Kymography support device, program, and kymography support method

The dynamic imaging support device identifies optimal dynamic analysis types using ultrasound examination, addressing inefficiencies in current protocols by reducing patient burden and workload through targeted imaging.

JP2025141013APending Publication Date: 2025-09-29KONICA MINOLTA INC
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Patent Information

Application Number
JP2024040724
Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-03-15
Publication Date
2025-09-29

AI Technical Summary

Technical Problem

Existing dynamic imaging protocols do not identify the optimal type of dynamic analysis based on a patient's condition or disease name, leading to increased processing load and burden on the patient.

Method used

A dynamic imaging support device and method that identifies the optimal type of dynamic analysis using ultrasound examination information, including patient condition and disease name, before dynamic imaging, thereby reducing the burden on the patient.

Benefits of technology

Enables identification of the optimal dynamic analysis type based on ultrasound examination, minimizing unnecessary imaging and analysis, reducing patient exposure and workload, and allowing for efficient, timely imaging.

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Abstract

To provide a kymography support device etc. capable of identifying a type of optimum dynamic analysis according to the symptom, the disease name, etc. of a patient without increase in a burden on the patient before kymography.SOLUTION: An imaging control device 3 comprises: an acquisition unit which acquires ultrasonography result information Ia obtained by ultrasonography of a subject S by an ultrasonic diagnostic apparatus 6 and disease name information Ib; and an identification unit which identifies the type and / or the imaging condition of dynamic analysis based on the ultrasonography result information Ia and the disease name information Ib acquired by the acquisition unit.SELECTED DRAWING: Figure 1
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Description

[Technical Field]

[0001] The present invention relates to a dynamic radiography support device, a program, and a dynamic radiography support method. [Background technology]

[0002] Clinical research into dynamic analysis using dynamic images such as X-rays is progressing, and it has become clear that dynamic analysis is useful for testing a variety of diseases. In current dynamic imaging protocols, imaging is performed uniformly, and all dynamic analysis processing is performed after imaging. Uniformity means that dynamic imaging is performed comprehensively under imaging conditions suitable for all dynamic analysis processing. With such protocols, if the number of types of dynamic analysis increases in the future, the processing load for dynamic analysis will also increase accordingly.

[0003] A technique for identifying the type of dynamic analysis is known from Patent Document 1. Patent Document 1 describes a dynamic analysis device that determines the type of dynamic analysis to apply to a dynamic image based on image-related information related to the dynamic image and setting information stored in a setting storage unit. The image-related information is one or more of the following information: frame rate, modality type, imaging region, imaging direction, medical department, diagnostic phase, etc. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Japanese Patent Application Publication No. 2022-147491 Summary of the Invention [Problem to be solved by the invention]

[0005] However, Patent Document 1 aims only to identify the type of dynamic analysis from image-related information, etc., and does not identify the type of dynamic analysis according to the patient's condition, disease name, etc. Therefore, it is unclear whether the type of dynamic analysis optimal for the patient's condition and disease name has been selected. In addition, in this case, dynamic imaging must be performed under imaging conditions according to the type of dynamic analysis, which increases the burden on the patient.

[0006] Therefore, in order to solve the above problems, the present invention aims to provide a dynamic imaging support device, program, and dynamic imaging support method that can identify the optimal type of dynamic analysis based on the patient's condition, disease name, etc. before dynamic imaging without increasing the burden on the patient. [Means for solving the problem]

[0007] The dynamic photography support device of the present invention comprises an acquisition unit that acquires ultrasound examination information obtained by ultrasound examination of a subject, and an identification unit that identifies dynamic photography information related to dynamic photography of the subject based on the ultrasound examination information acquired by the acquisition unit.

[0008] The program of the present invention causes a computer to function as an acquisition unit that acquires ultrasound examination information obtained by ultrasound examination of a subject, and an identification unit that identifies dynamic imaging information related to dynamic imaging of the subject based on the ultrasound examination information acquired by the acquisition unit.

