawings]

[0003] [Figure 1A] 1 illustrates an exemplary method for treatment planning of TT electric fields according to one or more embodiments described herein. [Figure 1B] 1 illustrates an exemplary method for treatment planning of TT electric fields according to one or more embodiments described herein. [Figure 2] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 3]10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 4] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 5] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 6] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 7] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 8] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 9] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 10] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 11] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 12] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 13]10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 14] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 15] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 16] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 17] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 18] 10 illustrates an example user interface of a computer-based application for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 19] 10 shows an example treatment report of a treatment performed using a TT electric field, according to one or more embodiments described herein. [Figure 20] 10 shows an example treatment report of a treatment performed using a TT electric field, according to one or more embodiments described herein. [Figure 21] 1 illustrates an example system for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 22] 1 illustrates an example system architecture for treatment planning of TT electric fields, according to one or more embodiments described herein. [Figure 23] 1 is an example system for delivering a TT electric field to the body of a subject according to one or more embodiments described herein. [Figure 24]1 is an example of transducer placement on a subject's head according to one or more embodiments described herein. [Figure 25] 1 is an example apparatus for carrying out the disclosed methods, according to one or more embodiments described herein. DETAILED DESCRIPTION OF THE INVENTION

[0004] This application describes exemplary techniques for treatment planning for administering TT electric fields to a subject.

[0005] Typically, one or more pairs of transducers are placed on the subject's body and used to alternately apply TT fields to the subject's body. Generally, there are preferably at least two pairs of transducers positioned to target specific locations or structures (e.g., tumors) within the subject. Therefore, proper placement of the transducers is useful for treating the subject. Traditional treatment planning uses a series of measurements obtained from a magnetic resonance imaging (MRI) scan of the subject to measure aspects of the subject (e.g., the subject's head size, tumor location, tumor size, and / or similar factors, including combinations and / or multiple combinations thereof). These measurements are used to generate a customized layout of the transducer array. Generally, the layout does not include information about dose or dose distribution, and a layout is typically generated by the measurements.

[0006] The present inventors have recognized that a need exists for a treatment plan that can provide multiple selectable layouts for applying TT electric fields to a subject.

[0007] The embodiments described herein provide treatment planning for TT fields based on medical images, such as MRI and / or computed tomography (CT) images. Abnormal tissue can be identified and then segmented in the medical images to define a region of interest for application of TT fields to a subject. A three-dimensional (3D) model can then be created, for example, using the medical images and tissue types in the images. The 3D model can then be used to create multiple transducer layouts, two or more of which can be selected and presented to the subject for selection and implementation. The user can then selectively implement the two or more transducer layouts at different times.

[0008] The embodiments described herein further provide practical applications for generating transducer layouts based on a user's medical images. By using medical images, such as MRI and CT images, the conductivity of the subject's tissues is taken into account when generating a transducer layout for treating the subject. Furthermore, multiple generated layouts are provided for selecting a layout based on dose distribution to maximize the TT field dose to tumors and areas at high risk for progression. This results in improved subject response to treatment. Furthermore, multiple layouts can be selectively used, allowing the subject to use a first layout for a first period and then a second layout for a second period. Using multiple layouts can provide the subject with options for transducer positioning, thereby improving user comfort and improving treatment efficacy. For example, the subject may implement a layout that is more comfortable in a particular situation while maintaining a sufficient applied dose to treat the subject. Furthermore, multiple layouts can target the subject's tumor or other structures from different positions, potentially resulting in better coverage. These and other technical improvements may be realized using one or more embodiments described herein.

[0009] 1A and 1B illustrate an exemplary method 100 for TT electric field treatment planning according to one or more embodiments described herein. Method 100 can be implemented by any suitable system or device, such as the systems of FIGS. 21-23 and / or the device of FIG. 25. Method 100 will now be described with reference to example user interfaces of computer-based applications for TT electric field treatment planning, as shown in FIGS. 2-18, although method 100 is not limited thereto. While an order of operations is shown in FIGS. 1A and 1B for illustrative purposes, the timing and order of such operations may be varied, where appropriate, without negating the purpose and advantages of the examples described in detail throughout the remainder of this disclosure.

[0010] At block 102, method 100 begins planning for application of a TT field to a subject (e.g., a patient). For example, as shown in FIG. 2, a new patient can be added using new patient button 202. As shown in FIG. 3, new patient information can be added and associated with the new patient, such as patient information, contact details, physician information, notes, and / or similar elements including combinations thereof and / or multiple combinations thereof. The new patient information can be stored in memory (e.g., database 2220 and / or shared storage 2222 of FIG. 22, memory 2326 of FIG. 23, memory 2503 of FIG. 25, and / or similar elements including combinations thereof and / or multiple combinations thereof).

[0011] At block 104, the method 100 stores a plurality of medical images of the subject in memory. The medical images may include MRI and / or CT medical images. The medical images (e.g., MRI and / or CT medical images) may include voxels. The medical images of the subject may be accessed by searching the memory. For example, as shown in FIG. 4, a search may be performed by patient name in search box 402, or a search for multiple patients may be performed by leaving search box 402 blank. Results are shown in results box 404. As shown in FIG. 5, medical images of the subject may be added using the + button 502. For example, the desired medical images may be loaded using the + button 502, and then the Add Series to Plan button 504 may be selected to confirm the addition of the medical images.

[0012] Optionally, at block 106, method 100 stores the radiation treatment segmentation of the medical image in memory. For example, a radiologist may prescribe a radiation treatment for the patient and store the radiation treatment in memory. According to one or more embodiments described herein, the segmentation of abnormal tissue described herein with reference to block 112 may be performed based on the radiation treatment segmentation, thereby saving computation time.

