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KR-20260064393-A - Method, device and system for determining suitability for medical imaging based on artificial intelligence

KR20260064393AKR 20260064393 AKR20260064393 AKR 20260064393AKR-20260064393-A

Abstract

An artificial intelligence-based method, apparatus, and system for determining suitability for medical imaging are disclosed. An artificial intelligence-based method for determining suitability for medical imaging according to at least one of the various embodiments of the present disclosure may comprise: acquiring medical image data from an imaging device; selecting a standard imaging guideline regarding the acquired medical image data; analyzing the suitability of the acquired medical image data according to the selected standard imaging guideline; and generating and transmitting data of the suitability analysis result of the medical image data.

Inventors

  • 원창덕

Assignees

  • 가톨릭대학교 산학협력단

Dates

Publication Date
20260507
Application Date
20241031

Claims (20)

  1. In an artificial intelligence-based method for determining medical imaging suitability performed by a device processor, A step of acquiring medical image data from a shooting device; A step of selecting standard shooting guidelines regarding the medical image data acquired above; A step of analyzing the suitability of the acquired medical image data according to the selected standard shooting guidelines; and A method comprising the step of generating and transmitting suitability analysis result data of the medical imaging data, method.
  2. In claim 1, The above suitability analysis result further includes a step of determining whether re-photography is required. method.
  3. In claim 2, The step of determining whether the above suitability analysis results require re-촬영 is: A step comprising identifying shooting problems based on the suitability analysis result from the medical imaging data, method.
  4. In claim 3, The step of determining whether the above suitability analysis results require re-촬영 is: Transmitting a signal including re-shooting recommendation data for at least one data related to the shooting problem of the medical imaging data identified above, method.
  5. In claim 4, The above signal includes, Reference data including shooting problems based on the above suitability analysis results and improvements for improving the above shooting problems, method.
  6. In claim 5, The above medical imaging data includes, at least one of text, audio, still images and video, method.
  7. In claim 6, The above standard shooting guidelines are, Includes details regarding medical imaging methods linked by pre-defining the imaging determined based on the diagnostic results of the target patient. method.
  8. In claim 7, The above standard shooting guidelines include, A parameter including at least one of the shooting site, patient position, shooting angle with respect to the affected area, lighting conditions, and resolution, method.
  9. In claim 8, The step of analyzing the suitability of the acquired medical image data according to the selected standard shooting guidelines is: Setting and detecting a region of interest in the medical image data acquired above, and analyzing the size and location of the detected region of interest, method.
  10. In claim 9, The step of analyzing the suitability of the acquired medical image data according to the selected standard shooting guidelines is: Analyzing at least one of brightness, contrast, and noise levels for the above-mentioned region of interest to identify anatomical structures included in the said region of interest and performing a suitability judgment, method.
  11. In an artificial intelligence-based medical imaging suitability determination device, Memory; and It includes a processor that communicates with the above memory to exchange data, The above processor is, Acquiring medical image data from a shooting device, selecting standard shooting guidelines regarding the acquired medical image data, analyzing the suitability of the acquired medical image data according to the selected standard shooting guidelines, and generating and transmitting suitability analysis result data of the medical image data. device.
  12. In claim 11, The above processor is, Determining whether the above suitability analysis results require re-촬영, device.
  13. In claim 12, The above processor is, Identifying shooting problems based on the suitability analysis results from the medical imaging data and determining whether the suitability analysis results require re-shooting, device.
  14. In claim 13, The above processor is, Transmitting a signal including re-shooting recommendation data for at least one data related to the shooting problem of the medical imaging data identified above, device.
  15. In claim 14, The above signal includes, Reference data including shooting problems based on the above suitability analysis results and improvements for improving the above shooting problems, device.
  16. In claim 15, The above medical imaging data includes, at least one of text, audio, still images and video, device.
  17. In claim 16, The above standard shooting guidelines are, Includes details regarding medical imaging methods linked by pre-defining the imaging determined based on the diagnostic results of the target patient. device.
  18. In claim 17, The above standard shooting guidelines include, A parameter including at least one of the shooting site, patient position, shooting angle with respect to the affected area, lighting conditions, and resolution, device.
  19. In claim 18, The above processor is, Setting and detecting a region of interest in the medical image data acquired above, and analyzing the size and location of the detected region of interest, device.
  20. In claim 19, The above processor is, Analyzing at least one of brightness, contrast, and noise levels for the above-mentioned region of interest to identify anatomical structures included in the said region of interest and performing a suitability judgment, device.