[0009] The dynamic photography support method of the present invention includes an acquisition step of acquiring ultrasound examination information obtained by ultrasound examination of a subject, and an identification step of identifying dynamic photography information related to dynamic photography of the subject based on the acquired ultrasound examination information. [Effects of the Invention]

[0010] According to the present invention, dynamic imaging information relating to dynamic imaging of a subject is identified based on ultrasound examination information obtained by ultrasound examination before dynamic imaging, so that the type of dynamic analysis can be identified depending on the patient's condition, etc. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a diagram showing a schematic configuration of a radiation image capturing system according to an embodiment of the present invention; [Figure 2] FIG. 1 is a block diagram of an imaging control device according to the present embodiment. [Figure 3] FIG. 4 is a diagram illustrating an example of the configuration of a table stored in a storage unit according to the embodiment. [Figure 4] 10 is a flowchart showing an example of the operation of the dynamic photography support system when dynamic photography according to the present embodiment is performed. DETAILED DESCRIPTION OF THE INVENTION

[0012] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS A dynamic photography support device, a program, and a dynamic photography support method according to preferred embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings.

[0013] [Configuration example of dynamic photography support system 100] FIG. 1 is a diagram showing a schematic configuration of a dynamic radiography support system 100 according to this embodiment. The dynamic radiography support system 100 includes a radiation generator 1, a radiographic image capture device 2, an image capture control device 3 which is an example of a dynamic radiography support device, a dynamic analysis device 4, and an HIS / RIS 5. Hereinafter, the radiation generator 1 may be referred to as the generator 1, and the radiographic image capture device 2 may be referred to as the image capture device 2. HIS is an abbreviation for Hospital Information System, and is also called a hospital information system. RIS is an abbreviation for Radiology Information System, and is also called a radiology information system. Each device constituting the dynamic radiography support system 100 conforms to a standard, and communication between the devices is performed in accordance with DICOM. DICOM is an abbreviation for Digital Image and Communications in Medicine.

[0014] The generating device 1, the imaging device 2, the imaging control device 3, the dynamic analysis device 4, and the HIS / RIS 5 are communicatively connected via a network N. Examples of the network N include a LAN, a WAN, and the Internet. LAN is an abbreviation for Local Area Network. WAN is an abbreviation for Wide Area Network. When each device is located within a medical facility, for example, a LAN can be used. The communication method of the network N may be wired communication or wireless communication.

[0015] The generating device 1 includes a generator 11, an irradiation instruction switch 12, and a radiation source 13. Based on the operation of the irradiation instruction switch 12, the generator 11 applies a voltage according to preset imaging conditions to the radiation source 13, which includes, for example, a tube. The generator 11 may have an operation unit that accepts input of irradiation conditions, etc. When a voltage is applied from the generator 11, the radiation source 13 generates radiation R at a dose according to the applied voltage. The radiation R is, for example, X-rays.

[0016] The generator 1 generates radiation R in a manner corresponding to the type of radiographic image, for example, dynamic radiography. Dynamic radiography refers to obtaining a series of images of a subject S by repeatedly irradiating the subject S with pulsed radiation R, such as X-rays, at predetermined time intervals in response to a single radiography operation. Repeated irradiation of pulsed radiation at predetermined time intervals is called pulse irradiation. Alternatively, dynamic radiography refers to obtaining a series of images of the subject S by continuously irradiating the subject S with a low dose rate without interruption in response to a single radiography operation. Continuous irradiation of radiation without interruption is called continuous irradiation. A series of images obtained by dynamic radiography is called a dynamic image. Furthermore, each of the images constituting a dynamic image is called a frame image. Here, dynamic radiography includes video recording but does not include capturing still images while displaying the video. Furthermore, dynamic images include video, but do not include images obtained by capturing still images while displaying the video.

[0017] The imaging device 2 generates digital image data showing the imaging region of the subject S. For example, a portable FPD is used as the imaging device 2. FPD is an abbreviation for Flat Panel Detector. The imaging device 2 may be configured integrally with the generating device 1.

[0018] Although not shown, the imaging device 2 includes, for example, an imaging element, a sensor substrate, a scanning unit, a readout unit, a control unit, and a communication unit. The imaging element generates an electric charge according to the dose when exposed to radiation R. The sensor substrate has switch elements arranged two-dimensionally (in a matrix) that accumulate and release electric charge. The scanning unit switches each switch element on / off. The readout unit reads out the amount of electric charge released from each pixel as a signal value. The control unit generates image data of the radiation image from the multiple signal values ​​read out by the readout unit. The image data includes dynamic image data. The communication unit transmits the generated image data and various signals to other devices such as the imaging control device 3, and receives various information and signals from other devices.