[0013] At block 108, the method 100 includes identifying one or more of the medical images as anchor medical images. The anchor medical images are used to anchor medical images for creating a three-dimensional (3D) model of the subject. The anchor medical images may be selected, for example, from MRI and / or CT medical images of the subject. For example, as shown in FIG. 6, an anchor button 602 may be selected to set the anchor medical image. In some cases, medical images may be reviewed before setting the anchor medical image. For example, FIG. 6 illustrates an MRI series that can be reviewed and / or set as the anchor medical image. According to one or more embodiments described herein, a relatively high-resolution (e.g., 3 mm or less slice thickness) T1+ gad series MRI may be set as the anchor medical image. As another example, the anchor may be an axial high-resolution T1 MRI with contrast.

[0014] At block 110, the method 100 includes registering a CT medical image (if available) of the subject with an MRI medical image of the subject. Registering the CT medical image with the MRI medical image allows for the generation of a three-dimensional model of the subject based on the MRI medical image and the CT medical image, where such a 3D model is more accurate and / or detailed than a 3D model generated based on the MRI medical image alone. Registering the CT medical image with the MRI medical image includes aligning the images with each other. According to one or more embodiments described herein, after the CT medical image is registered with the MRI medical image, the CT medical image is registered and linked to the MRI medical image. According to one or more embodiments described herein, registering the CT medical image with the MRI medical image includes registering and linking the CT medical image with the MRI medical image. According to one or more embodiments described herein, registering the CT medical image with the MRI medical image is performed automatically upon receiving a user request. According to one or more embodiments, the images can be automatically registered, manually registered, and / or a combination of automatic and manual registration.

[0015] For example, as shown in FIG. 7 , an available CT medical image of the subject can be selected and registered to the MRI medical image using a registration button 702. For example, as shown in FIG. 8 , an automatic registration can be initiated by selecting a perform auto-match button 802. As shown in FIG. 8 , automatic registration can provide features such as showing / hiding multiplanar reconstruction (MPR) (button 804), selecting a layout (button 806), adjusting fusion opacity (slider 808), switching views (button 810), and entering / exiting full-screen mode (button 812). In addition to or instead of automatic registration by selecting the perform auto-match button 802, manual registration can be performed using user-selectable alignment options in a manual matching area 814. User-selectable alignment options for manually registering two medical images may include, for example, one or more of left-to-right translation (RL input field 822), front-to-back translation (PA input field 824), top-to-bottom translation (SI input field 826), x-axis rotation (input field 832), y-axis rotation (input field 834), and z-axis rotation (input field 836).

[0016] At block 112, the method 100 includes segmenting abnormal tissue in the medical image from other tissue types in the medical image. The abnormal tissue can be any undesirable type of tissue, such as a tumor, necrotic tissue, a site of a previous surgery (e.g., a resection cavity), and / or similar elements, including combinations and / or combinations thereof. According to one or more embodiments, the medical image may be manually segmented, automatically segmented, and / or a combination of manual and automatic segmentation. According to one or more embodiments described herein, segmentation of abnormal tissue in the medical image may be based on user input identifying the abnormal tissue in the medical image. For example, as shown in FIG. 9 , an abnormal tissue region 902 is shown. To segment one or more abnormal tissues, such as the abnormal tissue region 902, a user can select a tool tab 904 to begin contouring the structure. Next, the user can select an active structure via a dropdown 906 to identify the type of structure (e.g., a resection cavity) to contour. Optionally, the user can also select an active structure for segmentation by selecting the structure tab 905. In the tools tab 904, the user can select the brush tool button 908 (or any other suitable tool) to perform the segmentation. According to one or more embodiments described herein, an interpolation tool 910 can be used to speed up the segmentation. For example, a structure can be segmented in a first slice of a medical image, one or more subsequent slices of the medical image can be skipped, and then the structure can be segmented again on the next slice following the skipped slice. The interpolation tool 910 can then be used to apply segmentation to the skipped slice, where the interpolated segmentation is performed based on the segmentation performed on slices adjacent to the skipped slice.10, a drop-down menu 1002 can be used to provide a user with a set of tools to select from without toggling to tool tab 904. The tools in drop-down menu 1002 can be used to segment abnormal tissue. For example, a polybrush or paintbrush can be used to outline an abnormal tissue region, such as abnormal tissue region 902. Other tools in drop-down menu 1002 can include an erase tool, an allocate tool, a magnify and margin tool, a cleanup tool, and a split tool.

[0017] At block 114, method 100 includes defining a region of interest (ROI) in the medical image for applying a TT electric field to the subject. The ROI defines where the TT electric field is to be focused. The ROI may be a contiguous region or a discontinuous region (e.g., multiple discontinuous regions). According to one or more embodiments described herein, a volume may be assigned to the region of interest, such as by using the approach described in "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 MT et al., Int J Radiat Oncol Biol Phys. 2019;104(5):1106-1113, as shown in FIG. 11 . In this example, the current structure includes an enhancing tumor 1112 and a resection cavity 1114, as shown in image 1102. Image 1104 illustrates that a proximal boundary zone 1116 (PBZ) (e.g., a 3 mm margin) can be added to the enhancing tumor 1112 and resection cavity 1114. Image 1106 assigns a region of interest to the enhancing tumor 1112 and PBZ 1116 as shown to define a region of interest 1108. The PBZ can be defined around the enhancing tumor and resection cavity, as shown in FIG. 12. For example, a user can select the operations tab 1202, select the source tissue 1204 (e.g., enhancing tumor 1112 in FIG. 11), and use dropdown 1206 to assign the tumor to the gross tumor volume (GTV). In accordance with one or more embodiments described herein, other options can be provided, such as expanding the selection to add margins, surrounding structures with a desired region of interest, and / or the like, including combinations and / or multiple combinations thereof. As shown in FIG. 13, to assign an enhancing tumor to a GTV, the user can select the source 1302 as the enhancing tumor and assign it to the GTV using dropdown 1304.As shown in FIG. 14A, to assign the PBZ and GTV to an ROI, a user can select the origin as "GTV" and "PBZ" using operation 1402, assign the origin as the clinical target volume (CTV) using selection box 1404, and apply the assignment using button 1406. The CTV now includes the GTV and PBZ. Once the CTV has been assigned, as shown in FIG. 14B, the CTV can be reviewed and the user can select create model button 1408 to begin creating a 3D model of the subject.

