Systems and methods for determining performance of a breast compression paddle

Abstract

A method for determining a performance characteristic of a breast compression paddle used in a breast imaging system includes receiving a force application signal, wherein the force application signal is associated with a compression force applied by the breast imaging system to a patient's breast using a breast compression paddle. The method applies the force application signal to an algorithm to obtain a reduction value. The reduction value is subtracted from a known paddle performance value of the breast compression paddle to obtain an updated paddle performance value for the breast compression paddle.

Description

[0001] CROSS-REFERENCE TO RELATED APPLICATIONS

[0002] This application was filed as a PCT international patent application on August 26, 2021, and claims priority to and the benefit of U.S. Provisional Patent Application No. 63 / 078,360 filed on September 15, 2020, which is incorporated herein by reference in its entirety. Background Art

[0003] Compression during mammography and tomosynthesis imaging serves multiple purposes. For example, it: (1) thins the breast in the direction of the x-ray flux, thereby reducing the patient's radiation exposure from the level required to image thicker portions of the uncompressed breast; (2) makes the breast more uniform in thickness in the direction of the x-ray flux, thereby facilitating more uniform exposure across the image plane across the entire breast image; (3) immobilizes the breast during x-ray exposure, thereby reducing image blur; and (4) brings breast tissue out of the chest wall into the imaging exposure field, thereby allowing more tissue to be imaged. When the breast is compressed, the technician typically manipulates the breast to properly position the breast and counteract the tendency of the compression to push breast tissue toward the chest wall and out of the image field. Rigid paddles or paddles using thick, compressed foam elements can be used during breast imaging procedures. Summary of the Invention

[0004] In one aspect, the technology relates to a method for determining a performance characteristic of a breast compression paddle used in a breast imaging system, the method comprising: receiving a force application signal, wherein the force application signal is associated with a compressive force applied to a patient's breast by the breast imaging system with a breast compression paddle; applying the force application signal to an algorithm to obtain a reduction value; and subtracting the reduction value from a known paddle performance value of the breast compression paddle to obtain an updated paddle performance value for the breast compression paddle. In one example, the method further comprises transmitting a result signal corresponding to the updated paddle performance value. In another example, the result signal is transmitted to a storage device disposed on the paddle. In yet another example, the result signal is transmitted to a storage device remote from the breast imaging system and the breast compression paddle. In yet another example, the algorithm includes a baseline performance value corresponding to the known force.

[0005] In another example of the above aspect, the algorithm further includes dividing the baseline performance value by an applied performance value associated with the force application signal to obtain a reduction value. In the example, after a first application of the force application signal to the algorithm and a first subtraction of the reduction value from the known paddle performance value, the updated paddle performance value includes the known paddle performance value for a second application of the force application signal to the algorithm.

[0006] In another aspect, the technology relates to a system for determining performance characteristics of a breast compression paddle used in a breast imaging system, the system comprising: a breast support platform for supporting a breast; a tubehead rotatable relative to the breast support platform; an X-ray source disposed in the tubehead; an X-ray detector disposed in the breast support platform; a compression paddle disposed between the X-ray source and the X-ray detector and configured to compress the breast against the breast support platform; a controller for controlling the X-ray source; at least one processor communicatively coupled to the controller; and a memory communicatively coupled to the at least one processor, the memory comprising computer-executable instructions that, when executed by the processor, perform a method comprising: receiving a force application signal, wherein the force application signal is associated with applying a compressive force to the breast between the breast support platform and the compression paddle; and calculating a performance impact on the compression paddle based at least in part on the force application signal. In one example, the compression paddle comprises a data storage device. In another example, the data storage device comprises an RFID chip. In yet another example, the data storage device is communicatively coupled to the at least one processor. In yet another example, the system further comprises sending a performance impact signal to the data storage device of the compression paddle, wherein the performance impact signal comprises a calculation of a number of paddle compressions remaining for the compression paddle.

[0007] In another example of the above aspect, the system further includes sending a service recommendation signal. In an example, at least one processor and memory are deployed remotely from the controller. In another example, at least one processor and memory are integrated with the controller.

