System for image processing

Abstract

The invention relates to a system (100) for image processing, which can improve the availability of imaging devices during interventions.

Description

Technical Field

[0001] The present invention relates to systems for image processing, computer-implemented methods for image processing, computer programs, and imaging devices. Background Technology

[0002] Medical imaging systems are typically used in catheterization labs for percutaneous coronary intervention (PCI) to address cardiac stenosis. Typically, a catheter is inserted into the vascular system at the access site and advanced along the major vessels to the vascular structure requiring treatment. Contrast agent is injected via the catheter, and a cathlab X-ray device records an angiographic sequence showing the vessel as it is filled with contrast agent. Diagnostic planning and interventional procedures are often based on such diagnostic angiography. During the intervention, a flexible, partially or completely radiopaque guidewire is advanced to the affected vascular structure (e.g., coronary artery stenosis, neurovascular aneurysm, or arteriovenous malformation). A low-dose X-ray tip with fluoroscopy visualizes the guidewire and allows the interventional physician to coordinate hand-eye movements as the guidewire is advanced. Once positioned, the guidewire serves as a guide for delivering interventional devices such as balloons for dilation and stent delivery, or detachable coils for aneurysm coagulation.

[0003] In the field of radiology, automated localization of diagnostic imaging systems is a complex topic because not only must the patient's position be assessed, but the image quality of the medical imaging data must also be adequate. Furthermore, medical imaging during interventional procedures is often performed manually due to its highly complex nature. Typically, several guidelines are provided to assist medical personnel in locating medical imaging equipment. Summary of the Invention

[0004] An improved system for image processing is provided using embodiments of the present invention.

[0005] This invention is defined by the independent claims. Further embodiments and advantages of the invention are incorporated in the dependent claims and description.

[0006] Technical terms are used according to common sense. If a specific meaning is to be conveyed to certain terms, then the definition of the term will be given below in the context of its use.

[0007] According to a first aspect of the invention, a system for imaging processing includes an identification unit and a compliance unit. The identification unit is used to receive an intervention focus. For example, the received intervention focus may indicate (or reflect or specify) which intervention is depicted (or drawn, or displayed, or represented, or delineated, or outlined) in the image data, and reflect which anatomical region is undergoing intervention in the image data. The identification unit is configured to determine an orientation parameter indicating the orientation of the imaging device when generating image data. The compliance unit includes and / or is configured to receive a predefined threshold for the orientation parameter specific to the received intervention focus. Furthermore, the compliance unit is configured to compare the determined orientation parameter with the predefined threshold. Furthermore, the compliance unit is configured to calculate an optimized orientation parameter for the orientation of the imaging device based on the comparison. Furthermore, the compliance unit is configured to generate a signal indicating the orientation of the imaging device based on the calculated optimized orientation parameter.

[0008] The advantage of this embodiment is that it can improve the positioning of the imaging device during intervention. By providing a solution for this dynamic process, the availability of the imaging device during intervention can be improved. In this embodiment, predefined guidelines are used to increase the availability of the imaging device during intervention because the system is able to compare the current status of the intervention with the predefined guidelines.

[0009] In other words, the system for image processing is configured to process medical image data. The system may include or may have an identification unit and / or an identification logic unit. Furthermore, the system may include and / or may have a compliance unit and / or a compliance logic unit. Additionally, the identification unit may be configured to receive, download, and / or access image data representing an intervention. From the image data, the focus of the intervention is automatically identified, for example, using artificial intelligence (AI) algorithms.

[0010] In this context, "interventional focus" or the focal point of an intervention is understood as the location in an image that the physician or doctor will focus on during the intervention (procedure). In clinical practice, clinicians are often observed to pay close attention to local areas of an image. Advantageously, the interventional focus is automatically determined herein from the clinical context derived from image data, particularly involving the identification of one or more interventional devices and anatomical regions in images or sequences of such images representing the intervention.

[0011] In addition, the identification unit is configured to determine orientation parameters that indicate the orientation of the imaging device, particularly the orientation of the imaging device when image data for determining the intervention focus is acquired.