[0018] Referring to FIG. 1B , at block 116, the method 100 includes creating a 3D model of the subject based on the anchor medical image, the medical image, and the tissue types within the medical image. According to one or more embodiments described herein, a region of interest in the medical image is part of the 3D model. According to one or more embodiments described herein, a three-dimensional conductivity map is part of the 3D model. The three-dimensional conductivity map may indicate electrical conductivity of body tissue. Creating the 3D model includes performing calculations to determine the conductivity of tissues of the subject based on the anchor medical image, the medical image, and the tissue types within the medical image. For example, creating the 3D model includes assigning tissue types and associated conductivities to voxels of the 3D model of the subject. According to one or more embodiments described herein, creating the 3D model of the subject includes automatically segmenting normal tissue within the medical image. According to one or more embodiments described herein, after a 3D model of the subject is created, method 100 may include receiving user approval of a three-dimensional conductivity map associated with the 3D model (e.g., block 1118, described below). The interface of FIG. 15 shows an example of a 3D rendering 1502 of a surface view of the subject, along with various views 1504, 1506, 1508 of the 3D rendering 1502 (e.g., top view, side view, front view). The rendering 1502 and views 1504, 1506, 1508 may be generated using, for example, the 3D model. According to one or more embodiments described herein, automatically segmented normal tissues, such as gray matter, white matter, skull, scalp, and cerebrospinal fluid (CSF), may be automatically added to the subject's views 1504, 1506, 1508. As shown, these body tissue options may be selectively enabled / disabled using option 1510. For example, to review the 3D model, body tissues can be selectively enabled / disabled using options 1510. According to one or more embodiments described herein, the colors of different structures can be changed to improve visualization. The opacity of body tissues can also be changed using opacity slider 1512.According to one or more embodiments described herein, creating the 3D model of the subject in block 116 may be performed using techniques from commonly owned U.S. Patent Application Publication No. 2021 / 0201572, entitled "METHODS, SYSTEMS, AND APPARATUSES FOR IMAGE SEGMENTATION," the contents of which are incorporated herein by reference in their entirety.

[0019] At block 118, method 100 includes receiving user approval of the 3D model, which may include user approval of a three-dimensional conductivity map associated with the 3D model. For example, referring to FIG. 15, once a user is satisfied with the three-dimensional conductivity map associated with the 3D rendering 1502, the user may select button 1514 to calculate one or more transducer array layouts (TALs). Once selected, the computer system begins calculating various transducer array layouts for the subject at block 120 to identify one or more TALs that deliver the desired dose to the clinical target volume.

[0020] At block 120, the method 100 includes generating a plurality of transducer array layouts for applying a TT electric field to the subject based on a 3D model of the subject. The transducer array layout defines relative locations on the subject for placing the transducer arrays. According to one or more embodiments described herein, the plurality of transducer layouts includes four locations on the subject for placing the four respective transducer arrays, such as on the subject's head or torso. According to one or more embodiments described herein, each of the transducer arrays includes a plurality of electrode elements. The electrode elements may be of any suitable type or material. For example, at least one electrode element may include a ceramic dielectric layer, a polymer film, and / or similar elements, including combinations and / or combinations thereof. The generation of the plurality of TALs may be performed after receiving a user selection from a user interface to initiate the generation. According to one or more embodiments described herein, the generation of the multiple transducer array layout in block 120 may be performed using techniques from commonly owned U.S. Patent Application Publication No. 2021 / 0201572, entitled "METHODS, SYSTEMS, AND APPARATUSES FOR IMAGE SEGMENTATION," the contents of which are incorporated herein by reference in their entirety.

[0021] According to one or more embodiments described herein, computational warnings can be provided via a user interface during generation of a multiple transducer layout. The computational warnings can indicate at least one of the following: that the ROI in the medical image does not contain a minimum number of gray and / or white matter voxels; that the ROI in the medical image does not contain a minimum number of enhancing tumor voxels; that only regions of interest having gray and / or white matter voxels or enhancing tumor voxels are presented; and / or the like, including combinations thereof and / or multiple combinations thereof. If one or more of these warnings are received, the computer system can provide the user with an opportunity to resolve the issue. For example, to address a warning that the ROI in the medical image does not contain a minimum number of gray and / or white matter voxels, the user may need to modify the size of the ROI to include additional gray and / or white matter voxels. For example, to address a warning that the ROI in the medical image does not contain a minimum number of enhancing tumor voxels, the user may need to modify the size of the ROI to include additional enhancing tumor voxels. For example, to address a warning that only regions of interest with gray and / or white matter voxels or regions of interest with enhancing tumor voxels are presented, the user may need to modify the size of the ROI so that voxels not within the ROI are presented.

[0022] At block 122, method 100 includes selecting at least two of the transducer array layouts as recommended transducer array layouts to present to the user. According to one or more embodiments described herein, at least one of the recommended transducer layouts has the highest dose of tumor treatment field delivered to the ROI, delivered to the tumor progression region, and / or similar elements, including combinations thereof and / or multiple combinations thereof. According to one or more embodiments described herein, at least one of the recommended transducer layouts is a transducer layout that is in a translated or rotated position compared to the transducer layout with the highest dose of tumor treatment field delivered to the ROI. According to one or more embodiments described herein, at least three of the recommended transducer layouts have the three highest doses of tumor treatment field delivered to the ROI.