[0008] In another aspect, the technology relates to a method for determining a performance characteristic of a breast compression paddle used in a breast imaging system, the method comprising: reading a known paddle performance value from a data storage unit disposed on a breast compression paddle; applying a force to a breast with a breast compression paddle while the breast is supported on a breast support platform; recording the force applied to the breast with the breast compression paddle; applying the applied force to an algorithm to obtain a reduction value; calculating an updated paddle performance value for the breast compression paddle, wherein the updated paddle performance value is based at least in part on the known paddle performance value and the reduction value; and writing the updated paddle performance value to a data storage unit disposed on the breast compression paddle. In one example, the known paddle performance value is based at least in part on a compression paddle material. In another example, applying the applied force to the algorithm comprises dividing a baseline performance value at the known force by the applied performance value associated with the applied force. In yet another example, calculating the updated paddle performance value comprises subtracting the reduction value from the known paddle performance value. In yet another example, writing the updated paddle performance value to the data storage unit comprises sending a signal to the data storage unit. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1A is a schematic diagram of an exemplary imaging system.

[0010] Figure 1B yes Figure 1A A perspective view of the imaging system.

[0011] Figures 2A-2C An example of a flat breast compression paddle is depicted.

[0012] Figures 3A-3C An example of a contoured breast compression paddle is depicted.

[0013] Figure 4 An example of a breast stabilization paddle including a foam compression element is depicted.

[0014] Figure 5 An example of a performance curve for a compression paddle is depicted.

[0015] Figure 6A A method for determining the performance characteristics of a breast compression paddle is described.

[0016] Figure 6B A method for tracking the performance characteristics of a breast compression paddle is described.

[0017] Figure 7 An example of a suitable operating environment is depicted in which one or more of the presented examples may be implemented.

[0018] Figure 8 Depicted are examples of networks in which the various systems and methods disclosed herein may operate. DETAILED DESCRIPTION

[0019] As described further below, breast imaging systems utilize different types of paddles. Some paddles have different shapes to accommodate different breast sizes, are made of different materials, and / or are used for different types of procedures. Furthermore, different technicians apply different amounts of pressure based on their skill and experience, or based on the size or density of the patient's breast. Lifecycle testing typically involves counting down the number of times a particular paddle is used to determine its potential failure time. This simplistic approach is not useful for breast compression paddles, as different compression forces may be applied during different procedures. A more robust approach is needed to account for the variable compression forces used in imaging systems.

[0020] Figure 1A is a schematic diagram of an exemplary imaging system 100, and Figure 1B is a perspective view of an imaging system 100 using a pressurized paddle. Figure 1A and Figure 1B, not every element described below is depicted in both figures. Imaging system 100 immobilizes a patient's breast 102 for X-ray imaging (mammography, tomosynthesis, or other imaging modalities, or both) via a breast compression immobilizer unit 104 comprising a static breast support platform 106 and a movable paddle 108. Different paddles, each with different uses, are known in the art. For context, certain example paddles are also described herein. Breast support platform 106 and paddle 108 each have compression surfaces 110 and 112, respectively, that move toward each other to compress, immobilize, stabilize, or otherwise hold and immobilize breast 102 during the imaging procedure. In known systems, compression surfaces 110, 112 are exposed for direct contact with breast 102. One or both of these compression surfaces 110, 112 can be rigid plastic, flexible plastic, resilient foam, mesh or screen, etc. Platform 106 also houses image receptor 116 and an optional tilt mechanism 118, as well as an optional anti-scatter grid (not depicted, but disposed above image receptor 116). The holder unit 104 is positioned in the path of an imaging beam 120 emitted from an x-ray source 122 such that the beam 120 impinges on the image receptor 116 .

[0021] The immobilizer unit 104 is supported on a first support arm 124 via a compression arm 134, which is configured to be raised and lowered along the support arm 124. The X-ray source 122 is supported on a second support arm, also referred to as a tube head 126. For mammography, the support arms 124 and 126 can rotate as a unit about an axis 128 between different imaging orientations, such as CC and MLO, allowing the system 100 to capture mammographic projection images in each orientation. In operation, the image receptor 116 remains in position relative to the platform 106 while images are captured. The immobilizer unit 104 releases the breast 102, allowing the arms 124, 126 to move to different imaging orientations. For tomosynthesis, the support arm 124 remains in position, with the breast 102 immobilized and held in position, while at least the second support arm 126 rotates the X-ray source 122 about the axis 128 relative to the immobilizer unit 104 and the compressed breast 102. The system 100 acquires a plurality of tomosynthesis projection images of the breast 102 at various angles of the beam 120 relative to the breast 102 .

