Medical imaging diagnostic equipment

The medical image diagnostic apparatus addresses the inefficiency in identifying abnormal slices by using preparatory images and findings to set and image the main region, thereby reducing the time required for slice identification.

JP2026096800APending Publication Date: 2026-06-15CANON MEDICAL SYST CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
CANON MEDICAL SYST CORP
Filing Date
2024-12-03
Publication Date
2026-06-15

AI Technical Summary

Technical Problem

The existing medical imaging diagnostic process requires a long time to identify abnormal slices due to the wide setting of the main imaging area to include the suspected part and its periphery, resulting in extensive image analysis.

Method used

A medical image diagnostic apparatus with an acquisition unit, setting unit, identification unit, imaging control unit, and output unit that utilizes preparatory images and findings information to set and identify the main imaging region, perform imaging, and output abnormal slice information, thereby reducing the time required to specify abnormal slices.

🎯Benefits of technology

The apparatus efficiently identifies abnormal slices by utilizing preparatory images and findings information to set and image the main region, significantly shortening the time needed for slice identification.

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Abstract

To reduce the time required to identify abnormal slices. [Solution] The medical image diagnostic apparatus according to the embodiment comprises an acquisition unit, a setting unit, a identification unit, an imaging control unit, and an output unit. The acquisition unit acquires a preparation image and findings information obtained before the main imaging in the same image examination of the subject. The setting unit sets the main imaging region, which includes a plurality of slices to be imaged in the main imaging, based on the preparation image. The identification unit identifies the location of an abnormal slice among the plurality of slices included in the main imaging region, based on the preparation image and the findings information. The imaging control unit performs the main imaging and images the main imaging region. The output unit outputs the main imaging image obtained by the main imaging, with abnormal slice information regarding the location of the abnormal slice attached.
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Description

【Technical Field】 【0001】 The embodiments disclosed in this specification and the drawings relate to medical imaging diagnostic devices. 【Background Art】 【0002】 Conventionally, generally, the diagnostic process in a medical field is carried out in the order of conducting an interview and a physical examination on a subject, and then performing a diagnosis after conducting examinations such as an imaging examination as necessary. 【0003】 Here, in the interview and the physical examination, since there is a relationship between the painful part and the disease of the subject, by confirming the painful part of the subject, the suspected part of the disease is estimated. And usually, in an imaging examination, imaging is performed not only on the suspected part estimated by the interview and the physical examination but also on the periphery of the suspected part. 【0004】 Specifically, in an imaging examination, after preparatory imaging including imaging of positioning images is performed using a medical imaging diagnostic device, based on the preparatory imaging image captured in the preparatory imaging, the main imaging area including the suspected part and its periphery is set, and main imaging for imaging the main imaging area is performed. 【0005】 Thereafter, in an imaging examination, by searching for slices including abnormal parts from the main imaging images captured in the main imaging using a medical imaging diagnostic device or a film reading terminal device, abnormal slices are specified, and further, by confirming the findings obtained in the interview and the physical examination, a determination as to whether there is a problem with the imaging conditions, an additional imaging, or an end of the examination is made. 【0006】 Thus, usually, in an imaging examination, since the main imaging area is set wide to include the suspected part and its periphery, the main imaging images to be captured include a large number of slices. As a result, a long time is required to specify abnormal slices. 【0007】 Therefore, in the medical field, there is a need to shorten the time required to identify abnormal slices. [Prior art documents] [Patent Documents] 【0008】 [Patent Document 1] Patent No. 7399102 specification [Patent Document 2] Patent No. 5226974 specification [Patent Document 3] Japanese Patent Publication No. 2023-036292 [Patent Document 4] Japanese Patent Publication No. 2022-109733 [Patent Document 5] Japanese Patent Publication No. 2015-171456 [Patent Document 6] Japanese Patent Publication No. 2011-092681 [Overview of the Initiative] [Problems that the invention aims to solve] 【0009】 One of the problems that the embodiments disclosed herein and in the drawings aim to solve is to reduce the time required to identify abnormal slices. However, the problems that the embodiments disclosed herein and in the drawings aim to solve are not limited to the above problem. Problems corresponding to the effects of each configuration shown in the embodiments described later can also be positioned as other problems. [Means for solving the problem] 【0010】 The medical image diagnostic apparatus according to the embodiment comprises an acquisition unit, a setting unit, a identification unit, an imaging control unit, and an output unit. The acquisition unit acquires a preparation image and findings information obtained before the main imaging in the same image examination of the subject. The setting unit sets the main imaging region, which includes a plurality of slices to be imaged in the main imaging, based on the preparation image. The identification unit identifies the location of an abnormal slice among the plurality of slices included in the main imaging region, based on the preparation image and the findings information. The imaging control unit performs the main imaging and images the main imaging region. The output unit outputs the main imaging image obtained by the main imaging, with abnormal slice information regarding the location of the abnormal slice attached. [Brief explanation of the drawing] 【0011】 [Figure 1] Figure 1 shows an example configuration of a medical image processing system including a medical image diagnostic device according to the first embodiment. [Figure 2] Figure 2 shows an example of the configuration of a medical imaging diagnostic device according to the first embodiment. [Figure 3] Figure 3 shows an example of processing performed by each processing function of the processing circuit of the medical image diagnostic device according to the first embodiment. [Figure 4] Figure 4 shows Example 1 of a medical imaging diagnostic device according to the first embodiment. [Figure 5] Figure 5 shows an example 2 of the medical imaging diagnostic device according to the first embodiment. [Figure 6] Figure 6 shows Example 3 of the medical imaging diagnostic device according to the first embodiment. [Figure 7] Figure 7 shows Example 5 of the medical imaging diagnostic device according to the first embodiment. [Figure 8] Figure 8 shows an example 6 of the medical imaging diagnostic device according to the first embodiment. [Figure 9] Figure 9 shows Example 7 of the medical imaging diagnostic device according to the first embodiment. [Figure 10]FIG. 10 is a flowchart showing a processing procedure of processing performed by each processing function included in the processing circuit of the medical image diagnostic apparatus according to the first embodiment. 