[0023] At block 124, the method 100 includes presenting recommended transducer array layouts. For example, the method 100 may include presenting at least four recommended transducer array layouts, although in other examples, more or fewer transducer array layouts may be presented. An example of one of the recommended transducer layouts is shown in FIG. 16, which is described in further detail herein. According to one or more embodiments described herein, presenting the recommended transducer layouts includes presenting information about the recommended transducer layouts via a user interface. The information may include one or more of: a dose of the tumor treatment field delivered to the ROI for each of the recommended transducer layouts; medical image slices overlaid with the dose of the tumor treatment field for at least one of the recommended transducer layouts; a two-dimensional graph comparing the percentage volume of the ROI and the percentage dose of the tumor treatment field for at least one of the recommended transducer layouts; an image of the subject depicting the positions of the electrode elements for at least one of the recommended transducer layouts; a two-dimensional graph depicting the cumulative dose of the tumor treatment field across the ROI for at least one of the recommended transducer layouts; a two-dimensional graph depicting the dose of the tumor treatment field across the ROI for at least one of the recommended transducer layouts; a percentage of overlap between electrode elements of two recommended transducer layouts; a percentage of overlap between adhesive portions of two recommended transducer layouts; and / or the like, including combinations thereof and / or multiple combinations thereof.

[0024] Information regarding one or more of the multiple recommended transducer array layouts can be presented, for example, via the user interface of FIG. 16 . In this example, three TALs are shown in primary layout table 1602 along with the dose distribution for each TAL. In other examples, additional TALs can be shown as alternative layouts. Further information regarding the TALs is shown in table 1606 and graph 1608. For example, table 1606 includes multiple TALs along with CTV and whole-brain information. Graph 1608 plots relative local minimum power density (LMiPD) (e.g., a measure of TT electric field dose) as a percentage versus the volume of the region of interest. In some examples, multiple TALs can be selectively enabled and shown simultaneously in graph 1608 for comparison purposes.

[0025] In Figure 17, another user interface shows one of the recommended TALs positioned on a 3D rendering 1702 of a surface view of the subject. The 3D rendering 1702 shows the external surface of the subject's head with a transducer array disposed on the external surface of the subject's head. The rendering 1702 can be generated using, for example, a 3D model. The interface of Figure 17 also shows a graph 1704 that plots the relative LMiPD as a percentage against the volume of the region of interest for the two selected TALs.

[0026] At block 126, method 100 includes receiving a user selection of at least one recommended transducer array layout. For example, having two or more transducer array layouts allows the subject to change the transducer array layout, which can improve the subject's comfort. According to one or more embodiments described herein, a user can select a primary transducer array layout and an alternate transducer array layout. To make a selection, the user can first accept the first layout as the primary layout. Then, the user can secondly review and evaluate the alternate layouts and select the alternate layout as the second layout. For example, the user can select one of the TALs (e.g., primary) for use for a certain period of time. The user can select another (e.g., alternate) layout of the TALs for use for another period of time, for example, after a certain period of time has elapsed. The TAL can be authorized by entering a username and password in a pop-up window 1802, as shown in the user interface of FIG. 18 .

[0027] At block 128, the method 100 includes providing a report of at least one selected recommended transducer layout. According to one or more embodiments described herein, the report can show the position of the transducer array of the selected recommended transducer layout on the subject in multiple views. According to one or more embodiments described herein, the report can provide the dose of the tumor treatment field. For example, it should be understood that different reports can be provided depending on the expected target of the report (e.g., a first report type for the subject, a second report type for inclusion in the subject's medical record). FIG. 19 illustrates a user interface for creating a report. In this example, a text box 1902 can be used to add comments, a 3D head rendering 1904 can be shown and rotated as needed, and a create report button 1906 can be used to create the report. FIG. 20 illustrates a user interface for editing a report. In this example, the user can edit the report using the edit button 2002, download or print the report using the download / print button 2004, anonymize the report using the anonymize button 2006, generate different report types (e.g., full report, patient report, and / or similar elements including combinations thereof and / or multiple combinations thereof) using the type dropdown 2008, review different versions of the report using the version dropdown 2010, return to patient management using the patient management button 2012, and return to the welcome screen using the back button 2014.

[0028] 21 illustrates an example system for TT electric field treatment planning, according to one or more embodiments described herein. In this example, a treatment provider network 2102 communicates directly or indirectly with a hospital network 2104. The treatment provider network 2102 may, for example, implement at least a portion of the method 100 of FIGS. 1A and 1B. The hospital network 2104 may facilitate data transmission and reception between different entities, such as the treatment provider network 2102, a physician 2106, and a picture archiving and communication system (PACS) 2108.

[0029] The treatment provider network 2102 can communicate with the hospital network 2104 using a secured communication protocol, such as Hypertext Transfer Protocol (HTTP) secured by Web Sockets over an encrypted TLS connection (WSS), Digital Imaging and Communications in Medicine (DICOM) protocol, and / or the like, including combinations and / or multiple combinations thereof. A physician 2106 can access the hospital network 2104 and can initiate a session for treatment planning of a subject's TT field using the treatment provider network 2102. The treatment provider network 2102 can access medical images of the subject, which can be stored in one or more PACS 2108. Using the medical images, the treatment provider network 2102 can generate a 3D model of the subject and can generate a transducer array layout for applying the TT field to the subject, as described herein.

[0030] FIG. 22 illustrates an example system architecture for TT electric field treatment planning, according to one or more embodiments described herein. In this example, the treatment provider network 2102 is shown in more detail. The architecture of FIG. 22 includes a treatment provider backend 2202 and a treatment provider frontend 2204. The backend 2202 acts as a server for one or more client processing systems (e.g., laptops, smartphones, etc.) that act as the frontend 2204. The backend 2202 runs in the background and is responsible for backend tasks, while the client processing systems use a browser-based user interface to perform frontend tasks, such as handling the user interface, presenting information to the user (e.g., 3D models, TALs, and / or the like, including combinations and / or combinations thereof), and receiving information from the user (e.g., selection of TALs and / or the like).

[0031] The backend 2202 and the frontend 2204 can communicate over a secure protocol, such as Secure HTTP (HTTPS) with Secure Sockets Layer (SSL) Web Services (SWS). The backend 2202 may use an app gateway 2206 to support and enforce secure communications between the frontend 2204 and the backend 2202.