[0019] The imaging control device 3 sets imaging conditions for the generator 1 and the imaging device 2, etc., and controls the reading operation of the radiographic image captured by the imaging device 2, etc. As will be described later, the imaging control device 3 identifies the optimal type of dynamic analysis before performing dynamic imaging using the examination results from the ultrasound diagnostic device 6. The imaging control device 3 is also called a console and is composed of, for example, a personal computer, etc. The imaging control device 3 may automatically set imaging conditions based on order information transmitted from the HIS / RIS 5, etc. A user, such as a radiologist, may manually set the imaging conditions by operating the operation unit 31, which will be described later. Examples of imaging conditions include patient conditions related to the subject S, irradiation conditions related to the irradiation of radiation R, and image reading conditions related to the image reading of the imaging device 2. Examples of patient conditions include the imaging region, imaging direction, and physique. Examples of irradiation conditions include tube voltage (kV), tube current (mA), irradiation time (ms), and current-time product (mAs value). Examples of image reading conditions include pixel size, image size, and frame rate.

[0020] In this embodiment, at least one of ultrasound examination result information Ia and disease name information Ib is supplied to the imaging control device 3. The ultrasound examination result information Ia includes the examination results of a doctor, radiologist, or the like diagnosing an ultrasound image obtained by the ultrasound diagnostic device 6. The disease name information Ib includes the name of a disease estimated from the examination results of the ultrasound image. For example, when the ultrasound diagnostic device 6 is not connected to the network N, the ultrasound examination result information Ia, etc. is input by, for example, a doctor or the like from the operation unit 31, etc. of the imaging control device 3. When the ultrasound diagnostic device 6 is connected to the network N, the ultrasound examination result information Ia, etc. is transmitted from the ultrasound diagnostic device 6 via the network N.

[0021] The dynamic analysis device 4 performs a predetermined dynamic analysis process on the dynamic images captured by the imaging device 2. Examples of types of dynamic analysis include chest bone attenuation processing (BS mode), specific component tracking processing (DM mode), frequency emphasis processing (FE mode), and lung tissue movement detection processing (LM mode). Other types of dynamic analysis include reference frame ratio calculation processing (PL mode), reference frame ratio calculation processing 2 (PL2 mode), cross-correlation calculation processing (PH mode), cross-correlation calculation processing 2 (PH2 mode), and airway diameter measurement (TD mode). The types of dynamic analysis listed in this embodiment are merely examples, and other dynamic analyses and dynamic analyses developed in the future can be added as appropriate. In the following description, chest bone attenuation processing may be referred to as BS mode, specific component tracking processing may be referred to as DM mode, frequency emphasis processing may be referred to as FE mode, and lung tissue movement detection processing may be referred to as LM mode. In addition, the reference frame ratio calculation process may be called PL mode, the reference frame ratio calculation process 2 may be called PL2 mode, the cross-correlation calculation process may be called PH mode, the cross-correlation calculation process 2 may be called PH2 mode, and the airway diameter measurement may be called TD mode.

[0022] BS mode attenuates signals corresponding to the clavicle and ribs within the lung field. DM mode tracks the vertical movement of the lung apex and diaphragmatic ridge and quantifies the amount of vertical movement of the lung apex and diaphragmatic ridge. FE mode emphasizes the movement of structures with specific frequencies (pulmonary tissue). LM mode tracks signal value patterns, including vascular shadows within the lung field, measures the amount of movement of each region associated with breathing, and displays the movement trend in color or vectors of the amount of movement of each region associated with breathing relative to the maximum inspiration frame. PL mode extracts signal changes due to lung tissue behavior associated with breathing from the original image (raw image) and visualizes signal changes from the maximum expiration position. PL2 mode, compared to PL mode, is capable of expressing signal changes due to minute breathing-related lung tissue behavior. PH mode extracts signal changes within the lung field synchronized with the heartbeat from the original image and visualizes the signal changes synchronized with the heartbeat. PH2 mode is a process that visualizes the amount of change in high-frequency signals in the lung field synchronized with the heartbeat (≒change in blood flow volume), and compared to PH mode, it can express minute changes in blood flow. TD mode extracts the tracheal wall, measures changes in tracheal diameter with breathing, and automatically measures the changes in tracheal diameter. It is a process that displays the maximum and minimum diameters. Note that while the above-mentioned dynamic imaging modes have been explained as examples in which the lungs are used as the imaging area, imaging areas other than the lungs, such as plastic surgery, can also be used.