[0022] Simultaneously and optionally, image receptor 116 can be tilted relative to breast support platform 106 and synchronously with the rotation of second support arm 126. Tilt can be by the same angle as the rotation of X-ray source 122, or by a different angle selected so that image beam 120 remains substantially in the same position on image receptor 116 for each of the multiple images. Tilt can be about axis 130, which can, but need not, lie in the image plane of image receptor 116. A tilt mechanism 118 coupled to image receptor 116 can drive image receptor 116 in a tilting motion. For tomosynthesis and / or CT imaging, breast support platform 106 can be horizontal or angled from horizontal, for example, similar to the orientation of conventional MLO imaging in mammography. System 100 can be entirely a mammography system, a CT system, entirely a tomosynthesis system, another modality such as ultrasound, or a "combination" system that can perform multiple forms of imaging. An example of a system is provided by the assignee of the present invention under the trade name Selenia Dimensions.

[0023] When the system is operated, image receptor 116 generates imaging information in response to the illumination of imaging beam 120 and provides it to image processor 132 for processing and generation of mammographic x-ray images. System control and workstation unit 138, including software, controls the operation of the system and interacts with the operator to receive commands and transmit information, including processed radiographic images.

[0024] The imaging system 100 includes a floor stand or base 140 for supporting the imaging system 100 on the floor. A gantry 142 extends upward from the floor stand 140 and rotatably supports a tube head 208 and a support arm 210. The tube head 126 and the support arm 124 are configured to rotate discretely relative to each other and can also be raised and lowered along a face 144 of the gantry 142 to accommodate patients of varying heights. The X-ray source 122 is disposed within the tube head 208. The tube head 126 and the support arm 124 may collectively be referred to as a C-arm 144.

[0025] A number of interfaces and displays are provided on the imaging system 100. These include a foot-mounted display 146, a gantry interface 148, a support arm interface 150, and a compression arm interface 152. Generally speaking, the various interfaces 148, 150, and 152 may include one or more tactile buttons, knobs, switches, and one or more displays, including a capacitive touch screen with a graphical user interface (GUI), to enable a user to interact with and control the imaging system 100. Generally speaking, the foot-mounted display 146 is primarily a display screen, but a capacitive touch screen may also be used if needed or desired.

[0026] Now refer to Figures 2A-2C, shows an example of a compression paddle 240 that includes generally rounded corners from the front wall to the base and from the front wall to the side walls. Compression paddle 240 includes features that promote greater flexibility and better conformity to breast tissue. The height of sidewall 242 is approximately lower than the height of front wall 244 and / or back wall 246 by approximately a portion between front wall 244 and back wall 246, for example, by about 20% to about 80% lower, preferably by about 25% to about 50% lower. Having a sidewall with a lower portion facilitates articulation of compression paddle 240 at front wall 244. Optionally, compression paddle 240 may also include grooves formed near the back corners to promote greater flexion of the paddle base and the entire compression paddle 240. Additional optional modifications to increase the flexibility of compression paddle 240 include varying the paddle thickness (e.g., making a portion of the paddle base thicker than other portions, such as having a greater thickness in the middle portion than in portions closer to the side walls) and manufacturing compression paddle 240 from a more flexible material than known compression paddles (e.g., preferably made of a material that is approximately 40% more flexible). The compression paddle 240 can be used to compress the patient's breast, with or without an inflatable hood and / or gel pads as known in the art. The paddle 240 also includes a data storage element 252, such as an RFID chip.

[0027] Figures 3A-3C An example of a contoured compression paddle 360 ​​is depicted. The bottom wall of compression paddle 360 ​​includes a generally concave surface 362 that generally corresponds in shape to a breast and / or the compressed breast. Generally concave surface 362 may extend generally between sidewalls 364 of compression paddle 362. Alternatively, a portion of the bottom surface includes generally concave surface 362, which helps match the contours of breast tissue. Generally concave surface 362 helps more evenly distribute the force applied to the breast, more closely conforming to the shape of the breast. This configuration can help provide greater comfort to the patient when the breast is compressed. Generally concave surface 362 includes two outer edge portions 366 that define a reference plane P, and a center portion 368. Center portion 368 is non-coplanar with outer edge portions 366, such that center portion 368 is raised relative to or disposed above reference plane P. Center portion 368 may be horizontal (e.g., parallel to reference plane P or axis A of paddle 360) or may slope downward from anterior wall 370 of paddle 360 ​​to posterior wall 372. This can help further conform paddle 360 ​​to the shape of the breast.Paddle 360 ​​also includes a data storage element 374, such as an RFID chip.