【Embodiments for Carrying Out the Invention】 【0012】 Hereinafter, embodiments of the medical image diagnostic apparatus according to the present application will be described in detail with reference to the drawings. 【0013】 (First Embodiment) FIG. 1 is a diagram showing a configuration example of a medical image processing system including a medical image diagnostic apparatus according to the first embodiment. 【0014】 For example, as shown in FIG. 1, the medical image processing system 100 includes a medical image diagnostic apparatus 110, a medical image management system (Picture Archiving and Communication System: PACS) 120, a radiology department information system (Radiology Information System: RIS) 130, a reading terminal device 140, and a reading report system 150. Here, each device and system is communicably connected to each other via a network 160 such as a wired network or a wireless network. 【0015】 The medical image diagnostic apparatus 110 images a subject and collects medical images. For example, the medical image diagnostic apparatus 110 is an MRI (Magnetic Resonance Imaging) apparatus, an X-ray CT (Computed Tomography) apparatus, a PET (Positron Emission Tomography)-CT apparatus, a SPECT (Single Photon Emission Computed Tomography)-CT apparatus, or the like. 【0016】 PACS120 stores various medical images related to the subject. Specifically, PACS120 acquires various medical images from the medical imaging diagnostic device 110 via the network 160 and stores the acquired medical images. In addition, PACS120 acquires findings information from the image interpretation terminal device 140 and the image interpretation report system 150 via the network 160, and stores the acquired findings information as supplementary information attached to the medical images on which the findings information is based. For example, PACS120 is implemented using computer equipment such as servers and workstations. 【0017】 RIS130 stores various types of medical information related to the patient. Specifically, RIS130 acquires medical images and findings obtained from imaging examinations of the patient from PACS120 via network 160, and stores the acquired medical images and findings. In addition, RIS130 receives input of test results and findings obtained from various tests such as blood tests from the operator, and stores the input test results and findings. For example, PACS120 is implemented using computer equipment such as servers and workstations. 【0018】 The image interpretation terminal 140 creates an image interpretation report and findings information regarding the subject. Specifically, the image interpretation terminal 140 acquires medical images from the medical imaging diagnostic device 110 or PACS 120 via the network 160 in response to a request from the operator, and displays the acquired medical images on the display. The image interpretation terminal 140 also receives input from the operator regarding the interpretation results of the medical images displayed on the display, and creates an image interpretation report based on the input interpretation results. The image interpretation terminal 140 also receives input from the operator regarding the findings of the medical images displayed on the display, and generates findings information based on the input findings. Finally, the image interpretation terminal 140 transmits the created image interpretation report and findings information to the image interpretation report system 150. For example, the image interpretation terminal 140 can be implemented using computer equipment such as a personal computer or a tablet terminal. 【0019】 The image interpretation report system 150 stores image interpretation reports and findings information related to the subject. Specifically, the image interpretation report system 150 receives image interpretation reports and findings information transmitted from the image interpretation terminal device 140 via the network 160 and stores the received image interpretation reports and findings information. For example, the image interpretation report system 150 is implemented using computer equipment such as a server or workstation. 【0020】 Figure 2 shows an example of the configuration of a medical imaging diagnostic device 110 according to the first embodiment. 【0021】 For example, as shown in Figure 1, the medical imaging diagnostic device 110 includes a network (NW) interface 111, a memory circuit 112, an input interface 113, a display 114, an imaging unit 115, and a processing circuit 116. 【0022】 The NW interface 111 controls the transmission and communication of various types of data sent and received between other devices connected via the network 160. Specifically, the NW interface 111 is connected to the processing circuit 116 and controls the transmission and communication of various types of data under the control of the processing circuit 116. For example, the NW interface 111 can be implemented by a network card, network adapter, NIC (Network Interface Controller), etc. 【0023】 The memory circuit 112 stores various data and programs. Specifically, the memory circuit 112 is connected to the processing circuit 116, and under the control of the processing circuit 116, it stores and reads various data and programs. For example, the memory circuit 112 can be implemented using semiconductor memory elements such as RAM (Random Access Memory) or flash memory, or a hard disk or optical disc. 【0024】 The input interface 113 receives various instructions and information input operations from the operator. Specifically, the input interface 113 is connected to the processing circuit 116 and converts the input operations received from the operator into electrical signals and outputs them to the processing circuit 116. For example, the input interface 113 can be implemented by a mouse, keyboard, touchpad that performs input operations by touching the operating surface, touchscreen that integrates a display screen and a touchpad, non-contact input circuit using an optical sensor, and audio input circuit. 【0025】 The display 114 displays various information and data. Specifically, the display 114 is connected to the processing circuit 116 and displays various information and data output from the processing circuit 116. For example, the display 114 can be implemented as an LCD monitor, a CRT (Cathode Ray Tube) monitor, a touch panel, etc. 【0026】 The imaging unit 115 generates various medical images by imaging the subject based on imaging conditions input by the operator. The imaging unit 115 then stores the generated medical images in the memory circuit 112. 【0027】 For example, if the medical imaging diagnostic device 110 is an MRI device, the imaging unit 115 includes a stand device that includes a static magnetic field magnet, gradient magnetic field coils, gradient magnetic field power supply, transmitting RF (Radio Frequency) coil, receiving RF coil, transmitting circuit, receiving circuit, etc., a patient bed device on which the subject is placed, and a processing circuit having an image reconstruction function, and collects magnetic resonance data from the subject to generate an MR image. 