[0023] The HIS / RIS 5 transmits order information to the imaging control device 3. The order information includes various information such as patient information, imaging type, imaging region, imaging direction, medical department, imaging purpose, etc. The patient information includes, for example, patient ID, patient name, sex, age, presence or absence of disease, etc. The imaging type includes, for example, dynamic imaging and still images.

[0024] [Example of block diagram of imaging control device 3] 2 is a block diagram of the imaging control device 3 according to this embodiment. The imaging control device 3 includes a control unit 30, an operation unit 31, a display unit 32, a storage unit 33, and a communication unit 34. The control unit 30, the operation unit 31, the display unit 32, the storage unit 33, and the communication unit 34 are communicatively connected via wiring such as a bus 35.

[0025] The control unit 30 includes, for example, a processor such as a CPU and a memory. CPU is an abbreviation for Central Processing Unit. The control unit 30 performs processes such as dynamic image capture and still image capture by executing a program P stored in, for example, a memory such as RAM or the storage unit 33. RAM is an abbreviation for Random Access Memory. The control unit 30 may include electronic circuits such as ASIC and FPGA. ASIC is an abbreviation for Application Specific Integrated Circuit. FPGA is an abbreviation for Field Programmable Gate Array.

[0026] The control unit 30 functions as an acquisition unit, a determination unit, and an imaging control unit. The control unit 30 executes a program P stored in the storage unit 33 or the like to realize the functions of the acquisition unit, determination unit, and imaging control unit. In this embodiment, an ultrasound examination is performed on a patient using an ultrasound diagnostic device 6 before dynamic imaging. A doctor, radiologist, or the like diagnoses the patient's condition, disease name, etc. based on ultrasound images of the subject S acquired by the ultrasound examination, and supplies ultrasound examination information including the condition, disease name, etc. to the imaging control device 3. The ultrasound examination information includes at least one of the ultrasound examination result information Ia and disease name information Ib described above. The acquisition unit of the control unit 30 acquires ultrasound examination information including the patient's condition, disease name, etc. obtained by ultrasound examination of the subject S using the ultrasound diagnostic device 6. The determination unit identifies dynamic imaging information related to dynamic imaging of the subject S based on the ultrasound examination information acquired by the acquisition unit. The ultrasound examination information includes at least one of the type of dynamic analysis and imaging conditions. Specifically, the determination unit identifies the type of dynamic analysis based on the ultrasound examination information acquired by the acquisition unit. Next, the specifying unit specifies imaging conditions including imaging time, frame rate, etc. based on the specified type of dynamic analysis. The imaging control unit executes dynamic imaging based on the imaging conditions, etc. specified by the specifying unit.

[0027] The operation unit 31 receives instructions in response to various input operations from the user, converts the received instructions into operation signals, and outputs the signals to the control unit 30. The operation unit 31 includes, for example, a mouse, a keyboard, switches, buttons, etc. The operation unit 31 may be, for example, a touch panel integrally combined with a display, or a user interface that receives voice input from a microphone or the like.

[0028] The display unit 32 displays a radiographic image based on image data received from the imaging device 2 and a GUI for accepting various input operations from the user. GUI is an abbreviation for Graphical User Interface. The display unit 32 is, for example, a display such as a liquid crystal display or an organic EL display. EL is an abbreviation for Electro Luminescence.

[0029] The memory unit 33 stores, for example, system programs, application programs, various data, etc. Specifically, the memory unit 33 stores a program P for realizing processes such as dynamic imaging and still image imaging. The memory unit 33 stores a table T for identifying the optimal type of dynamic analysis from the input ultrasound examination information and disease name information. Details of the table T will be described later. The memory unit 33 includes any memory module, for example, an HDD, an SSD, a ROM, and a RAM. HDD is an abbreviation for Hard Disk Drive. SSD is an abbreviation for Solid State Drive. ROM is an abbreviation for Read Only Memory.

[0030] The communication unit 34 includes, for example, a communication module including a NIC, a receiver, and a transmitter. NIC is an abbreviation for Network Interface Card. The communication unit 34 communicates various data such as image data with the generation device 1, the imaging device 2, the dynamic analysis device 4, etc. via the network N.