[0028] Figure 4A breast compression paddle 400 is depicted having a foam compression element 402 secured to a rigid base paddle 404. Compression paddles utilizing the foam compression element stabilize the breast without the significant compression action typical of rigid compression paddles such as those depicted above. However, some compression does occur. However, this compression is limited and typically sufficient to stabilize the breast for imaging procedures while reducing patient discomfort (compared to a standard rigid breast compression paddle). Thus, a breast compression paddle including a foam compression element can be described as performing the function of stabilizing or immobilizing the breast with minimal compression. In the context of this application, for clarity, the term "compression" is used to describe the function of various types of paddles used for breast imaging, regardless of their configuration. Paddle 400 includes a support portion 406, typically integral with base paddle 404, for connecting the paddle to a compression arm of an imaging system. Paddle 400 also includes a leading surface 408, opposite support portion 406, that is deployed adjacent to the patient's chest wall during compression and imaging procedures. In examples, the base paddle can be rigid. As used herein, the term "rigid" does not mean that the base paddle 404 will not flex during breast compression, but rather that the base paddle 404 exhibits greater resistance to bending or deformation than the foam compression element 402 affixed to the bottom of the base paddle 404. The raised wall 404a provides additional rigidity.

[0029] The foam compression element 402 may be secured to the bottom surface of the base paddle 404 using a chemical adhesive. In other examples, the upper surface of the compression element may be a rigid plastic or other material to which the foam compression element 402 is secured. Such rigid plastic may be attached to the rigid base paddle 404 of the paddle 400 using a plurality of bolts, hooks, or other mechanical fasteners (not shown). The foam compression element 402 includes a plurality of edge surfaces, only a portion of which may be secured to the base paddle 404. Figure 4 4. A leading edge surface 410 is disposed adjacent the leading face 408 of the base paddle 404 for deployment adjacent the patient's chest wall during compression and imaging procedures. Transverse edge surfaces 412 are also depicted. Compression surface 414 contacts and stabilizes the breast during imaging procedures. Paddle 400 also includes a data storage element 416, such as an RFID chip.

[0030] In addition to the compression and stabilization paddles described above, other paddles are known in the art. Other types of paddles used in breast imaging systems may include paddles with windows or other openings, for example, to accommodate breast biopsy equipment. Still other paddles are hollow, which can achieve different compression properties and image visualization. Other paddles include flexible components, such as plastic covers, which, for example, both vary breast compression and allow for disposable covers to avoid cross-contamination. In other examples, breast compression devices may take the form of a mesh or flexible screen spanning multiple rigid components, examples of which may be used for breast imaging using x-rays or ultrasound. Regardless of the configuration, the materials used in breast imaging paddles may degrade over time. This degradation may occur due to repeated use or the application of force, causing rigid materials to bend, or foam or other flexible materials to permanently compress, stretch, or distort. Over time, a breast compression paddle or other device may reach a pressure point where it no longer performs as originally designed. For example, over time, a foam compression element may not return to its original uncompressed configuration, effectively resulting in a denser foam, which would result in different images or potentially more uncomfortable compression. Rigid paddles may lose rigidity or develop microcracks, which can lead to undesirable performance. Cracks or other stress fractures may develop in the foam or paddle, which may be visible as artifacts in the image. Other degradation may occur with different types of paddles or devices. Lifecycle testing often involves counting the number of uses of a specific component to determine its potential time to failure. However, this simple approach is not useful for breast compression paddles or other devices used to stabilize the breast, as different compression forces may be applied during different procedures.

[0031] Tracking paddle performance is further complicated because an imaging suite may have multiple different paddles for, for example, large breasts, small breasts, breasts with implants, foam compression paddles, paddles for biopsies, and so on. Some breast imaging facilities may have many breast compression paddles of one type in regular use, but only a limited number of highly specialized paddles that can be shared as needed across multiple imaging suites within the facility. Further complications arise because hundreds or thousands of patients may be imaged using a particular paddle over its lifetime, and these patients may also have significantly different breast tissue densities. In that case, a patient with particularly dense breast tissue may require a higher compression force for proper imaging than a patient with less dense breast tissue. Further complications arise because different technicians may use different compression forces depending on their experience level, practice requirements, or other factors. Based on the above description, the complexity of tracking breast compression paddle performance becomes clear.