【0028】 Furthermore, for example, if the medical imaging diagnostic device 110 is an X-ray CT scanner, the imaging unit 115 includes a stand device that includes an X-ray tube, an X-ray detector, a rotating frame that arranges the X-ray tube and X-ray detector facing each other and moves them on a circumferential orbit, a DAS (Data Acquisition System), a patient bed device on which the patient is placed, and a processing circuit having an image reconstruction function, and detects the X-rays that have passed through the patient to generate a CT image. 【0029】 Furthermore, for example, if the medical imaging diagnostic device 110 is a PET-CT device, the imaging unit 115 includes a PET imaging unit configured to generate a PET image by detecting annihilation gamma rays simultaneously emitted in opposite directions from a radiopharmaceutical administered to a subject, and a CT imaging unit configured to generate a CT image by detecting X-rays transmitted through the subject, thereby generating a PET image, a CT image, and an image combining the PET image and the CT image. 【0030】 Furthermore, for example, if the medical imaging diagnostic device 110 is a SPECT-CT device, the imaging unit 115 includes a SPECT imaging unit configured to generate a SPECT image by detecting gamma rays emitted in one direction from a radiopharmaceutical administered to a subject, and a CT imaging unit configured to generate a CT image by detecting X-rays transmitted through the subject, thereby generating SPECT images, CT images, and images combining SPECT and CT images. 【0031】 The processing circuit 116 controls the medical imaging diagnostic device 110 by controlling each component of the medical imaging diagnostic device 110. Specifically, the processing circuit 116 displays a GUI (Graphical User Interface) on the display 114 to receive various instructions and information input operations from the operator, and controls each component of the medical imaging diagnostic device 110 in accordance with the input operations received via the input interface 113. For example, the processing circuit 116 receives input of imaging conditions from the operator and controls the imaging unit 115 based on the input imaging conditions to image the subject and generate a medical image. The processing circuit 116 also stores the generated medical image in the storage circuit 112, and reads the medical image stored in the storage circuit 112 and displays it on the display 114 in response to a request from the operator. 【0032】 The configuration examples of the medical image processing system 100 and medical image diagnostic device 110 according to this embodiment have been described above. The medical image processing system 100 and medical image diagnostic device 110 according to this embodiment are installed in medical facilities such as hospitals and clinics and used by doctors and other medical professionals for the diagnosis of various diseases. 【0033】 Generally, the diagnostic process in a medical setting involves taking a medical history and performing a physical examination on the subject, followed by imaging tests and other examinations as needed, before making a diagnosis. 【0034】 In this context, medical history and physical examination reveal a correlation between the location of pain and the disease. By identifying the location of pain in the subject, the suspected diseased area can be estimated. Typically, imaging tests are performed to capture not only the suspected area estimated through medical history and physical examination, but also the surrounding areas. 【0035】 Specifically, in imaging examinations, preparatory imaging, including the acquisition of positioning images, is performed using a medical imaging diagnostic device. Then, based on the preparatory imaging images acquired in the preparatory imaging, the main imaging area is set to include the suspected area and its surroundings, and the main imaging is performed to image this main imaging area. 【0036】 Subsequently, in the imaging examination, abnormal slices are identified by searching for slices containing abnormal areas within the images acquired during the main imaging using a medical imaging diagnostic device or image interpretation terminal device. Furthermore, by confirming the findings obtained from the medical history and physical examination, a decision is made as to whether there are any problems with the imaging conditions, and whether additional imaging is required or the examination is terminated. 【0037】 Thus, in typical imaging examinations, the imaging area is set to be broad to include the suspected area and its surroundings. As a result, the acquired image contains a large number of slices, and consequently, it takes a long time to identify abnormal slices. 【0038】 Therefore, in this embodiment, the medical image diagnostic device 110 is configured to shorten the time required to identify abnormal slices. 【0039】 Specifically, the processing circuit 116 of the medical image diagnostic device 110 has an acquisition function 116a, a setting function 116b, a specific function 116c, an imaging control function 116d, an output function 116e, and a display control function 116f. 【0040】 Here, the acquisition function 116a is an example of an acquisition unit. The setting function 116b is an example of a setting unit. The identification function 116c is an example of an identification unit. The imaging control function 116d is an example of an imaging control unit. The output function 116e is an example of an output unit. The display control function 116f is an example of a display control unit. 【0041】 The following describes in detail each processing function of the processing circuit 116 of the medical imaging diagnostic device 110. 【0042】 Figure 3 shows an example of processing performed by each processing function of the processing circuit 116 of the medical image diagnostic device 110 according to the first embodiment. 【0043】 The acquisition function 116a acquires preparatory images and findings information obtained before the main imaging in the same imaging examination of the subject to be diagnosed. 【0044】 For example, as shown in Figure 3(A), the acquisition function 116a acquires the preparation image 31, which was captured by the medical imaging diagnostic device 110 during the preparation imaging of the subject, from the memory circuit 112. Here, the preparation image is, for example, an image with lower resolution than the main image. Also, the preparation image is, for example, an image with a wider imaging range than the main image. 【0045】 Furthermore, the acquisition function 116a acquires findings obtained from interviews, physical examinations, and other tests of the subject from the RIS130, PACS120, image interpretation report system 150, etc. 【0046】 The setting function 116b sets the main imaging region, which includes multiple slices to be imaged in the main imaging, based on the preparation imaging image acquired by the acquisition function 116a. 【0047】 For example, as shown in Figure 3(B), the setting function 116b displays the subject's preparation image 31 on the display 114 and accepts an operation from the operator via the input interface 113 to specify the imaging range 32 for the main imaging on the displayed preparation image 31. The setting function 116b then sets the imaging range 32 specified by the operator as the main imaging area. 