[0031] [Table T configuration example] 3 is a diagram showing an example of the configuration of table T stored in storage unit 33 according to this embodiment. In FIG. 3, "A" indicates the type of dynamic analysis performed by dynamic analysis device 4, and "B" indicates the type of dynamic analysis not performed by dynamic analysis device 4.

[0032] Table T stores ultrasound examination result information Ia, disease name information Ib, and dynamic analysis information Ic in association with each other. The ultrasound examination result information Ia and disease name information Ib may be combined into a single examination result information. The dynamic analysis information Ic includes the examination results diagnosed by ultrasound examination and the type of dynamic analysis (dynamic analysis mode) that is optimal for observing and diagnosing the disease name.

[0033] Specifically, when the ultrasound examination result information Ia indicates "ultrasound examination not performed," it is not possible to obtain the patient's condition, disease name, etc., using a non-invasive examination method before dynamic imaging. In such a case, the dynamic analysis information Ic must consider all possible conditions, disease names, etc., and therefore corresponds to all types of dynamic analysis. The dynamic analysis device 4 performs all types of dynamic analysis processing shown in FIG. 3.

[0034] If the ultrasound examination result information Ia indicates "pleural effusion in the lungs," then "lung cancer, pneumonia, pleurisy," etc., are associated with the disease name information Ib. If the disease name information Ib indicates "lung cancer, pneumonia, pleurisy," then "FE mode, LM mode, PL2 mode, PH2 mode," for example, are associated with the dynamic analysis information Ic optimal for diagnosing these diseases. These modes, for example, enable observation of the positional relationship between the chest wall and vascular shadows during breathing, as well as visualization and quantification of ventilation and blood flow distribution. As a result, the amount and location of water, etc., present in the lungs can be accurately diagnosed. In this case, the dynamic analysis device 4 performs dynamic analysis processing in the FE mode, LM mode, PL2 mode, and PH2 mode.

[0035] If the ultrasound examination result information Ia indicates "part of the Achilles tendon is difficult to see," then "Achilles tendon rupture, inflammation," or the like, is associated as disease name information Ib. If the disease name information Ib indicates "Achilles tendon rupture, inflammation," then "FE mode," for example, is associated as dynamic analysis information Ic that is optimal for diagnosing these diseases. FE mode, for example, allows for individual emphasis of spatial frequency bands with different characteristics within an image, making it possible to accurately observe changes in the Achilles tendon itself as it moves. In this case, the dynamic analysis device 4 only performs dynamic analysis processing in FE mode.

[0036] [Example of operation of the imaging control device 3] 4 is a flowchart showing an example of the operation of the dynamic radiography support system 100 when performing dynamic radiography according to this embodiment. The control unit 30 of the radiography control device 3 executes programs P and the like stored in the storage unit 33 to realize processes related to dynamic radiography, such as an acquisition step, a specification step, and a radiography control step. Similarly, the control unit (not shown) of the dynamic analysis device 4 executes predetermined programs to realize processes related to dynamic analysis.

[0037] The control unit 30 of the imaging control device 3 acquires at least one of ultrasound examination result information Ia and disease name information Ib (step S1). For example, a doctor, a radiologist, or the like performs an ultrasound examination. The doctor, or the like may determine the patient's symptoms using ultrasound images obtained by the ultrasound examination and input ultrasound examination result information Ia indicating the examination results from the operation unit 31, or the like. The doctor, or the like may estimate the name of a disease from the ultrasound images obtained by the ultrasound examination and the patient's symptoms and input disease name information Ib including the estimated name of the disease from the operation unit 31, or the like. The doctor, or the like may input both the ultrasound examination result information Ia and the disease name information Ib from the operation unit 31, or the like. If the ultrasound diagnostic device 6 is connected to a network N, the control unit 30 may acquire at least one of the ultrasound examination result information Ia and the disease name information Ib from the ultrasound diagnostic device 6 via the network N.

[0038] The control unit 30 identifies dynamic analysis information Ic including the type of dynamic analysis that is optimal for the patient's condition and disease name based on at least one of the acquired ultrasound examination result information Ia and disease name information Ib (step S2). For example, when the control unit 30 acquires the ultrasound examination result information Ia, it refers to Table T to acquire the dynamic analysis information Ic associated with the ultrasound examination result information Ia. Similarly, when the control unit 30 acquires the disease name information Ib, it refers to Table T to acquire the dynamic analysis information Ic associated with the disease name information Ib.