[0032] Thus, the techniques described herein track paddle usage based on the applied compressive force. For example, various paddle types can be tested in a performance lab, and the lifecycle of each paddle type can be recorded for the application of a known compressive force. In other applications, performance under certain compressive forces can be modeled based on factors such as the paddle's dimension(s), material type, material density or thickness, applied compressive force or forces, and so on. As used herein, the term "lifecycle" does not necessarily mean lifecycle to the point of physical failure; rather, "lifecycle" refers to the period of use when a paddle no longer performs as expected. While cracks or other significant failures may constitute one measure of lifecycle, other measures include permanent compression of the compressed foam, stretching of the elastic element, folding of the flexible mesh, plastic deformation, elastic deformation exceeding an acceptable threshold, and so on. Thus, by performing a more detailed analysis of paddle usage and predicting unacceptable performance degradation, paddles can be inspected, repaired, or replaced before significant performance degradation occurs or at a time specified by the manufacturer or clinic. The techniques described herein can be used to determine the lifecycle of a paddle with such complex usage by calculating the impact on the paddle's performance (lifecycle) after each use. After calculating the performance impact, a signal associated with the impact can be stored or transmitted as described elsewhere herein.

[0033] The performance tracking techniques described herein can be implemented using advanced artificial intelligence (AI) or machine learning (ML) techniques. For example, performance data about multiple paddles of the same type can be stored in a central repository along with their serial numbers. Paddles with related serial numbers, for example, indicating that they were manufactured from the same batch of material, can be associated together. Unexpected (e.g., early) performance degradation of multiple paddles that may indicate a poor batch of material can allow the AI ​​or ML techniques to update the performance curves of the paddles associated with the batch of material. Thus, the performance curves of the remaining operating paddles can be adjusted to reflect the unexpected performance condition of a certain type of paddle.

[0034] Figure 5 An example of a performance curve for a compression paddle is depicted. This curve depicts the performance of a hypothetical paddle under three uniformly applied compressive forces. For example, Figure 5 Indicates that if a hypothetical paddle were subjected to a compressive force of approximately 25 pounds, consistently (e.g., at each compression), the paddle would exhibit a service life performance of approximately 500,000 cycles. For the same type of paddle, applying a compressive force of approximately 35 pounds results in a service life performance of approximately 90,000 cycles. For the same type of paddle, consistently applying a compressive force of approximately 50 pounds results in a service life performance of approximately 8,000 cycles. Thus, the performance curve clearly shows that increasing the compressive force applied to the paddle accelerates the degradation of its service life performance. Such a performance curve can be drawn for any type of paddle based on testing in a controlled environment, estimation based on material or construction standards, estimation based on similar known paddles, computer modeling, etc.

[0035] Back to Figure 5 For the hypothetical paddle performance depicted in Figure 1, the paddle life is approximately 500,000 cycles when subjected to a continuous compressive force of 25 lbs. Therefore, compressing a new paddle by 25 lbs a single time would reduce the life to 499,999 cycles based on the following equation:

[0036]

[0037] in:

[0038] LTR is equal to the remaining service life of the actual paddle after a single compression.

[0039] LTP is equal to the current service life of the actual paddle before a single compression,

[0040] PVdatum is the baseline performance value and is equal to the service life of a known example paddle at a baseline or known compressive force, and

[0041] PVapplied is the applied performance value and is equal to the service life of a known example paddle at the force applied during an actual single compression.

[0042] further:

[0043] PVdatum / PVapplied is the reduction value, which is the amount the paddle life is reduced based on the applied compressive force.

[0044] Therefore, for applications with Figure 5 For the new paddle with a 25 lb compressive force, Equation 1 is as follows:

[0045]

[0046] Compare the above equation (at 25 lbs) with the following equation, which represents the Figure 5 Consider a new paddle, identical to the one depicted in Figure 1, but with a force of 50 lbs. In this case, for an applied compressive force of 50 lbs, Equation 1 would look like this:

[0047]

[0048] As can be seen, for the hypothetical paddle, a single compression at a force twice the baseline force results in a reduction in useful life of more than sixty (60) times the baseline force. Therefore, the need to track the forces applied to each paddle is critical to accurately determining the lifecycle. This tracking information can be calculated after each compression and stored at the individual paddle (e.g., at a data storage unit deployed thereon), at a local repository (e.g., at an imaging system or dedicated acquisition workstation), or at a networked repository (e.g., at a hospital network that stores information about multiple paddles and multiple workstations). When the remaining useful life of a particular paddle reaches a predetermined threshold, a notification or advisory can be sent indicating that the paddle should be repaired, inspected, or fully or partially replaced.