[0012] For example, when it is determined that the current image data represents the focal point of intervention, the orientation parameters are determined by recording the current position of the imaging device, especially the geometry including zoom and angle stage positioning.

[0013] For example, orientation parameters represent the rotation and / or angle of the C-arm X-ray system during the generation or corresponding acquisition of image data.

[0014] In addition, the compliance unit may receive guidelines corresponding to the type of intervention. In particular, such guidelines may include system localization guidelines, such as system localization guidelines for percutaneous coronary intervention (PCI) procedures.

[0015] In this embodiment, guide position parameters corresponding to the intervention focus are determined based on such a guide. For example, starting with the PCI system positioning guide, the preferred angle and / or orientation of the C-arm X-ray system can be determined.

[0016] The guide position parameters can then be compared with the received actual orientation parameters, and the deviation between the two can be calculated. In an embodiment, if the calculated deviation exceeds a predefined threshold, further actions can be triggered, such as generating a signal indicating, for example, the positioning difference.

[0017] For example, predefined thresholds or corresponding pre-specified boundary values ​​for orientation parameters can be specific to and / or dependent on the received intervention focus, particularly the corresponding guide position parameters. Furthermore, predefined thresholds can include a set of several different specified boundaries, particularly specified boundaries based on the intervention focus, such as a set of corresponding guide position parameters.

[0018] In some examples, guidelines and / or a set of guidelines can be accessed by the compliance unit via a computer network infrastructure (such as the cloud, or any other online and / or network storage).

[0019] In embodiments, the compliance unit is configured to calculate or generate orientation parameters, particularly optimized, improved, and / or enhanced orientation parameters, for correcting, altering, and / or adjusting the orientation of the imaging device. Advantageously, such optimized orientation parameters may include instructions on how to change the device's position from its actual orientation to an optimized orientation conforming to positioning guidelines. For example, such instructions may then be displayed to the user along with a signal indicating a positioning discrepancy. Alternatively, such instructions may be appropriately provided to the control unit for automatically changing the device's position when the user provides input in response to the signal indicating a positioning discrepancy being provided to him. In this example system, the system may receive real-time image data from which the intervention focus can be determined. Furthermore, the system may be able to directly detect the type of intervention by, for example, analyzing the image data stream using machine learning techniques.

[0020] Alternatively or additionally, the type of process or intervention can be determined, for example, by reading a check card and / or manually entering data.

[0021] Furthermore, logs and reports from previous interventions or earlier steps in the current intervention can be used to determine the focus of the intervention. For example, this could involve analyzing log information, as described in Patil et al.'s article "A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization" (Conference proceeding: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016, pp. 2423-2426, August 2016).

[0022] Based on the detected intervention type, the system can retrieve a guide, which may include, for example, one or more guide location parameters for the preferred orientation of the imaging device at certain steps of the intervention. Optionally, the positioning guide may also include a threshold for permissible deviation from the preferred orientation. Alternatively, a threshold.

[0023] By comparing the current orientation parameters of the imaging device with the guide position parameters corresponding to the determined intervention focus, the system can output development prompts and / or statistics.

[0024] The focus of intervention can refer to the interventional step and / or a series (especially consecutive) of interventional steps. The interventional steps can be imaged over time by an imaging device. In particular, multiple images can be acquired over time to represent the interventional steps and / or the sequence of interventional steps.

[0025] For example, during a coronary artery stenting procedure (PCI), there may be several steps, such as: access via the femur, catheter navigation to the coronary tree ostium, assessment of the coronary tree (angiography), wiring of one or more branches, navigation to and through stenosis, stent localization, stent delivery, and many other examples of interventional steps within the intervention focus. Each of the interventional steps can be imaged, and the intervention focus can be determined within each image frame, and / or optimized orientation parameters can be calculated. Furthermore, an identification unit can be configured to determine and / or receive the type of intervention, and / or to identify and / or determine the intervention focus, wherein the intervention focus may at least partially point to the interventional steps and / or the sequence of interventional steps. Additionally, a compliance unit can optionally be configured to calculate optimized orientation parameters for each step of the intervention for the received intervention focus. For example, the identification unit can determine the intervention focus, e.g., global intervention (PCI), and the interventional step (e.g., stent implantation). Furthermore, the identification unit can be configured to identify the type of anatomical element. Furthermore, the compliance unit can be configured to calculate optimized orientation parameters based on the type of anatomical element within the intervention focus and / or the interventional step. For example, the identification unit can identify the MID RCA segment into which the stent is placed, thereby identifying anatomical elements and interventional procedures.