【0048】 Alternatively, the setting function 116b may automatically set the main imaging region from the preparation image. For example, the setting function 116b may set the main imaging region by inputting the preparation image of the subject to be diagnosed into a machine learning model that has been trained to take a preparation image of an arbitrary subject as input and estimate and output the main imaging region corresponding to the preparation image. Alternatively, the setting function 116b may extract characteristic parts from the preparation image of the subject using known image processing techniques such as segmentation processing and set the main imaging region based on the extracted parts. 【0049】 The identification function 116c identifies the location of an abnormal slice among multiple slices included in the main imaging region set by the setting function 116b, based on the preparation imaging image and findings information acquired by the acquisition function 116a. 【0050】 For example, as shown in Figure 3(B), the identification function 116c displays findings information obtained from interviews, physical examinations, and other tests on the subject on the display 114 (not shown in the figure), and accepts an operation from the operator via the input interface 113 to place a line 33 indicating the location of an abnormal slice on the prepared imaging image 31 displayed on the display 114 at the location of the suspected area indicated by the findings information. The identification function 116c then identifies the location of the line 33 placed by the operator as the location of the abnormal slice. 【0051】 Alternatively, the identification function 116c may automatically identify the location of abnormal slices from the prepared imaging images and findings information. For example, the identification function 116c may identify the location of abnormal slices by inputting the prepared imaging images and findings information of the subject to be diagnosed into a machine learning model that has been trained to take the prepared imaging images and findings information of an arbitrary subject as input and output the location of abnormal slices corresponding to the prepared imaging images and findings information, using machine learning techniques such as deep learning. In addition, for example, the setting function 116b may use known image processing techniques such as segmentation processing to extract suspected areas from the prepared imaging images of the subject that are estimated from the interview and physical examination included in the findings information, and identify the location of abnormal slices based on the extracted areas. 【0052】 The imaging control function 116d performs the main imaging and images the main imaging area set by the setting function 116b. 【0053】 Specifically, the imaging control function 116d controls the imaging unit 115 to capture the imaging region based on the imaging conditions input by the operator, thereby generating the captured image. 【0054】 The output function 116e outputs the captured image obtained by this imaging process, along with abnormal slice information regarding the location of the abnormal slice identified by the identification function 116c. 【0055】 For example, as shown in Figure 3(B), the output function 116e outputs abnormal slice information to the main image, including an image with slice lines indicating the location of the abnormal slice on the preparation image, a slice number (numerical value) that identifies the abnormal slice among multiple slices, the direction of the abnormal slice (left / right, up / down, front / back), and anatomical information of the abnormal area contained in the abnormal slice. 【0056】 The display control function 116f identifies an abnormal slice image from among multiple slice images included in the captured image based on the abnormal slice information output by the output function 116e, and initially displays the identified abnormal slice image on the display 114. 【0057】 For example, as shown in Figure 3(C), the display control function 116f identifies the image of the slice located at the position of the line 33 placed on the prepared image 31 by the operator, from among the multiple slice images included in the main image, based on the abnormal slice information. The display control function 116f then initially displays the identified image as the abnormal slice image 34 on the display 114. 【0058】 According to the configuration described above, the time required to identify abnormal slices can be shortened by identifying the location of abnormal slices based on the preparation image and findings information, and outputting the identified location of abnormal slices attached to the main image. 【0059】 The processing functions of the processing circuit 116 of the medical image diagnostic device 110 have been described above. The medical image diagnostic device 110 according to this embodiment can be applied to various image examinations depending on the disease, etc. In the following, specific application examples of the medical image diagnostic device 110 according to this embodiment will be described as examples. 【0060】 (Example 1) Example 1 is an example in which the medical image processing system 100 is an MRI device, a positioning image is used as the preparatory imaging image, and physical findings are used as the findings information. 【0061】 Figure 4 shows Example 1 of the medical imaging diagnostic device 110 according to the first embodiment. 【0062】 In this embodiment, the acquisition function 116a acquires a positioning image taken before the main imaging in the same imaging examination of the subject as a preparatory imaging image. For example, the acquisition function 116a acquires a positioning image taken during the preparatory imaging of the subject by the medical imaging diagnostic device 110 from the memory circuit 112. Alternatively, the acquisition function 116a may acquire a magnetic field adjustment image, a sensitivity map image, or the like, taken before the main imaging in the same imaging examination of the subject as a preparatory imaging image. 【0063】 For example, as shown in Figure 4(A), the acquisition function 116a acquires the coronal cross-sectional image 41, sagittal cross-sectional image 42, or axial cross-sectional image 43 that were acquired as positioning images during the preparatory imaging of the subject. 【0064】 Furthermore, the acquisition function 116a acquires physical findings obtained from interviews and physical examinations of the subject as findings information. For example, the acquisition function 116a acquires physical findings of the subject from the RIS 130, etc. For example, physical findings are information such as pain and swelling obtained by visual inspection, palpation, auscultation, percussion, etc. of the subject. Alternatively, physical findings may be information about the subject's body obtained by the person performing the imaging examination during the examination setting. 【0065】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the main imaging, based on the positioning image acquired by the acquisition function 116a. 【0066】 Furthermore, the specific function 116c identifies the location of an abnormal slice among multiple slices included in the imaging area set by the setting function 116b, based on the positioning image and physical findings acquired by the acquisition function 116a. 【0067】 For example, as shown in Figure 4(A), if the physical findings indicate that the patient complained of lower back pain during the interview, the specific function 116c receives an operation from the operator to place a line 44 at the location of the lower back on the coronal section image 41, sagittal section image 42, or axial section image 43. The specific function 116c then identifies the location of the line 44 placed by the operator as the location of the abnormal slice. 