[0039] The dynamic analysis information Ic may be identified using a method other than the table T. For example, a trained model created by machine learning or deep learning, which is a type of machine learning, may be used. In this case, the control unit 30 inputs at least one of the ultrasound examination result information Ia and the disease name information Ib into the trained model, and obtains the dynamic analysis information Ic including the optimal type of dynamic analysis as the output result of the trained model. The process of identifying the dynamic analysis information Ic may be performed on the dynamic analysis device 4 side.

[0040] The control unit 30 sets imaging conditions based on the acquired dynamic analysis information Ic, etc. (step S3). For example, the control unit 30 acquires imaging conditions such as a frame rate, imaging time, imaging dose, etc. that are set in advance for the acquired dynamic analysis information Ic. The imaging conditions may include the patient's breathing method during dynamic imaging. A radiologist or the like may input, via the operation unit 31, imaging conditions that are optimal for implementing the dynamic analysis information Ic based on the acquired ultrasound examination. The control unit 30 may set imaging conditions based on the order information transmitted from the HIS / RIS 5 and the acquired dynamic analysis information Ic.

[0041] A user such as a radiologist guides a patient, who is the subject S, between the radiation source 13 of the generator 1 and the imaging device 2, and positions the patient according to the imaging region and imaging direction, etc. Once positioning is complete, the user turns on the irradiation instruction switch 12. When the user turns on the irradiation instruction switch 12, the generator 1 irradiates the imaging region of the subject S with radiation R based on the set imaging conditions.

[0042] The imaging device 2 captures the dynamics of the imaging region at the timing of receiving the radiation R from the generator 1 based on the set imaging conditions, and generates a dynamic image consisting of a plurality of frame images. The imaging device 2 transmits the generated dynamic image data to the imaging control device 3. The imaging control device 3 acquires the dynamic image data captured under the imaging conditions set based on the dynamic analysis information Ic from the imaging device 2 (step S4).

[0043] After performing predetermined processing on the dynamic image data, the control unit 30 transmits the dynamic image data and accompanying information to the dynamic analysis device 4 via the network N (step S5). The accompanying information includes, for example, an identification ID, patient information, and examination information. The examination information includes, for example, the imaging region, imaging direction, radiation irradiation conditions, image reading conditions, frame number, medical department, and dynamic analysis information Ic indicating the type of dynamic analysis.

[0044] The dynamic analysis device 4 receives dynamic image data and accompanying information from the imaging control device 3. The dynamic analysis device 4 performs dynamic analysis on the received dynamic image data, which is included in the dynamic analysis information Ic of the accompanying information (step S6). The dynamic analysis device 4 transmits the dynamic analysis results obtained through the analysis to a PACS (not shown), a client terminal, or the like, via the network N (step S7). PACS is an abbreviation for Picture Archiving and Communication System, and refers to a medical image management system. In this embodiment, dynamic imaging and dynamic analysis processing are performed through this series of processes.

[0045] Note that the number of dynamic analysis types (dynamic analysis modes) is expected to increase in the future because they are useful for examining various diseases. In this case, in the above-mentioned Table T, it is necessary to associate the newly added dynamic analysis types with ultrasound examination results and disease names predicted from the ultrasound examination results. If the number of added dynamic analysis types is small, the user may perform this task manually. However, if the number of added dynamic analysis types is large, the association process may be burdensome for the user. Therefore, for example, a trained model created by machine learning or deep learning, a type of machine learning, may be used to perform a process of associating the newly added dynamic analysis types with ultrasound examination results and disease names. Specifically, the imaging control device 3 inputs the added dynamic analysis types into the trained model and obtains, as output results from the trained model, ultrasound examination results and disease names for which the added dynamic analysis is useful. The imaging control device 3 associates the new dynamic analysis types with the acquired ultrasound examination results and disease names in Table T and saves them. This allows the data in Table T to be automatically updated even if the number of dynamic analysis types increases.