[0026] According to an embodiment, the compliance unit is configured to calculate the deviation between the orientation parameter and a predefined threshold, and wherein the compliance unit is configured to calculate an optimized orientation parameter that minimizes the deviation.

[0027] The advantage of this embodiment is that by minimizing the deviation, the imaging quality of the image data can be improved, because the orientation of the medical imaging device can enhance the acquisition of medical images.

[0028] In other words, the compliance unit can be configured to calculate, detect, and / or evaluate the deviation, increment, and / or dispersion between the actual orientation parameters and the guide position parameters relative to a predefined threshold. Furthermore, the compliance unit can be configured to calculate, generate, and / or output optimized orientation parameters such that the deviation is minimized, reduced, and / or decreased. In the example, the system calculates optimized orientation parameters, which thereby prompt the attending physician to correct the orientation of the medical imaging device, thereby, for example, increasing image quality.

[0029] According to an embodiment, the compliance unit is configured to generate command or control signals based on optimized orientation parameters. For example, the command signal may include an instruction to the user to adjust the imaging device to minimize deviation. Alternatively or additionally, a control signal may be supplied to a suitably programmed control unit configured to automatically change the orientation of the imaging device such that deviation is minimized. Preferably, this automatic change is implemented after the user provides input or in response to a signal indicating that the deviation of the device's current orientation relative to the guide position exceeds a threshold.

[0030] The advantage of this embodiment is that, with the help of command signals, the user knows exactly how to interpret changes in the orientation of the medical imaging device, thereby increasing the availability of the medical imaging device and supporting intervention.

[0031] In other words, the compliance unit is configured to generate or correspondingly assign command signals and / or command data elements based on optimized orientation parameters and / or derived from optimized orientation parameters. Furthermore, the command signals may include and / or may have commands or corresponding prompts instructing or guiding the user (particularly the user of a medical imaging device) to adjust and / or change the orientation of the imaging device, which will minimize or correspondingly reduce deviation. In the example, the system outputs a signal to the user of the medical imaging device and / or the system indicating a change in the orientation of the medical imaging device, which can lead to a reduction in deviation and thus an increase in the image quality of the images acquired by the medical imaging device.

[0032] According to an embodiment, the orientation parameters and / or optimized orientation parameters are the geometric parameters and / or angular parameters of the imaging device and / or the operating stage of the imaging device.

[0033] In other words, the orientation parameter indicates the position of the medical imaging device. Furthermore, the orientation parameter can indicate the angle of the imaging device. Additionally, improved orientation parameters can indicate changes in the geometric position and / or parameters of the medical imaging device, and can also indicate changes in the angle and / or orientation of the imaging device. Furthermore, improved orientation parameters can include the position and / or changes in the position of an operating table that may be included by the medical imaging device. According to an embodiment, the identification unit is configured to determine the interventional focus based on image data. Furthermore, the identification unit is configured to identify the interventional device, such as a medical interventional tool, for intervention and the anatomical region of the intervention, based on the image data. Furthermore, the determination of the interventional focus is also based on the identified device and the identified anatomical region.

[0034] This embodiment can have the following advantages: with the help of identifying the device and the medical area (especially the device relative to the anatomical area), the determination of the intervention focus can be further improved.