[0049] Figure 6A A method 600 is depicted for determining performance characteristics of a breast compression paddle, examples of which are described herein. Such a paddle may be used, for example, in a breast imaging system, also described herein. The method 600 begins at operation 602 by receiving a force application signal. The force application signal is associated with a breast imaging system applying a compressive force to a patient's breast using a breast compression paddle. The force may be measured by an appropriate sensor on the imaging system, as is known in the art, and sent to a remote or local processor for performing the desired calculations. In some examples, the force application signal may be the applied force. The method 600 continues at operation 604 by applying the force application signal to an algorithm. In an example, the algorithm may be the algorithm described above in Figure 5 1 in the context of . Upon applying the force application signal, a reduction value is obtained. In an example, the algorithm may include a baseline performance value corresponding to the performance of the paddle under a known or baseline compressive force. The baseline force may be a compressive force continuously applied to a similar type of paddle, which may be performed to test the service life of such a paddle. In this regard, the baseline performance value may be the service life of the paddle when the baseline force is continuously applied. In a specific example, the baseline performance value may be divided by the application performance value associated with the force application signal, as depicted in operation 606.

[0050] Once the reduction value is obtained, operation 608 is performed to subtract the reduction value from the known paddle performance value for the breast compression paddle. Upon performing this subtraction, an updated paddle performance value for the subject breast compression paddle is obtained. The known paddle performance value may be the known remaining life of the subject paddle in use. The remaining life of the paddle may be continuously updated after each force application. In that case, after the force application signal is first applied to the algorithm (e.g., operations 604 and / or 606) and the reduction value is first subtracted from the known paddle performance value (e.g., operation 608), the updated paddle performance value will then be the known paddle performance value used for subsequent force applications with the paddle and executions of method 600.

[0051] Method 600 may conclude at operation 610 by transmitting a result signal corresponding to the updated paddle performance value. In one example, the result signal may be transmitted to a storage device disposed on the paddle, such as the RFID chip depicted in the above figure. In another example, this information may be stored at the breast imaging system along with identification information from the paddle (e.g., serial number), which may be read from the RFID chip before each use. In another example, the result signal may be transmitted to a storage device remote from the breast imaging system and breast compression paddle, such as a hospital or clinic network. Information associated therewith (e.g., paddle serial number) may also be stored for future access. In another example, a signal may be transmitted to a display on the breast imaging system, for example, indicating that a particular compression paddle should be repaired or replaced, having reached the end of its lifecycle. The signal may also be transmitted to a central computer system, which may in turn signal the paddle manufacturer to initiate an order for a new paddle, service an existing paddle, etc. In another example, the signal may be used for predictive maintenance, which may include scheduling service by a previously determined date. For example, based on historical usage data of the imaging system and the expected applied compression force(s), it is determined that the paddle has a set number of uses remaining, which may correspond to a specific time period (e.g., one or two weeks.) This would enable a service appointment to be scheduled on a specific date prior to that time period to avoid failures.

[0052] Figure 6B A method 650 for tracking performance characteristics of a breast compression paddle is depicted. The method 650 begins by reading a known paddle performance value from a data storage unit deployed on a breast compression paddle, operation 652. In some examples, the known paddle performance value may be the remaining life of a particular compression paddle. As described elsewhere herein, the known paddle performance value may be based at least in part on the material from which the compression paddle (or parts thereof) is made, the paddle dimensions, etc. For example, for a paddle such as Figure 2C , which depicts a foam compression element secured to a rigid base paddle, the known paddle performance values ​​may be based on the foam material, which is more susceptible to degradation over time than a rigid base paddle. For a known imaging procedure, while the breast is supported on a breast support platform, operation 654 may be performed to apply a compressive force to the breast using the breast compression paddle. The applied compressive force is recorded at operation 656. Thereafter, the compressive force applied by the compression paddle is applied to an algorithm to obtain a reduction value. In an example, the algorithm may be the one described above in Figure 5, which corresponds to a known or baseline compressive force. The baseline compressive force can be a compressive force consistently applied to similar types of paddles, which can be performed to test the service life of such paddles. In this regard, the baseline performance value can be the service life of the paddle when the baseline compressive force is consistently applied. In a specific example, the baseline performance value can be divided by the applied performance value associated with the force application signal, as depicted in operation 660.

[0053] Thereafter, an operation 662 is performed to calculate an updated paddle performance value for the breast compression paddle. The updated paddle performance value may be based, at least in part, on the known paddle performance value and the reduction value. In optional operation 664, this calculation may include subtracting the reduction value from the known paddle performance value. In operation 666, the updated paddle performance value is written to a data storage unit (e.g., an RFID chip) disposed on the breast compression paddle. In optional operation 668, writing the updated paddle performance value to the data storage unit includes sending a signal to the data storage unit.