【0068】 Furthermore, the imaging control function 116d performs the main imaging and images the main imaging region set by the setting function 116b. 【0069】 The output function 116e then outputs the image captured by the main imaging process with the abnormal slice information identified by the identification function 116c attached. 【0070】 For example, as shown in Figure 4(B), the output function 116e outputs abnormal slice information to the captured image 45, including the slice number of the abnormal slice (e.g., XX), the direction of the abnormal slice (e.g., posterior), and anatomical information of the abnormal area included in the abnormal slice (e.g., lumbar region). 【0071】 (Example 2) Example 2 is an example in which the medical image processing system 100 is an X-ray CT scanner, a positioning image is used as the preparatory imaging image, and physical findings are used as the findings information. 【0072】 Figure 5 shows Example 2 of the medical imaging diagnostic device 110 according to the first embodiment. 【0073】 In this embodiment, the acquisition function 116a acquires a positioning image, which was captured before the main imaging in the same image examination of the subject, as a preparatory imaging image. For example, the acquisition function 116a acquires the positioning image captured in the preparatory imaging of the subject by the medical image diagnostic device 110 from the memory circuit 112. 【0074】 For example, as shown in Figure 5(A), the acquisition function 116a acquires the scan image 51, which is captured as a positioning image during the preparation imaging of the subject. 【0075】 Furthermore, the acquisition function 116a acquires physical findings obtained from interviews and physical examinations of the subject as findings information. For example, the acquisition function 116a acquires physical findings of the subject from the RIS130 or similar device. 【0076】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the main imaging, based on the positioning image acquired by the acquisition function 116a. 【0077】 For example, as shown in Figure 5(A), the setting function 116b accepts an operation from the operator to specify the imaging range 52 for the main imaging on the scan image 51. The setting function 116b then sets the imaging range 52 specified by the operator as the main imaging area. 【0078】 Furthermore, the specific function 116c identifies the location of an abnormal slice among multiple slices included in the imaging area set by the setting function 116b, based on the positioning image and physical findings acquired by the acquisition function 116a. 【0079】 For example, as shown in Figure 5(A), if the physical findings indicate a suspected fracture of the left rib, the specific function 116c receives an operation from the operator to place a line 53 on the scan image 51 at the location of the suspected fractured left rib. The specific function 116c then identifies the location of the line 53 placed by the operator as the location of the abnormal slice. 【0080】 Furthermore, the imaging control function 116d performs the main imaging and images the main imaging region set by the setting function 116b. 【0081】 The output function 116e then outputs the image captured by the main imaging process with the abnormal slice information identified by the identification function 116c attached. 【0082】 For example, as shown in Figure 5(B), the output function 116e outputs abnormal slice information to the captured image 54, including the slice number of the abnormal slice (e.g., XX), the direction of the abnormal slice (e.g., left), and anatomical information of the abnormal part included in the abnormal slice (e.g., XXth rib). 【0083】 (Example 3) Example 3 is an example in which the medical image processing system 100 is an X-ray CT scanner, a positioning image is used as the preparation image, and examination findings obtained from other image examinations are used as the findings information. 【0084】 Figure 6 shows Example 3 of the medical imaging diagnostic device 110 according to the first embodiment. 【0085】 In this embodiment, the acquisition function 116a acquires a positioning image, which was captured before the main imaging in the same image examination of the subject, as a preparatory imaging image. For example, the acquisition function 116a acquires the positioning image captured in the preparatory imaging of the subject by the medical image diagnostic device 110 from the memory circuit 112. 【0086】 For example, as shown in Figure 6(A), the acquisition function 116a acquires the scan image 61, which is captured as a positioning image during the preparation imaging of the subject. 【0087】 Furthermore, the acquisition function 116a acquires medical images captured by other medical imaging devices during other imaging examinations of the subject. For example, the acquisition function 116a acquires medical images of a similar cross-section to the positioning image captured in the current imaging examination. Here, the medical image may be the main image captured during the other imaging examination, or it may be a preparation image. 【0088】 For example, as shown in Figure 6(B), the acquisition function 116a acquires X-ray images taken by an X-ray diagnostic device during other imaging examinations of the subject. The acquisition function 116a may also acquire CT images taken by an X-ray CT device, MR images taken by an MRI device, PET images taken by a PET device, SPECT images taken by a SPECT device, ultrasound images taken by an ultrasound diagnostic device, etc., during other imaging examinations of the subject. 【0089】 Furthermore, the acquisition function 116a acquires examination findings obtained from other imaging examinations of the subject as finding information. For example, the acquisition function 116a acquires examination findings from supplementary information of medical images taken in other imaging examinations of the subject. Alternatively, for example, the acquisition function 116a may acquire examination findings obtained from other imaging examinations of the subject from the image interpretation report system 150, etc. 【0090】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the main imaging, based on the positioning image acquired by the acquisition function 116a. 【0091】 For example, as shown in Figure 6(A), the setting function 116b accepts an operation from the operator to specify the imaging range 62 for the main imaging on the scan image 61. The setting function 116b then sets the imaging range 62 specified by the operator as the main imaging area. 【0092】 Furthermore, the specific function 116c identifies the location of an abnormal slice among multiple slices included in the imaging region set by the setting function 116b, based on the positioning image acquired by the acquisition function 116a, the examination findings obtained from other imaging examinations, and the medical images captured by other medical imaging diagnostic devices in other imaging examinations. 【0093】 For example, as shown in Figures 6(A) and (B), the specific function 116c displays the scan image 51 taken as a positioning image, the examination findings obtained from other image examinations (not shown), and the X-ray image 64 taken by other medical imaging diagnostic equipment on the display 114, and accepts an operation from the operator to place a line 63 on the scan image 51 at the location of the suspected area indicated by the examination findings and the X-ray image 64. The specific function 116c then identifies the location of the line 63 placed by the operator as the location of the abnormal slice. 