[0035] In other words, the identification unit is configured to calculate or accordingly determine the intervention focus based on image data and / or by evaluating image data to determine the intervention focus. Furthermore, the identification unit is configured to identify and / or detect devices based on image data and / or by evaluating image data, particularly surgical instruments used in the intervention, and anatomical regions or corresponding areas within the body undergoing the intervention. Additionally, the determination of the intervention focus is also based on and / or includes the identified devices and identified anatomical regions. In the example, the identification unit is configured to automatically determine the intervention focus based on image data or medical images, thereby enabling the identification of devices and anatomical regions within the medical images. The determination of the intervention focus can also be improved by including the identified devices and identified anatomical regions.

[0036] According to an embodiment, the identification unit is configured to identify the location and / or orientation of a device used in the intervention and depicted in medical image data. Furthermore, the determination of the intervention focus is also based on the location and / or orientation of the device.

[0037] This embodiment may have the advantage of further improving the determination of the intervention focus by identifying the location and / or orientation of the device.

[0038] In other words, the identification unit is configured to identify or detect, based on medical image data, the location of the device used in the intervention, its location within the medical image, and / or the orientation of the device, or correspondingly, the orientation of the device within the body undergoing the invention. Furthermore, the determination of the intervention focus is also based on the location and / or orientation of the device accordingly.

[0039] According to an embodiment, the identification unit is configured to identify anatomical elements within an anatomical region depicted in image data and / or report and log data elements. Furthermore, the identification unit is configured to determine the location and / or orientation of the anatomical elements in the image data and / or report and log data elements. Additionally, the determination of the intervention focus is also based on the location and / or orientation of the anatomical elements in the image data.

[0040] The advantage of this embodiment is that the determination of the intervention focus can be improved by recognizing the anatomical elements, because the recognition unit can identify the type or kind of anatomical element undergoing the present invention.

[0041] In other words, the identification unit is configured to identify or correspondingly identify anatomical elements, body parts, and / or organs within anatomical regions in the detection image data and / or indications of interventional report and log data elements stored in the database. Furthermore, the identification unit is configured to determine and / or calculate the location, particularly the location in medical images, and / or the orientation of anatomical elements, especially the orientation of anatomical elements within the body undergoing the intervention. Additionally, the determination of the intervention focus is also based on or correspondingly includes the location and / or orientation of anatomical elements contained in the image data.

[0042] In the example, the identification unit is configured to identify anatomical elements within the anatomical region. For example, the identification unit may focus on bones (spine), diaphragms, and / or coronary arteries. The determination of the intervention focus can also be improved based on the location and orientation of these or other anatomical features in the image.

[0043] Additionally or alternatively, the identification unit is configured to identify interventional devices within the images. For example, the identification unit may focus on the guidewire tip, balloon, and / or stent, analyzing the presence and dynamic behavior of such elements in a sequence of images. Based on this, the determination of the interventional focus can also be improved. As an illustrative example, the deployment of a balloon encasing a stent unambiguously indicates that stent implantation occurred at the balloon location.

[0044] According to an embodiment, the identification unit is configured to associate the device with the anatomical region through registration of interventional fluorescence fluoroscopic image data.

[0045] This embodiment can have the advantage that the location of the device and the orientation of the anatomical region can be correlated, and thus the availability of the intervention can be further improved.

[0046] In other words, the identification unit is configured to correlate, associate, and / or link the device with anatomical regions within the fluorescence fluoroscopy image data. The correlation between the device and the anatomical region can be used for device navigation. Furthermore, the correlation can be used for the localization and delivery of angiographic data to visualize blood vessels and lumens. In this example, the device is introduced into the human body, specifically into the anatomical region. To further determine the interventional focus, the correlation between the device and the anatomical region is performed through registration with fluorescence fluoroscopy (as above).

[0047] According to one embodiment, the system further includes a decision unit. The decision unit is configured to statistically evaluate the results of a comparison between a predefined threshold and an orientation parameter.

[0048] This embodiment can have the following advantages: with the help of the decision unit, the comparison between predefined thresholds and orientation parameters can be compared with other interventional and / or other treatment physicians, which can further improve the reliability of the intervention.