[0046] In this embodiment, an ultrasound examination is performed using the ultrasound diagnostic device 6 before dynamic imaging to obtain ultrasound images of the patient. The imaging control device 3 identifies dynamic analysis information Ic that is optimal for observing the patient's condition and disease name based on ultrasound examination result information Ia, which includes the patient's condition diagnosed by the ultrasound examination, and disease name information Ib, which includes the disease name. Furthermore, the imaging control device 3 sets imaging conditions corresponding to the type of dynamic analysis based on the identified dynamic analysis information Ic. This allows for the elimination of types of dynamic analysis that are unnecessary before dynamic imaging, thereby narrowing down the imaging conditions. As a result, breathing techniques, exposure doses, positioning changes, and the like during dynamic imaging can be minimized, reducing the burden on the patient during the examination. Furthermore, for doctors, radiologists, and others, unnecessary dynamic imaging and dynamic analysis processing can be avoided, reducing the workload.

[0047] According to this embodiment, by performing a non-invasive ultrasound examination before dynamic imaging, ultrasound examination result information Ia, etc., including the patient's condition, etc., is acquired, and the type of dynamic analysis optimal for observing the condition, etc., is identified. This reduces the patient's risk of exposure to radiation, the risk of re-imaging, etc., and reduces the burden on the patient during dynamic imaging. Furthermore, according to this embodiment, since the ultrasound diagnostic device 6 is used, a patient can be examined in advance, for example, at home or in an ambulance, before dynamic imaging at a medical facility. This allows dynamic imaging to be performed quickly at a medical facility, preventing delays in patient treatment.

[0048] It should be noted that the embodiments of the present disclosure are not limited to the above-described embodiments, and various modifications are possible within the scope of the gist of the present disclosure. Furthermore, the effects described in this specification are merely examples and are not intended to be limiting, and other effects may also be obtained.

[0049] For example, in the above-described embodiment, the dynamic analysis information Ic is identified from the ultrasound examination result information Ia and disease name information Ib, and the imaging conditions are identified from the dynamic analysis information Ic, but this is not limiting. The control unit 30 of the imaging control device 3 may identify the imaging conditions for dynamic imaging from the ultrasound examination result information Ia and disease name information Ib. In this case, too, by obtaining the patient's condition, disease name, etc. through an ultrasound examination before dynamic imaging, it is possible to narrow down the imaging conditions to the minimum necessary for dynamic imaging to observe the condition, etc.

[0050] Furthermore, the control unit 30 of the imaging control device 3 may display the identified dynamic analysis information Ic and imaging conditions on the screen of the display unit 32. A user such as a radiologist can check whether the type of dynamic analysis and imaging conditions suitable for imaging have been selected before dynamic imaging. This allows a user such as a radiologist to add or modify the type of dynamic analysis and imaging conditions while checking the characteristics of the actual patient. [Explanation of symbols]

[0051] 3. Shooting control device (dynamic shooting support device) 6. Ultrasound diagnostic equipment 30 control unit (acquisition unit, identification unit, photography control unit) Ia Ultrasound examination result information (ultrasound examination information) Ib Disease name information (ultrasound examination information) Ic Dynamic analysis information (dynamic imaging information) S Subject

Claims

1. an acquisition unit that acquires ultrasound examination information obtained by ultrasound examination of a subject; an identification unit that identifies dynamic imaging information related to dynamic imaging of the subject based on the ultrasound examination information acquired by the acquisition unit; A dynamic photography support device comprising:

2. The dynamic imaging information includes at least one of a type of dynamic analysis of the dynamic image obtained by the dynamic imaging and imaging conditions at the time of the dynamic imaging. The dynamic photography support device according to claim 1.

3. The ultrasound examination information includes at least one of the condition and the name of the disease of the subject. The dynamic photography support device according to claim 1.

4. the specifying unit specifies the type of the dynamic analysis based on the ultrasound examination information acquired by the acquiring unit, and specifies the imaging conditions based on the specified type of the dynamic analysis. The dynamic photography support device according to claim 2.

5. an imaging control unit that executes the dynamic imaging based on the dynamic imaging information identified by the identification unit; The dynamic photography support device according to claim 1.

6. Computer, an acquisition unit that acquires ultrasound examination information obtained by ultrasound examination of the subject; an identification unit that identifies dynamic imaging information related to dynamic imaging of the subject based on the ultrasound examination information acquired by the acquisition unit; A program to function as a

7. an acquisition step of acquiring ultrasound examination information obtained by ultrasound examination of the subject; a specifying step of specifying dynamic imaging information related to dynamic imaging of the subject based on the acquired ultrasound examination information; A dynamic photography support method comprising:

Citation Information

Patent Citations

  • Dynamic analysis device and program

    JP2022147491A