[0032] The backend 2202 also supports communication with a hospital PACS system 2208, for example, via the DICOM protocol. The hospital PACS system 2208 can provide medical images to subjects. The backend 2202 may further support communication with a hospital active directory 2210, for example, via the Lightweight Directory Access Protocol (LDAP) protocol, to provide user authentication services.

[0033] The backend 2202 supports one or more services 2212. The services 2212 may include, for example, a cybersecurity service 2214, an algorithm service 2216, and a solver service 2218. Other examples may include other services 2212.

[0034] Cybersecurity services 2214 may provide, for example, user management (such as user authentication), secure system communications, user session management, patient information security, and / or the like, including combinations and / or multiple combinations thereof.

[0035] The algorithmic services 2216 may include, for example, conversion of DICOM series to system convention format, enhancement of images imported into the backend 2202, registration of secondary series to anchor series, tissue segmentation, definition of ROI, placement of transducer arrays in the 3D model, consideration of head avoidance areas during transducer placement, feasibility TAL calculations, analysis of solver output, LMiFI statistics and local minimum field strength (LMiFI) values ​​for regions of interest in the model, and / or similar elements including combinations and / or multiples thereof.

[0036] The solver service 2218 may provide, for example, electric field calculations based on 3D tissue segmentation of each TAL in the 3D model, and / or the like, including combinations and / or multiples thereof. Segmentation, tissue properties, and transducer array position information may be transferred from the algorithm service 2216 to the solver service 2218, which may use this information to provide an electric field map for the 3D model. A TAL may be a combination of two separate transducer array channels. The electric field map can be used to rank the TAL according to defined regions of interest in the 3D model of the subject.

[0037] The backend 2202 may also include various databases 2220 and shared storage 2222 for storing data used by the services 2212, 2214, 2216, 2218, including data received from the frontend 2204, the hospital PACS system 2208, and / or the hospital active directory 2210.

[0038] FIG. 9 shows an example of a device for applying an AC electric field (e.g., a TT electric field) to a subject's body. This system may be used to treat a target region of a subject's body with the AC electric field. In one example, the target region may be within the subject's brain, and the AC electric field may be delivered to the subject's body via two pairs of transducer arrays (e.g., four transducers 2400 in FIG. 24) positioned on the subject's head. In another example, the target region is within the subject's torso, and the AC electric field is delivered to the subject's body via two pairs of transducer arrays positioned on at least one of the subject's chest, abdomen, or one or both thighs. Other transducer array placements on the subject's body are also possible.

[0039] The illustrative device 2300 shows an example system having four transducers (or "transducer arrays") 2300A-D. Each transducer 2300A-D may include a substantially planar electrode element 2302A-D disposed on and electrically and physically connected (e.g., via conductive traces 2306A-D) to a substrate 2304A-D. The substrate 2304A-D may include, for example, fabric, foam, flexible plastic, and / or conductive medical gel. Two transducers (e.g., 2300A and 2300D) may be a first transducer pair configured to apply an alternating electric field to a target region of the subject's body. The other two transducers (e.g., 2300B and 2300C) may be a second transducer pair similarly configured to apply an alternating electric field to a target region.

[0040] The transducers 2300A-D may be coupled to an AC voltage generator 2320, and the system may further include a controller 2310 communicatively coupled to the AC voltage generator 2320. The controller 2310 may include a computer including one or more processors 2324 and a memory 2326 accessible by the one or more processors. The memory 2326 may store instructions that, when executed by the one or more processors, control the AC voltage generator 2320 to induce an AC electric field between the transducer pairs 2300A-D according to one or more voltage waveforms and / or cause the computer to perform one or more methods disclosed herein. The controller 2310 may monitor operations performed by the AC voltage generator 2320 (e.g., via the processor(s) 2324). One or more sensor(s) 2328 may be coupled to the controller 2310 to provide measurements or other information to the controller.

[0041] The electrode elements 2302A-D may be capacitively coupled. In one example, the electrode elements 2302A-D are ceramic electrode elements coupled to one another via conductive traces 2306A-D. The ceramic electrode elements may be circular or non-circular when viewed perpendicular to their plane. In other embodiments, the electrode elements are not capacitively coupled, and there is no dielectric material (such as a ceramic or high dielectric polymer layer) associated with the electrode elements.

[0042] The structure of the transducers 2300A-D may take a variety of forms. The transducers may be fixed to the subject's body, attached to clothing covering the subject's body, or incorporated into the body. The transducers may comprise any suitable material for attaching the transducer to the subject's body. For example, suitable materials may include fabric, foam, flexible plastic, and / or conductive medical gel. The transducers may be conductive or non-conductive.

[0043] The transducer may include any desired number of electrode elements. The electrode elements may be of various shapes, sizes, and materials. Any structure for implementing a transducer (or electric field generator) for use with embodiments of the present invention may be used as long as it (a) delivers a TT electric field to the subject's body and (b) is capable of being positioned as specified herein. In certain embodiments, at least one electrode element of the first, second, third, or fourth transducer may include at least one ceramic disk adapted to generate an AC electric field. In a non-limiting embodiment, at least one electrode element of the first, second, third, or fourth transducer includes a polymer film adapted to generate an AC electric field.

[0044] FIG. 25 illustrates an example of a computer device for use in embodiments of the present invention. As an example, device 2500 may be a computer for performing certain inventive techniques disclosed herein, such as selecting a transducer position for delivering a TT field to a subject. For example, blocks 102-128 of FIGS. 1A and 1B may be performed by a computer such as device 2500. As an example, device 2500 may be a controller device for applying an alternating electric field (e.g., a TT field) having a modulated electric field according to embodiments of the present invention. Device 2500 may be used as controller 2310 of FIG. 23. Device 2500 may include one or more processors 2502, memory 2503, one or more input devices, and one or more output devices 2505.

[0045] In one example, based on the input 2501, one or more processors 2502 may generate control signals to control a voltage generator to implement embodiments of the present disclosure. In one example, the input 2501 is a user input. In another example, the input 2501 may be from another computer in communication with the apparatus 2500. The input 2501 may be received in combination with one or more input devices (not shown) of the apparatus 2500.