[0049] In other words, the decision unit and / or decision logic are configured to statistically evaluate and / or compile the results of comparisons between predefined thresholds and orientation parameters, and / or the results of comparisons between predefined thresholds and orientation parameters.

[0050] According to an embodiment, the decision-making unit is configured to dynamically adjust the intervention focus throughout the intervention process.

[0051] The advantage of this embodiment is that, with the help of the decision unit, changes in intervention within an interventional procedure can be identified, and the intervention focus can be adapted, for example, to new interventional subtypes and / or new anatomical elements, such as element switching from the liver to the stomach.

[0052] In other words, the decision unit is configured to dynamically adjust or change the intervention focus based on events throughout the intervention process, based on received image data and / or image focus.

[0053] According to one embodiment, the system includes an artificial intelligence (AI) module. Furthermore, the AI ​​module is configured to identify the type of intervention based on image data.

[0054] The advantage of this embodiment is that, with the help of an AI module, the type of intervention can be determined based on image data or corresponding medical images within a few seconds.

[0055] In other words, the system may accordingly include AI modules, AI logic, and / or AI interfaces. Furthermore, the AI ​​modules can be configured to identify, evaluate, and / or calculate the type of intervention and / or surgery or corresponding medical procedure based on image data and / or recorded information.

[0056] According to an embodiment, the compliance unit is configured to adjust a predefined threshold based on the determined type of intervention.

[0057] This embodiment can have the following advantages: based on the determined type of intervention, a predefined threshold can be adjusted, which can further improve the availability and reliability of the intervention.

[0058] In other words, the compliance unit is configured to adjust, fit, and / or customize predefined thresholds or corresponding boundary values ​​based on and / or according to the determined type of intervention.

[0059] A second aspect of the present invention is a computer-implemented method, wherein the method includes the following steps:

[0060] - Receive image data indicating intervention;

[0061] - Identify the interventional devices and anatomical regions used in the intervention based on image data.

[0062] - Determine the intervention focus based on the identified equipment and the identified anatomical region.

[0063] - Determine orientation parameters that indicate the orientation of the imaging device when generating image data.

[0064] -Guidelines corresponding to the types of reception and intervention.

[0065] - Determine the guideline location parameters corresponding to the intervention focus based on the guideline.

[0066] - Compare the determined guide position parameters with the received orientation parameter d.

[0067] - Calculate the deviation between the guide position parameter and the orientation parameter, and,

[0068] - If the calculated deviation exceeds a predefined threshold, a signal indicating the positioning difference is generated.

[0069] Furthermore, the received intervention focus can indicate (or specify or reflect) which intervention is depicted in the image data and reflect which anatomical region is undergoing the intervention depicted in the image data.

[0070] The advantage of this embodiment is that it can improve the positioning of the imaging device during intervention. By providing a solution for this dynamic process, the availability of the imaging device during intervention can be improved. Furthermore, this embodiment can include the advantage of being able to implement control factors with the aid of interventional supervision, which further improves the reliability of the intervention. Moreover, since the system is able to compare the current status of the intervention with predefined guidelines, these predefined guidelines can be used to increase the availability of the imaging device during intervention.

[0071] In other words, the method may include receiving, downloading, and / or evaluating the interventional focus based on interventional image data acquired by an imaging device (especially a medical imaging device). Furthermore, the method may include steps such as determining or correspondingly calculating orientation parameters indicating the orientation of the imaging device during image data generation, particularly during the acquisition of medical images with the assistance of a medical imaging device. Additionally, the method may include steps such as comparing, matching, and / or checking the determined orientation parameters and predefined thresholds. Furthermore, the method may include the steps of: calculating or correspondingly determining optimized orientation parameters, particularly optimized orientation parameters for correcting the orientation of the imaging device (especially the orientation of a medical imaging device). Furthermore, the method may include the steps of: generating and / or outputting a signal indicating the orientation of the imaging device based on the calculated optimized orientation parameters, particularly a signal for changing the orientation of the imaging device based on the calculated optimized orientation parameters. Moreover, the received interventional focus specifies in the image data which intervention is performed and which anatomical region is treated by the intervention.