[0054] Figure 7 An example of a suitable operating environment 700 in which one or more of the examples given may be implemented is illustrated. This operating environment may be incorporated directly into the virtualization system disclosed herein, or may be incorporated into a computer system that is separate from but used to control the breast imaging system described herein. For example, such a computer system may be Figure 1A The workstation depicted in FIG. is only one example of a suitable operating environment and is not intended to imply any limitation as to the scope of use or functionality. Other well-known computing systems, environments, and / or configurations that may be suitable for use include, but are not limited to, imaging systems, personal computers, server computers, handheld or laptop devices, multiprocessor systems, microprocessor-based systems, programmable consumer electronics such as smartphones, network PCs, minicomputers, mainframe computers, tablet computers, distributed computing environments that include any of the above, and the like.

[0055] In its most basic configuration, operating environment 700 typically includes at least one processing unit 702 and memory 704. Depending on the exact configuration and type of computing device, memory 704 (which stores, among other things, instructions for reading from data storage devices or sensors, or performing other methods disclosed herein) can be volatile (such as RAM), non-volatile (such as ROM, flash memory, etc.), or some combination of the two. Figure 7This most basic configuration is illustrated by dashed line 706. Furthermore, environment 700 may also include storage devices (removable devices 708 and / or non-removable devices 710), including but not limited to magnetic or optical disks or tapes. Similarly, environment 700 may also have input device(s) 714, such as a touch screen, keyboard, mouse, pen, voice input, and / or output device(s) 716, such as a display, speaker, printer, and the like. The environment may also include one or more communication connections 712, such as LAN, WAN, point-to-point, Bluetooth, RF, and the like.

[0056] The operating environment 700 typically includes at least some form of computer-readable media. Computer-readable media can be any available media that can be accessed by the processing unit 702 or other devices having the operating environment. By way of example, and not limitation, computer-readable media can include computer storage media and communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Computer storage media 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 devices or other magnetic storage devices, solid-state storage devices, or any other tangible medium that can be used to store the desired information. Communication media embodies computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and includes any information delivery media. The term "modulated data signal" refers to a signal that has one or more of its characteristics set or changed in such a way as to encode information in the signal. By way of example and not limitation, communication media includes wired media such as a wired network or direct wired connection, and wireless media such as acoustic, RF, infrared, and other wireless media. Combinations of any of the above should also be included within the scope of computer-readable media. A computer-readable device is a hardware device that incorporates computer storage media.

[0057] Operating environment 700 can be a single computer that is operated in a networked environment using a logical connection to one or more remote computers. The remote computer can be a personal computer, server, router, network PC, peer device or other public network node, and generally includes many or all of the above elements and other elements not mentioned. The logical connection can include any method supported by available communication media. Such a networked environment is common in offices, enterprise-wide computer networks, intranets and the Internet.

[0058] In some embodiments, the components described herein include such modules or instructions executable by the computer system 700, which may be stored on computer storage media and other tangible media and transmitted over communication media. Computer storage media include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information such as computer-readable instructions, data structures, program modules, or other data. Any combination of the above is also included within the scope of computer-readable media. In some embodiments, the computer system 700 is part of a network that stores data in remote storage media for use by the computer system 700.

[0059] Figure 8 is an embodiment of a network 800 in which the various systems and methods disclosed herein may operate. In embodiments, a client device, such as client device 802, may communicate with one or more servers, such as servers 804 and 806, via network 800. In embodiments, a client device may be a standalone imaging system (e.g., Figure 1A The client device may also include or be combined with a laptop, personal computer, smart phone, PDA, netbook or any other type of computing device, such as Figure 7 In an example, such a client device can be connected to the imaging system. In an embodiment, the servers 804 and 806 can also be any type of computing device, such as Figure 7 The computing device shown. Network 800 can be any type of network capable of facilitating communication between a client device and one or more servers 804 and 806. For example, surface image data and internal image data can be acquired locally via an imaging system and transmitted to another (or multiple) computing devices for further processing, such as an image acquisition workstation or a cloud-based service. Examples of such networks include, but are not limited to, a LAN, a WAN, a cellular network, and / or the Internet.

[0060] In embodiments, the various systems and methods disclosed herein can be performed by one or more server devices. For example, in one embodiment, a single server, such as server 804, can be employed to perform the systems and methods disclosed herein, such as the imaging methods discussed herein. Client device 802 can interact with server 804 via network 800. In other embodiments, client device 802 can also perform the functions disclosed herein, such as scanning and image processing, which can then be provided to server 804 and / or 806.