[0046] The memory 2503 may be accessible by one or more processors 2502 (e.g., via a link) such that the one or more processors 2502 can read information from and write information to the memory 2503. The memory 2503 may store instructions that, when executed by the one or more processors 2502, implement one or more embodiments of the present disclosure.

[0047] One or more output devices 2505 may provide status of the operation of the invention, such as transducer array selection, generated voltages, and other operating information. The output device 2505 may provide visualization data according to certain embodiments of the invention.

[0048] Apparatus 2500 may be an apparatus for generating at least one transducer layout for delivering a tumor-treating electric field to a subject, the apparatus including one or more processors (such as one or more processors 2502) and memory accessible by the one or more processors (such as memory 2503), which, when executed by the one or more processors, stores instructions that cause the apparatus to perform one or more methods described herein.

[0049] Memory 2503 may be a non-transitory processor-readable medium containing a set of instructions thereon for generating at least one transducer layout for delivering a tumor-treating electric field to a subject, the instructions, when executed by a processor (such as processor 2502), causing the processor to perform one or more methods described herein. Illustrative Embodiments

[0050] The present invention includes other exemplary embodiments ("embodiments") as follows.

[0051] Embodiment 1. A computer-implemented method for generating at least one transducer layout for delivering a tumor treating electric field to a subject, comprising: storing in a memory a plurality of medical images of the subject, the medical images including magnetic resonance imaging (MRI) medical images and computed tomography (CT) medical images, the medical images including voxels; identifying one of the medical images as an anchor medical image, the anchor medical image being used to anchor the medical image to create a three-dimensional model of the subject; registering the CT medical image with the MRI medical image; separating abnormal tissue in the medical image from other tissue types in the medical image; and identifying a region of interest (e.g., a region of interest 100) in the medical image for applying a tumor treating electric field to the subject. generating a plurality of transducer layouts for applying tumor treating electric fields to the subject based on the three-dimensional model of the subject; selecting at least two of the transducer layouts as recommended transducer layouts; presenting the recommended transducer layouts; receiving a user selection of at least one recommended transducer layout; and providing a report regarding the at least one selected recommended transducer layout. Embodiment 1A: The computer-implemented method of embodiment 1, wherein the anchor medical image is a T1-weighted MRI slice.

[0052] Embodiment 2: The computer-implemented method of embodiment 1, wherein the CT medical image is registered and linked with the MRI medical image after the CT medical image is registered with the MRI medical image.

[0053] Embodiment 2A: The computer-implemented method of embodiment 1, wherein registering the CT medical image with the MRI medical image comprises co-registering and linking the CT medical image and the MRI medical image.

[0054] Embodiment 2B: The computer-implemented method of embodiment 1, wherein registering the CT medical image with the MRI medical image is performed automatically upon receiving a user request.

[0055] Embodiment 3: The computer-implemented method of embodiment 1, wherein segmenting the abnormal tissue is based on user input identifying abnormal tissue in the medical image.

[0056] Embodiment 4: The computer-implemented method of embodiment 1, further comprising storing a radiotherapy segmentation of the medical image in a memory, wherein the segmentation of the abnormal tissue is based on the radiotherapy segmentation.

[0057] Embodiment 5: The computer-implemented method of embodiment 1, wherein the abnormal tissue comprises at least one of a tumor, necrotic tissue, or a site of previous surgery.

[0058] Embodiment 5A: The computer-implemented method of embodiment 5, wherein the previous surgical site is a resection cavity.

[0059] Embodiment 6: The computer-implemented method of embodiment 1, wherein defining the ROI in the medical image includes defining a gross tumor volume (GTV) and a clinical target volume (CTV) in the medical image.

[0060] Embodiment 7: The computer-implemented method of embodiment 1, wherein defining the ROI in the medical image includes defining a proximal boundary zone (PBZ) in the medical image.

[0061] Embodiment 7A: The computer-implemented method of embodiment 1, wherein defining the ROI in the medical image includes adding a margin of approximately 3 mm to enlarge the ROI.

[0062] Embodiment 8: The computer-implemented method of embodiment 1, wherein defining the ROI in the medical image includes defining a gross tumor volume (GTV) and a proximal border zone (PBZ) in the medical image, and defining a clinical target volume (CTV) in the medical image by combining the GTV and the PBZ.

[0063] Embodiment 9: The computer-implemented method of embodiment 1, wherein creating the three-dimensional model of the subject includes assigning tissue types and associated electrical conductivities to voxels of the three-dimensional model of the subject.

[0064] Embodiment 9A: The computer-implemented method of embodiment 1, wherein creating the three-dimensional model of the subject includes automatically segmenting normal tissue in the medical image.

[0065] Embodiment 9B: The computer-implemented method of embodiment 1, further comprising, after the three-dimensional model of the subject is created, receiving user approval for a three-dimensional conductivity map associated with the three-dimensional model.

[0066] Embodiment 10: The computer-implemented method of embodiment 1, wherein the multiple transducer layout includes four locations on the subject for placing four individual transducer arrays.

[0067] Embodiment 11: The computer-implemented method of embodiment 10, wherein each of the transducer arrays includes a plurality of electrode elements, and at least one electrode element includes a ceramic dielectric layer.

[0068] Embodiment 12: The computer-implemented method of embodiment 10, wherein each of the transducer arrays includes a plurality of electrode elements, and at least one electrode element includes a polymer film.

[0069] Embodiment 12A: The computer-implemented method of embodiment 10, wherein the four positions of the subject are on the subject's head.

[0070] Embodiment 12B: The computer-implemented method of embodiment 10, wherein the four locations of the subject are on the subject's torso.

[0071] Embodiment 12C: The computer-implemented method of embodiment 1, wherein generating the plurality of transducer layouts begins after receiving a user selection from a user interface to initiate the generation.