[0072] A third aspect of the invention is a computer program that, when run on a processor, instructs the processor to perform the methods described above and below. For example, the computer program may be stored in the system's memory. The computer program may run on a single computer, multiple computers, and / or a cloud computing architecture.

[0073] A fourth aspect of the invention is an imaging apparatus, particularly a medical imaging apparatus, comprising a system as described above and below and / or a computer-readable medium storing thereon a computer program as described above and below. The computer-readable medium may be a storage medium, such as a USB flash drive, CD, DVD, data storage device, server, hard disk, or other medium capable of storing the computer program as described above.

[0074] All disclosures relating to any aspect of the invention described herein also apply to all other aspects of the invention.

[0075] Examples and embodiments of the invention are described below with reference to the accompanying drawings. Attached Figure Description

[0076] Figure 1 A system for imaging processing according to an embodiment is shown.

[0077] Figure 2 A medical imaging device according to an embodiment is shown.

[0078] Figure 3 An illustrative intervention focus according to an embodiment is shown.

[0079] Figure 4 A flowchart illustrating a method according to an embodiment is shown.

[0080] List of reference numerals in the attached diagram:

[0081] 100-system

[0082] 102-Identification Unit

[0083] 104-Compliance Unit

[0084] 106-Decision Unit

[0085] 108-AI Module

[0086] 110-interface

[0087] 112-Recording Unit

[0088] 200-Intervention Focus

[0089] 202-Anatomical Area

[0090] 204-Equipment

[0091] 206-Location

[0092] 208 – Orientation

[0093] 210-Anatomical Elements

[0094] 212-Position

[0095] 214-orientation

[0096] 300-Imaging Equipment

[0097] 302-Orientation

[0098] 304-Control Panel

[0099] 350-interface

[0100] 400 users

[0101] 500-method

[0102] 600 - Computer-readable media

[0103] S1 - Receiving Intervention Focus

[0104] S2 - Determine orientation parameters

[0105] S3-Comparison

[0106] S4 - Calculate the orientation parameters for optimization

[0107] S5 - Generation Detailed Implementation

[0108] Figure 1 A system 100 for imaging processing is shown, wherein the system 100 includes an identification unit 102 and a compliance unit 104. The identification unit 102 is configured to determine an intervention focus 200. The determined intervention focus 200 specifies in the image data which intervention was performed and which anatomical region 202 was treated by the intervention. Furthermore, the identification unit 102 is configured to determine orientation parameters indicating the orientation 302 of the imaging device 300 during image data generation.

[0109] Furthermore, compliance unit 104 is configured to receive guidelines corresponding to the type of intervention. Based on these guidelines, a guideline location parameter corresponding to the intervention focus is determined, and this parameter is compared with the current orientation parameter. The deviation between the guideline location parameter and the orientation parameter is calculated.

[0110] The compliance unit 104 is also configured to receive, determine, or store predefined thresholds for orientation parameters specific to the received intervention focus 200. Furthermore, the compliance unit 104 is configured to compare the calculated deviation with the predefined thresholds.

[0111] Furthermore, in some embodiments, the compliance unit 104 is optionally configured to calculate optimized orientation parameters to correct the orientation 302 of the imaging device 300. Additionally, the compliance unit 104 may be configured to generate a control signal for changing the orientation 302 of the imaging device 300 based on the calculated optimized orientation parameters.

[0112] The advantage of this embodiment is that it can improve the positioning of the imaging device 300 during intervention. By providing a solution for this dynamic process, the availability of the imaging device 300 during intervention can be improved. Furthermore, this embodiment can include the advantage of being able to implement control factors with the aid of interventional supervision, which further increases the reliability of the intervention. Moreover, since the system is able to compare the current status of the intervention with predefined guidelines, these predefined guidelines can be used to increase the availability of the imaging device 300 during intervention.

[0113] like Figure 1 As can be seen, system 100 includes an identification unit 102. The identification unit 102 can be configured to determine the intervention focus 200, for example, by determining the intervention focus 200 based on medical image data.