Description

Method, device and system for determining suitability for medical imaging based on artificial intelligence The present disclosure relates to medical imaging, and more specifically, to a method, apparatus, and system for automatically determining whether a medical image captured using artificial intelligence conforms to predefined standard imaging guidelines and determining the suitability thereof. Medical imaging plays an essential role in the medical field, including disease diagnosis, treatment planning, and evaluation of treatment effectiveness. Therefore, the quality of captured images is a critical factor directly linked to patient health and safety. Currently, medical imaging relies heavily on the skill and experience of the operator. While skilled operators can acquire high-quality images by adhering to standard shooting guidelines, novice or inexperienced operators may fail to perfectly follow these guidelines, potentially requiring re-imaging. Re-imaging results in the waste of medical resources by increasing unnecessary radiation exposure to patients and raising imaging time and costs. Furthermore, improperly captured images can impair diagnostic accuracy and negatively impact patient treatment. Therefore, there is an urgent need to develop a system that objectively determines whether captured medical images comply with standard guidelines and provides immediate feedback to the photographer when necessary to minimize re-imaging. FIG. 1 is a schematic diagram of an artificial intelligence-based medical imaging suitability determination system according to one embodiment of the present disclosure. Figure 2 is a configuration block diagram of the computing device of Figure 1. FIGS. 3 to 7 are drawings illustrating standard guidelines for determining suitability for medical imaging based on artificial intelligence technology according to an embodiment of the present disclosure. FIGS. 8 and 9 are flowcharts illustrated to explain the AI-based medical imaging suitability judgment based on AI technology according to an embodiment of the present disclosure. FIGS. 10 and 11 are drawings illustrating an example of a user interface (UI) screen configuration provided through a platform according to an embodiment of the present disclosure. Throughout this disclosure, the same reference numerals denote the same components. This disclosure does not describe all elements of the embodiments, and general content in the art to which this disclosure pertains or content that overlaps between embodiments is omitted. The terms 'part, module, component, block' as used in the specification may be implemented in software or hardware, and depending on the embodiments, a plurality of 'parts, modules, components, blocks' may be implemented as a single component, or a single 'part, module, component, block' may include a plurality of components. Throughout the specification, when a part is described as being "connected" to another part, this includes not only cases where they are directly connected but also cases where they are indirectly connected, and indirect connections include connections made via a wireless communication network. Furthermore, when it is stated that a part "includes" a certain component, this means that, unless specifically stated otherwise, it does not exclude other components but may include additional components. Throughout the specification, when it is stated that a component is located "on" another component, this includes not only cases where a component is in contact with another component, but also cases where another component exists between the two components. Terms such as "first," "second," etc., are used to distinguish one component from another, and the components are not limited by the aforementioned terms. Singular expressions include plural expressions unless there is an obvious exception in the context. In each step, identification codes are used for convenience of explanation and do not describe the order of the steps; the steps may be performed differently from the specified order unless a specific order is clearly indicated in the context. The operating principles and embodiments of the present disclosure will be described below with reference to the attached drawings. In this specification, the term "device according to the present disclosure" includes all various devices capable of performing computational processing and providing results to a user. For example, the device according to the present disclosure may include all of a computer, a server device, and a portable terminal, or may be in the form of any one of these. Here, the computer may include, for example, a notebook, desktop, laptop, tablet PC, slate PC, etc. equipped with a web browser. The above server device is a server that processes information by communicating with an external device, and may include an application server, a computing server, a database server, a file server, a game server, a mail server, a proxy se