[0072] Embodiment 13: The computer-implemented method of embodiment 1, wherein when generating the multiple transducer layout, a computational warning is provided via a user interface, the computational warning indicating at least one of: that the ROI of the medical image does not contain a minimum number of gray and / or white matter voxels; that the ROI of the medical image does not contain a minimum number of enhancing tumor voxels; or that only regions of interest having gray and / or white matter voxels or enhancing tumor voxels are presented.

[0073] Embodiment 14: The computer-implemented method of embodiment 1, wherein at least one of the recommended transducer layouts has a tumor treatment electric field with a maximum dose delivered to the ROI.

[0074] Embodiment 15: The computer-implemented method of embodiment 1, wherein at least one of the recommended transducer layouts is a transducer layout that is in a translated or rotated position compared to the transducer layout that delivers the highest dose of tumor treating electric field to the ROI.

[0075] Embodiment 15A: The computer-implemented method of embodiment 1, wherein at least one of the recommended transducer layouts has a tumor treatment electric field with a maximum dose delivered to a tumor progression region.

[0076] Embodiment 15B: The computer-implemented method of embodiment 1, wherein at least three of the recommended transducer layouts have three maximum doses of tumor treatment electric fields delivered to the ROI.

[0077] Embodiment 16: The computer-implemented method of embodiment 1, wherein presenting information about the recommended transducer layouts includes presenting information about the recommended transducer layouts via a user interface, the information being presented as at least one of: a tumor treatment field dose delivered to the ROI for each of the recommended transducer layouts; medical image slices with overlaid tumor treatment field doses for at least one recommended transducer layout; a two-dimensional graph comparing percentage volume of the ROI and percentage dose of the tumor treatment field for at least one recommended transducer layout; an image of the subject showing positions of electrode elements for at least one recommended transducer layout; a two-dimensional graph showing cumulative tumor treatment field dose across the ROI for at least one recommended transducer layout; a two-dimensional graph showing tumor treatment field dose across the ROI for at least one recommended transducer layout; an electrode element overlap rate between two recommended transducer layouts; or an adhesive overlap rate in two recommended transducer layouts.

[0078] Embodiment 16A: The computer-implemented method of embodiment 1, wherein presenting the recommended transducer layouts includes presenting at least four recommended transducer layouts.

[0079] Embodiment 17: The computer-implemented method of embodiment 1, wherein receiving a user selection of at least one recommended transducer layout includes receiving a selection of a primary transducer layout and an alternative transducer layout.

[0080] Embodiment 18: The computer-implemented method of embodiment 1, wherein the report of at least one selected recommended transducer layout displays the position of the transducer array of the selected recommended transducer layout on the subject in multiple views.

[0081] Embodiment 18A: The computer-implemented method of embodiment 1, wherein the report of at least one selected recommended transducer layout provides a dose of a tumor treatment field.

[0082] Embodiment 19: An apparatus for generating at least one transducer layout for delivering tumor-treating electric fields to a subject, comprising: one or more processors; and a memory accessible to the one or more processors, the memory storing instructions that, when executed by the one or more processors, cause the apparatus to store in the memory a plurality of medical images of the subject, the medical images including magnetic resonance imaging (MRI) medical images and computed tomography (CT) medical images, the medical images including voxels; identifying one of the medical images as an anchor medical image, the anchor medical image being used to anchor the medical image to create a three-dimensional model of the subject; registering the CT medical image with the MRI medical image; and separating abnormal tissue in the medical image from other tissue types in the medical image. generating a plurality of transducer layouts for applying a tumor treatment electric field to the subject based on the three-dimensional model of the subject; selecting at least two of the transducer layouts as recommended transducer layouts; presenting the recommended transducer layouts; receiving a user selection of at least one recommended transducer layout; and providing a report regarding the at least one selected recommended transducer layout.

[0083] Embodiment 20: A non-transitory processor-readable medium having recorded thereon a set of instructions for generating at least one transducer layout for delivering tumor-treating electric fields to a subject, the instructions, when executed by a processor, causing the processor to store in the memory a plurality of medical images of the subject, the medical images including magnetic resonance imaging (MRI) medical images and computed tomography (CT) medical images, the medical images including voxels; identifying one of the medical images as an anchor medical image, the anchor medical image being used to anchor the medical image to create a three-dimensional model of the subject; registering the CT medical image with the MRI medical image; separating abnormal tissue in the medical image from other tissue types in the medical image; and registering the CT medical image with the MRI medical image. and generating a plurality of transducer layouts for applying a tumor treatment electric field to the subject based on the three-dimensional model of the subject; selecting at least two of the transducer layouts as recommended transducer layouts; presenting the recommended transducer layouts; receiving a user selection of at least one recommended transducer layout; and providing a report regarding the at least one selected recommended transducer layout.

[0084] Optionally, for each embodiment described herein, the voltage generating component supplies the transducer with an electrical signal at a frequency in the range of about 50 kHz to about 1 MHz and having an alternating current waveform suitable for providing TT electric field therapy to the subject's body.

[0085] Embodiments described under any heading or in any portion of this disclosure may be combined with embodiments described under the same heading or in another portion of this disclosure, unless otherwise stated herein or clearly contradicted by context. For example, and not by way of limitation, embodiments described in dependent claim form with respect to a given embodiment (e.g., a given embodiment described in independent claim form) may be combined with other embodiments (written in independent or dependent claim form).

[0086] Numerous modifications, variations, and variations to the described embodiments are possible without departing from the scope of the invention as defined in the claims. The present invention is not intended to be limited to the described embodiments, but rather to have the full scope defined by the language of the following claims and their equivalents.