[0114] Furthermore, the identification unit 102 is configured to determine the orientation parameters of the orientation 302 of the imaging device 300.

[0115] Specifically, the identification unit 102 is configured to determine the interventional focus 200 based on image data. Furthermore, the identification unit 102 is configured to identify the device 204 and anatomical region 202 in the image data. Additionally, the identification unit 102 is configured to identify the location 206 and / or orientation 208 of the device 204 within the medical image data. Furthermore, the identification unit 102 is configured to identify anatomical elements 210, such as coronary arteries in the medical image data. Furthermore, the identification unit 102 is configured to determine the location 212 and orientation 214 of the anatomical element 210 in the image data and / or report and / or log data elements.

[0116] Furthermore, in some embodiments, the identification unit 102 is configured to associate the device 204 with the anatomical region 202 with the aid of registration of fluorescence fluoroscopy (as above) within medical image data.

[0117] In some embodiments, compliance unit 104 is configured to generate control signals for changing the orientation 302 of imaging device 300, particularly to minimize the deviation between the guide position parameter and the actual orientation parameter. Furthermore, compliance unit 104 can be configured to generate command signals. Command signals include commands instructing user 400 to adjust the position and / or orientation of imaging device 300 accordingly.

[0118] In addition, compliance unit 104 is configured to adjust predefined thresholds based on the determined intervention type. Alternatively or additionally, the predefined thresholds can be obtained from the guidelines along with the guidelines location parameters.

[0119] Furthermore, system 100 includes a decision unit 106 configured to statistically evaluate the comparison results between predefined thresholds and orientation parameters. Additionally, decision unit 106 is configured to dynamically adjust intervention focus 200 throughout the intervention process. Furthermore, system 100 includes an artificial intelligence (AI) module 108. AI module 108 is configured to identify the type of intervention based on image data. Furthermore, system 100 may include a user interface 110 configured to receive the type of intervention or intervention focus 200. Furthermore, system 100 may include a recording unit 112 configured to record data and logs of the intervention, and particularly intervention focus 200, to create report and log data elements.

[0120] Figure 2 An imaging apparatus 300 is shown, which includes the system 100 as described above and below. Furthermore, the imaging apparatus 300 includes a computer-readable medium 600 on which the computer program as described above and below is stored. Additionally, the imaging apparatus may include an interface element 350 configured to interact with a user 400 of the imaging apparatus 300. The interface element 350 may, for example, indicate a change in the orientation 302 of the imaging apparatus 300. Furthermore, the imaging apparatus may include an operating table 304, wherein the interface element 350 may output a signal indicating a change in the orientation of the operating table 304.

[0121] Figure 3 An interventional focus 200 of the anatomical region 202 is shown. Within the interventional focus 200, a device 204 can be identified. The device 204 can be located within the image data based on position 206. Furthermore, the orientation 208 of the device can be identified within the interventional focus 200. Additionally, anatomical elements 210 can be identified within the interventional focus 200 and / or the anatomical region 202. Furthermore, the position 212 of the anatomical element 210 can be evaluated. Furthermore, the orientation 214 of the anatomical element 210 can be evaluated with the assistance of the system 100.

[0122] Figure 4A flowchart of the illustrated method 500 is shown. Method 500 includes step S1 of determining the intervention focus from image data representing the intervention and, particularly, based on the interventional device and / or anatomical region identified in the image data. Furthermore, method 500 includes step S2 of determining orientation parameters. Furthermore, method 500 includes step S3 of comparing the determined orientation parameters with guide position parameters determined according to a guide corresponding to the type of intervention. Furthermore, method 500 includes step S4 of calculating the deviation between the guide position parameters and the orientation parameters. Furthermore, method 500 includes step S5 of generating a signal indicating the positioning difference.

[0123] Where an indefinite or definite article (e.g., “a,” “one,” or “the”) is used when referring to a singular noun, this includes the plural form of the noun, unless otherwise expressly stated. It should be understood that the terms thus used are interchangeable where appropriate, and that embodiments of the invention described herein can operate in a different order than those described or illustrated herein.