【0094】 Furthermore, the imaging control function 116d performs the main imaging and images the main imaging region set by the setting function 116b. 【0095】 The output function 116e then outputs the image captured by the main imaging process with the abnormal slice information identified by the identification function 116c attached. 【0096】 For example, as shown in Figure 6(B), the output function 116e outputs the main acquired image 65 of the CT image with abnormal slice information (not shown). 【0097】 (Example 4) Example 4 is an example in which a positioning image is used as the preparatory imaging image, and physical findings and laboratory findings obtained from blood tests are used as the findings information. 【0098】 In this embodiment, the acquisition function 116a acquires a positioning image, which was captured before the main imaging in the same image examination of the subject, as a preparatory imaging image. For example, the acquisition function 116a acquires the positioning image captured in the preparatory imaging of the subject by the medical image diagnostic device 110 from the memory circuit 112. 【0099】 Furthermore, the acquisition function 116a acquires physical findings obtained from interviews and physical examinations of the subject as findings information. For example, the acquisition function 116a acquires physical findings of the subject from the RIS130 or similar device. 【0100】 Furthermore, the acquisition function 116a acquires the test results obtained from the subject's blood test as finding information. For example, the acquisition function 116a acquires the test results obtained from the subject's blood test from the image interpretation report system 150, etc. The acquisition function 116a may also acquire the subject's medical history and family history as finding information. 【0101】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the main imaging, based on the positioning image acquired by the acquisition function 116a. 【0102】 Furthermore, the specific function 116c identifies the location of an abnormal slice among multiple slices included in the imaging region set by the setting function 116b, based on the positioning image acquired by the acquisition function 116a, physical findings, and test findings obtained from blood tests. 【0103】 For example, if the physical examination findings indicate that the patient complained of pain in the upper left back, and the blood test results suggest a possible hypersplenism, then specific function 116c will accept a request from the operator to place a line at the location of the spleen on the positioning image. Then, specific function 116c will identify the position of the line placed by the operator as the location of the abnormal slice. 【0104】 Furthermore, the imaging control function 116d performs the main imaging and images the main imaging region set by the setting function 116b. 【0105】 The output function 116e then outputs the image captured by the main imaging process with the abnormal slice information identified by the identification function 116c attached. 【0106】 For example, the output function 116e outputs abnormal slice information, such as the slice number of the abnormal slice (e.g., XX), the direction of the abnormal slice (e.g., posterior), and anatomical information of the abnormal area contained in the abnormal slice (e.g., spleen), attached to the captured image. 【0107】 (Example 5) Example 5 is an example in which a positioning image is used as the preparation image, and an optical camera image is used as the observation information. 【0108】 Figure 7 shows Example 5 of the medical imaging diagnostic device 110 according to the first embodiment. 【0109】 In this embodiment, the acquisition function 116a acquires a positioning image, which was captured before the main imaging in the same image examination of the subject, as a preparatory imaging image. For example, the acquisition function 116a acquires the positioning image captured in the preparatory imaging of the subject by the medical image diagnostic device 110 from the memory circuit 112. 【0110】 Furthermore, the acquisition function 116a acquires optical camera images of the subject as findings information. For example, the acquisition function 116a acquires optical camera images of the subject captured by a camera installed in the medical imaging diagnostic device 110 or in the imaging room. 【0111】 For example, as shown in Figure 7(A), the acquisition function 116a acquires an optical camera image 71 of the subject's left leg. 【0112】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the main imaging, based on the positioning image acquired by the acquisition function 116a. 【0113】 Furthermore, the identification function 116c uses a machine learning model trained to input an optical camera image of any subject, detect abnormal areas contained in the optical camera image, and output them. The identification function 116c detects abnormal areas contained in the optical camera image of the subject acquired by the acquisition function 116a, and identifies the location of the abnormal slice based on the detected abnormal areas and positioning image. 【0114】 For example, as shown in Figures 7(B) and (C), the specific function 116c detects abnormal areas 73 and abnormal locations 74 contained in the optical camera image 71 by inputting the optical camera image 71 of a subject into a machine learning model 72 that has been trained to take an optical camera image of an arbitrary subject as input and output abnormal areas and locations contained in the optical camera image. For example, if the optical camera image 71 is an image of the subject's left leg, the patella of the left leg is detected as the abnormal area 73, and the location where the abnormality occurs within the patella of the left leg is detected as the abnormal location 74. 【0115】 Furthermore, as shown in Figure 7(D), for example, the identification function 116c receives an operation from the operator to place a line 76 on the positioning image 75 at the position indicated by the abnormal position 74 detected from the optical camera image 71. The identification function 116c then identifies the position of the line 76 placed by the operator as the position of the abnormal slice. 【0116】 Furthermore, the imaging control function 116d performs the main imaging and images the main imaging region set by the setting function 116b. 【0117】 The output function 116e then outputs the image captured by the main imaging process with the abnormal slice information identified by the identification function 116c attached. 【0118】 For example, as shown in Figure 7(E), the output function 116e outputs abnormal slice information to the captured image 77, including the slice number of the abnormal slice (e.g., XX), the direction of the abnormal slice (e.g., left), and anatomical information of the abnormal part included in the abnormal slice (e.g., patella). 【0119】 In this embodiment as well, similar to the previously described embodiment, physical findings obtained from interviews and physical examinations of the subject may also be used as findings information. 【0120】 (Example 6) Example 6 is an example in which a virtual positioning image estimated from an optical camera image is used as the preparation image, and physical findings are used as the findings information. 