Claims

1. 1. A computer-implemented method for generating at least one transducer layout for delivering a tumor treating electric field to a subject, the method comprising: storing a plurality of medical images of a subject in a memory, the medical images including magnetic resonance imaging (MRI) medical images and computed tomography (CT) medical images, the medical images including voxels; identifying one of the medical images as an anchor medical image, the anchor medical image being used to anchor the medical image to create a three-dimensional model of the subject; registering the CT medical image with the MRI medical image; Separating abnormal tissue in the medical image from other tissue types in the medical image; Defining a region of interest (ROI) within the medical image for applying a tumor treating electric field to the subject; creating the three-dimensional model of the subject based on the anchor medical image, the medical image, and tissue types within the medical image, wherein the region of interest within the medical image is part of the three-dimensional model; generating a plurality of transducer layouts for applying tumor treating electric fields to the subject based on the three-dimensional model of the subject; selecting at least two of the transducer layouts as recommended transducer layouts; submitting the recommended transducer layout; receiving a user selection of at least one recommended transducer layout; and providing a report regarding the at least one selected recommended transducer layout.

2. The method of claim 1 , wherein the CT medical image is registered with the MRI medical image, and then the CT medical image is aligned and linked with the MRI medical image.

3. The method of claim 1 , wherein segmenting the abnormal tissue is based on user input identifying abnormal tissue in the medical image.

4. The method of claim 1 , wherein the abnormal tissue comprises at least one of a tumor, necrotic tissue, or a site of previous surgery.

5. defining the ROI in the medical image includes defining a gross tumor volume (GTV) and a clinical target volume (CTV) in the medical image; or The method of claim 1 , wherein defining the ROI in the medical image comprises defining a proximal border zone (PBZ) in the medical image.

6. 2. The method of claim 1, wherein defining the ROI in the medical image comprises: defining a gross tumor volume (GTV) and a proximal border zone (PBZ) in the medical image; and defining a clinical target volume (CTV) in the medical image by combining the GTV and the PBZ.

7. The method of claim 1 , wherein creating the three-dimensional model of the subject comprises assigning a tissue type and associated conductivity to voxels of the three-dimensional model of the subject.

8. The method of claim 1 , wherein the multiple transducer layout includes four locations on the subject for placing four separate transducer arrays.

9. The method of claim 10 , wherein each of the transducer arrays includes a plurality of electrode elements, and at least one electrode element includes a ceramic dielectric layer or a polymer film.

10. providing a calculation warning via a user interface when generating the plurality of transducer layouts, the calculation warning comprising: the ROI of the medical image does not contain a minimum number of grey and / or white matter voxels; the ROI of the medical image does not contain a minimum number of enhancing tumor voxels; or 10. The method of claim 1, wherein at least one of: only regions of interest having grey and / or white matter voxels or enhancing tumor voxels are presented.

11. At least one of the recommended transducer layouts has a tumor treatment field with a maximum dose delivered to the ROI; or 2. The method of claim 1, wherein at least one of the recommended transducer layouts is a transducer layout that is in a translated or rotated position compared to a transducer layout that delivers the highest dose of tumor treating electric field to the ROI.

12. Presenting the recommended transducer layout includes presenting information about the recommended transducer layout via a user interface, the information comprising: the dose of tumor treatment field delivered to the ROI for each of the recommended transducer layouts; medical image slices overlaid with tumor treatment field doses for at least one recommended transducer layout; a two-dimensional graph comparing the percentage volume of the ROI and the percentage dose of the tumor treatment field for at least one recommended transducer layout; an image of the subject showing the positions of electrode elements for at least one recommended transducer layout; a two-dimensional graph showing cumulative dose of tumor treatment fields across the ROI for at least one recommended transducer layout; a two-dimensional graph showing tumor treatment field dose across the ROI for at least one recommended transducer layout; The overlap rate of electrode elements in the two recommended transducer layouts, or and a percentage of overlap between bonded portions in the two recommended transducer layouts.

13. The method of claim 1 , wherein the report of at least one selected recommended transducer layout displays the position of the transducer array of the selected recommended transducer layout on the subject in multiple views.

14. 1. An apparatus for generating at least one transducer layout for delivering a tumor-treating electric field to a subject, the apparatus comprising: one or more processors; and a memory accessible by the one or more processors, the memory, when executed by the one or more processors, causing the apparatus to: storing a plurality of medical images of the subject in the memory, the medical images including magnetic resonance imaging (MRI) medical images and computed tomography (CT) medical images, the medical images including voxels; identifying one of the medical images as an anchor medical image, the anchor medical image being used to anchor the medical image to create a three-dimensional model of the subject; registering the CT medical image with the MRI medical image; Separating abnormal tissue in the medical image from other tissue types in the medical image; Defining a region of interest (ROI) within the medical image for applying a tumor treating electric field to the subject; creating the three-dimensional model of the subject based on the anchor medical image, the medical image, and tissue types within the medical image, wherein the region of interest within the medical image is part of the three-dimensional model; generating a plurality of transducer layouts for applying tumor treating electric fields to the subject based on the three-dimensional model of the subject; selecting at least two of the transducer layouts as recommended transducer layouts; submitting the recommended transducer layout; receiving a user selection of at least one recommended transducer layout; providing a report regarding the at least one selected recommended transducer layout; The device stores instructions for executing the above.

15. 1. A non-transitory processor-readable medium having a set of instructions thereon for generating at least one transducer layout for delivering a tumor-treating electric field to a subject, the instructions, when executed by a processor, causing the processor to: storing a plurality of medical images of the subject in a memory, the medical images including magnetic resonance imaging (MRI) medical images and computed tomography (CT) medical images, the medical images including voxels; identifying one of the medical images as an anchor medical image, the anchor medical image being used to anchor the medical image to create a three-dimensional model of the subject; registering the CT medical image with the MRI medical image; Separating abnormal tissue in the medical image from other tissue types in the medical image; Defining a region of interest (ROI) within the medical image for applying a tumor treating electric field to the subject; creating the three-dimensional model of the subject based on the anchor medical image, the medical image, and tissue types within the medical image, wherein the region of interest within the medical image is part of the three-dimensional model; generating a plurality of transducer layouts for applying tumor treating electric fields to the subject based on the three-dimensional model of the subject; selecting at least two of the transducer layouts as recommended transducer layouts; submitting the recommended transducer layout; receiving a user selection of at least one recommended transducer layout; providing a report regarding the at least one selected recommended transducer layout.

Images