Claims

1. A system (100) for image processing, comprising: The identification unit (102) and Compliance Unit (104). The identification unit (102) is configured to receive image data representing an intervention and to identify the interventional device (204) used in the intervention and the anatomical region (202) of the intervention based on the image data. The identification unit (102) is further configured to determine the intervention focus (200) based on the identified interventional device (204) and the identified anatomical region (202). The identification unit (102) is further configured to determine orientation parameters of the imaging device (300) that generates the image data; The compliance unit (104) is also configured to receive guidelines corresponding to the type of intervention; The compliance unit (104) is further configured to: determine a guide position parameter corresponding to the intervention focus based on the guide, compare the determined guide position parameter with the determined orientation parameter, and calculate the deviation between the guide position parameter and the orientation parameter; The compliance unit (104) is configured to generate a signal indicating a positioning difference when the calculated deviation exceeds a predefined threshold.

2. The system according to claim 1, in, The compliance unit (104) is configured to calculate optimized orientation parameters for the orientation (302) of the imaging device (300) such that the deviation is minimized.

3. The system according to claim 2, in, The compliance unit (104) is configured to generate command signals based on the optimized orientation parameters, and The command signal includes a command instructing the user (400) to adjust the imaging device (300) to minimize the deviation.

4. The system according to claim 2 or 3, in, The orientation parameters and / or the optimized orientation parameters are the geometric parameters and / or angular parameters of the imaging device (300) and / or the operating stage (304) of the imaging device (300).

5. The system according to any one of claims 1-3, in, The identification unit (102) is configured to identify the location (206) and / or orientation (208) of the interventional device (204) used in the intervention and depicted in the image data, and The determination of the intervention focus (200) is also based on the location (206) and / or orientation (208) of the intervention device (204).

6. The system according to any one of claims 1-3, in, The identification unit (102) is configured to identify anatomical elements (210) within the anatomical region (202) depicted in the image data and / or report and log data elements. The identification unit (102) is configured to determine the position (212) and / or orientation (214) of the anatomical element (210) in the image data and / or the report and log data elements. The determination of the intervention focus (200) is also based on the location (212) and / or orientation (214) of the anatomical element (210) depicted in the image data.

7. The system according to any one of claims 1-3, in, The identification unit (102) is configured to correlate the interventional device (204) with the anatomical region (202) by registering the fluorescence fluoroscopic image data of the intervention.

8. The system according to any one of claims 1-3, further comprising: The decision unit (106) is configured to statistically evaluate the result of the comparison between the predefined threshold and the orientation parameter.

9. The system according to claim 8, in, The decision unit (106) is configured to dynamically adjust the intervention focus (200) throughout the intervention process.

10. The system according to any one of claims 1-3, in, The system (100) includes an artificial intelligence (AI) module (108). The AI ​​module (108) is configured to identify the type of intervention based on analysis of the image data and / or analysis of log information.

11. The system according to claim 10, in, The compliance unit (104) is configured to adjust the predefined threshold based on the determined type of intervention.

12. A computer-implemented method (500), the method comprising the following steps: Receive image data indicating intervention; The interventional device used in the intervention and the anatomical region of the intervention are identified based on the image data. The intervention focus (S1) is determined based on the identified equipment and the identified anatomical region. When the image data is generated, the actual orientation parameter (S2) indicating the orientation (302) of the imaging device (300) is determined. Guidelines corresponding to the types of reception and intervention. Based on the guidelines, determine the guide position parameters corresponding to the intervention focus. The determined guide position parameters are compared with the determined orientation parameters (S3). Calculate (S4) the deviation between the guide position parameter and the orientation parameter, and, If the calculated deviation exceeds a predefined threshold, a signal (S5) indicating the positioning difference is generated.

13. A computer program product comprising a computer program that, when run on a processor, instructs the processor to perform the method according to claim 12.

14. An imaging device (300), comprising: The system (100) according to any one of claims 1 to 11 further includes a memory in which the computer program according to claim 13 is stored.

Images