【0121】 Figure 8 shows an example 6 of the medical imaging diagnostic device 110 according to the first embodiment. 【0122】 In this embodiment, the acquisition function 116a acquires a virtual positioning image estimated based on the optical camera image of the subject as a preparatory imaging image. 【0123】 Specifically, the acquisition function 116a acquires optical camera images of the subject. For example, the acquisition function 116a acquires optical camera images 71 of the subject captured by a camera installed in the medical imaging diagnostic device 110 or the imaging room. For example, the acquisition function 116a acquires optical camera images of the subject captured by a camera installed in the medical imaging diagnostic device 110 or the imaging room. Then, the acquisition function 116a estimates the position of a predetermined feature area from the acquired optical camera image. 【0124】 For example, as shown in Figure 8(A), the acquisition function 116a acquires an optical camera image 81 of the subject's entire body and estimates the position 82 of the abdomen from the acquired optical camera image 81. 【0125】 Furthermore, the acquisition function 116a acquires positioning images of the subject that were captured in the past. For example, the acquisition function 116a acquires past positioning images of the subject from PACS 120 or the like. Then, the acquisition function 116a estimates the position of the same feature region that was estimated from the optical camera image from the acquired past positioning images of the subject. 【0126】 For example, as shown in Figure 8(B), the acquisition function 116a acquires a positioning image 83 of the subject that was captured in the past, and estimates the position 84 of the abdomen from the acquired positioning image 83. 【0127】 The acquisition function 116a then acquires a virtual positioning image by moving the past positioning image to align the position of the feature area, based on the positional change between the position of the feature area estimated from the optical camera image and the position of the feature area estimated from the past positioning image. Alternatively, the acquisition function 116a may acquire a virtual positioning image from the subject's optical camera image and past positioning images using linear transformation or a machine learning model. 【0128】 For example, as shown in Figure 8(C), the acquisition function 116a acquires a virtual positioning image 85 by translating the past positioning image 83 in the head-to-tail direction and left-to-right direction to match the position of the abdomen, based on the position change between the abdominal position 82 estimated from the optical camera image 81 and the abdominal position 84 estimated from the past positioning image 83. 【0129】 Furthermore, the acquisition function 116a acquires physical findings obtained from interviews and physical examinations of the subject as findings information. For example, the acquisition function 116a acquires physical findings of the subject from the RIS130 or similar device. 【0130】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the actual imaging, based on the virtual positioning image acquired by the acquisition function 116a. 【0131】 Furthermore, the specific function 116c identifies the location of an abnormal slice among multiple slices included in the imaging area set by the setting function 116b, based on the virtual positioning image and physical findings acquired by the acquisition function 116a. 【0132】 For example, as shown in Figure 8(D), if the physical findings indicate a suspected case of cholecystitis, the specific function 116c receives an operation from the operator to place a line 86 at the location of the gallbladder on the virtual positioning image 85. The specific function 116c then identifies the location of the line 86 placed by the operator as the location of the abnormal slice. 【0133】 Furthermore, the imaging control function 116d performs the main imaging and images the main imaging region set by the setting function 116b. 【0134】 The output function 116e then outputs the image captured by the main imaging process with the abnormal slice information identified by the identification function 116c attached. 【0135】 For example, as shown in Figure 8(D), the output function 116e outputs abnormal slice information, such as the slice number of the abnormal slice (e.g., XX), the direction of the abnormal slice (e.g., right), and anatomical information of the abnormal part contained in the abnormal slice (e.g., gallbladder), attached to the captured image (not shown). 【0136】 In this embodiment, a virtual positioning image estimated based on the subject's optical camera image is used as the preparatory imaging image, thus eliminating the need to capture a positioning image during the preparatory imaging. 【0137】 (Example 7) Example 7 is an example in which the medical image processing system 100 is an MRI device, a positioning image is used as the preparatory imaging image, physical findings are used as the findings information, and a multi-voxel MR spectroscopy is performed as the main imaging. 【0138】 Figure 9 shows Example 7 of the medical imaging diagnostic device 110 according to the first embodiment. 【0139】 In this embodiment, the acquisition function 116a acquires a positioning image, which was captured before the main imaging in the same image examination of the subject, as a preparatory imaging image. For example, the acquisition function 116a acquires the positioning image captured in the preparatory imaging of the subject by the medical image diagnostic device 110 from the memory circuit 112. 【0140】 Furthermore, the acquisition function 116a acquires physical findings obtained from interviews and physical examinations of the subject as findings information. For example, the acquisition function 116a acquires physical findings of the subject from the RIS130 or similar device. 【0141】 Furthermore, the setting function 116b sets the imaging region, which includes multiple slices to be captured in the main imaging, based on the positioning image acquired by the acquisition function 116a. 【0142】 For example, as shown in Figure 9(A), the setting function 116b receives an operation from the operator to specify the imaging range 92 for the main image capture on the positioning image 91. The setting function 116b then sets the imaging range 92 specified by the operator as the main imaging area. 【0143】 Furthermore, the specific function 116c identifies the location of an abnormal slice among multiple slices included in the imaging area set by the setting function 116b, based on the positioning image and physical findings acquired by the acquisition function 116a. 【0144】 For example, as shown in Figure 9(A), the identification function 116c displays the physical findings obtained from the interview and physical examination of the subject on the display 114 (not shown in the figure), and accepts an operation from the operator to specify a voxel 93 located at the suspected site indicated by the physical findings on the positioning image 91. The identification function 116c then identifies the location of the voxel 93 specified by the operator as the location of the abnormal slice. 【0145】 Furthermore, the imaging control function 116d performs the main imaging and acquires MR spectroscopy of each voxel included in the main imaging region set by the setting function 116b. 【0146】 Furthermore, the output function 116e outputs the MR spectroscopy image acquired by this imaging process, along with the abnormal slice information identified by the identification function 116c. 