[0061] This disclosure describes some examples of the present technology with reference to the accompanying drawings, of which only some possible examples are shown. However, other aspects may be implemented in many different forms and should not be construed as limited to the examples set forth herein. Rather, these examples are provided to make this disclosure thorough and complete and to fully convey the range of possible examples to those skilled in the art.

[0062] Although specific examples are described herein, the scope of the present technology is not limited to those specific examples. Those skilled in the art will recognize other examples or modifications within the scope of the present technology. Therefore, specific structures, actions, or media are disclosed only as illustrative examples. Unless otherwise indicated herein, elements or components that are generally disclosed but not explicitly illustrated in combination may also be combined according to the examples of the present technology. The scope of the present technology is defined by the appended claims and any equivalents thereto.

Claims

1. A method of determining performance characteristics of a breast compression paddle used in a breast imaging system, the method comprising: receiving a force application signal, wherein the force application signal is associated with the breast imaging system applying a compressive force to a patient's breast using the breast compression paddle; applying the force application signal to an algorithm to obtain a reduction value; as well as The reduction value is subtracted from the known paddle performance value of the breast compression paddle to obtain an updated paddle performance value for the breast compression paddle. 2 . The method of claim 1 , further comprising sending a result signal corresponding to the updated paddle performance value.

3. The method of claim 2, wherein the result signal is sent to a storage device deployed on the paddle.

4. The method of claim 2, wherein the resultant signal is sent to a storage device remote from the breast imaging system and the breast compression paddle. The method of claim 1 , wherein the algorithm includes baseline performance values ​​corresponding to known forces.

6. The method of claim 5, wherein the algorithm further comprises dividing the baseline performance value by an application performance value associated with the force application signal to obtain a reduction value.

7. The method of claim 6, wherein after a first application of the force application signal to the algorithm and a first subtraction of the reduction value from the known paddle performance value, the updated paddle performance value comprises a known paddle performance value for a second application of the force application signal to the algorithm.

8. A system for determining performance characteristics of a breast compression paddle used in a breast imaging system, the system comprising: a breast support platform for supporting the breasts; a tube head capable of rotating relative to the breast support platform; an X-ray source disposed in the tube head; an X-ray detector disposed in the breast support platform; a compression paddle disposed between the X-ray source and the X-ray detector and configured to compress a breast against the breast support platform; a controller for controlling the X-ray source; at least one processor communicatively coupled to the controller; as well as a memory communicatively coupled to the at least one processor, the memory comprising computer-executable instructions that, when executed by the processor, perform a method comprising: receiving a force application signal, wherein the force application signal is associated with applying a compressive force to a breast between the breast support platform and the compression paddle; as well as A performance impact on the compression paddle is calculated based at least in part on the force application signal.

9. The system of claim 8, wherein the compression paddle comprises a data storage device.

10. The system of claim 9, wherein the data storage device comprises an RFID chip.

11. The system of claim 9, wherein the data storage device is communicatively coupled to the at least one processor.

12. The system of claim 9, wherein the method further comprises sending a performance-affecting signal to the data storage device of the compression paddle, wherein the performance-affecting signal comprises calculating a remaining number of paddle compressions for the compression paddle.

13. The system of claim 12, wherein the method further comprises sending a service recommendation signal.

14. The system of claim 8, wherein the at least one processor and the memory are remotely disposed from the controller.

15. The system of claim 8, wherein the at least one processor and the memory are integrated with the controller.

16. A method of determining performance characteristics of a breast compression paddle for use in a breast imaging system, the method comprising: reading a known paddle performance value from a data storage unit disposed on the breast compression paddle; applying force to the breast with the breast compression paddle while the breast is supported on the breast support platform; recording a force applied to the breast with the breast compression paddle; applying the applied force to the algorithm to obtain a reduction value; calculating an updated paddle performance value for the breast compression paddle, wherein the updated paddle performance value is based at least in part on a known paddle performance value and the reduction value; as well as The updated paddle performance value is written to a data storage unit disposed on the breast compression paddle.

17. The method of claim 16, wherein the known paddle property value is based at least in part on compressed paddle material.

18. The method of claim 16, wherein applying the applied force to the algorithm comprises dividing a baseline performance value at a known force by an applied performance value associated with the applied force.

19. The method of claim 16, wherein calculating an updated paddle performance value comprises subtracting a reduction value from a known paddle performance value.

20. The method of claim 16, wherein writing the updated paddle performance value to the data storage unit comprises sending a signal to the data storage unit.

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