【0147】 For example, as shown in Figure 9(B), the output function 116e outputs abnormal slice information, such as the coordinate numbers of the voxels at the abnormal locations (e.g., (x,y)=(1,4)), attached to the main image 94 of the MR spectroscopy. 【0148】 The processing functions of the processing circuit 116 of the medical imaging diagnostic device 110 have been described above. In this embodiment, the processing circuit 116 is implemented by a processor, for example. In this case, the processing functions of the processing circuit 116 are stored in the storage circuit 112 in the form of a program that can be executed by a computer, for example. The processing circuit 116 then reads each program from the storage circuit 112 and executes it, thereby realizing the processing function corresponding to each program. In other words, the processing circuit 116 has the processing functions shown in Figure 2 when each program has been read. 【0149】 The following describes the processing procedures performed by each processing function of the processing circuit 116 of the medical imaging diagnostic device 110. 【0150】 Figure 10 is a flowchart showing the processing procedure performed by each processing function of the processing circuit 116 of the medical image diagnostic device 110 according to the first embodiment. 【0151】 For example, as shown in Figure 10, in the first embodiment, the acquisition function 116a acquires the preparation image and findings information obtained before the main imaging in the same image examination of the subject (step S101). This step S101 is realized, for example, by the processing circuit 116 reading and executing the program corresponding to the acquisition function 116a from the storage circuit 112. 【0152】 Next, the setting function 116b sets the main imaging region, which includes multiple slices to be imaged in the main imaging, based on the preparation imaging image acquired by the acquisition function 116a (step S102). This step S102 is realized, for example, by the processing circuit 116 reading the program corresponding to the setting function 116b from the storage circuit 112 and executing it. 【0153】 Next, the specific function 116c identifies the location of the abnormal slice among the multiple slices included in the main imaging region set by the setting function 116b, based on the preparation imaging image and findings information acquired by the acquisition function 116a (step S103). This step S103 is realized, for example, by the processing circuit 116 reading and executing the program corresponding to the specific function 116c from the storage circuit 112. 【0154】 Next, the imaging control function 116d performs the main imaging and images the main imaging area set by the setting function 116b (step S104). This step S104 is realized, for example, by the processing circuit 116 reading the program corresponding to the imaging control function 116d from the storage circuit 112 and executing it. 【0155】 Next, the output function 116e outputs the captured image obtained by this imaging process, along with abnormal slice information relating to the location of the abnormal slice identified by the identification function 116c (step S105). This step S105 is realized, for example, by the processing circuit 116 reading a program corresponding to the output function 116e from the storage circuit 112 and executing it. 【0156】 Next, the display control function 116f identifies an abnormal slice image from among multiple slice images included in the captured image based on the abnormal slice information output by the output function 116e, and initially displays the identified abnormal slice image on the display 114 (step S106). This step S106 process is realized, for example, by the processing circuit 116 reading a program corresponding to the display control function 116f from the storage circuit 112 and executing it. 【0157】 As described above, in the first embodiment, the acquisition function 116a acquires the preparation image and findings information obtained before the main imaging in the same imaging examination of the subject. The setting function 116b sets the main imaging region, which includes multiple slices to be imaged in the main imaging, based on the preparation image. The identification function 116c identifies the location of the abnormal slice among the multiple slices included in the main imaging region, based on the preparation image and findings information. The imaging control function 116d performs the main imaging to image the main imaging region. The output function 116e outputs the main imaging image obtained by the main imaging, along with abnormal slice information regarding the location of the abnormal slice. 【0158】 Therefore, according to the first embodiment, the time required to identify abnormal slices can be shortened by identifying the location of abnormal slices based on the preparation image and findings information, and outputting the identified location of abnormal slices attached to the main image. 【0159】 In the first embodiment, the display control function 116f identifies an abnormal slice image from among multiple slice images included in the captured image based on abnormal slice information, and initially displays the identified abnormal slice image on the display 114. 【0160】 Therefore, according to the first embodiment, since images of abnormal slices are automatically displayed, the effort of searching for slices containing abnormal areas within the captured image can be eliminated, and the time required to identify abnormal slices can be further reduced. 【0161】 The first embodiment has been described above, but the medical imaging diagnostic device 110 described above can also be implemented by appropriately changing some of its components. Therefore, a modified version of the medical imaging diagnostic device 110 according to the first embodiment will be described below as another embodiment. In the following embodiments, the focus will be on the differences from the previously described embodiment, and components that perform the same role will be given the same reference numerals, and detailed descriptions will be omitted. 【0162】 (Second embodiment) For example, in the above-described embodiment, the display control function 116f of the medical image diagnostic device 110 identifies an abnormal slice image from among multiple slice images included in the captured image based on abnormal slice information output by the output function 116e, and initially displays the identified abnormal slice image on the display 114. However, the embodiment is not limited to this. 【0163】 For example, the output function 116e may transmit abnormal slice information to the image interpretation terminal device 140. 【0164】 In this case, the image interpretation terminal 140 receives abnormal slice information output by the output function 116e via the network 160, and further acquires the actual image from the medical image diagnostic device 110. Then, based on the received abnormal slice information, the image interpretation terminal 140 identifies the abnormal slice image from among the multiple slice images included in the actual image, and initially displays the identified abnormal slice image on the display. 【0165】 Alternatively, for example, the output function 116e may send abnormal slice information to the RIS 130 or the image interpretation report system 150 as information for entering into the comment field of the report information. 【0166】 In this case, the RIS 130 or the image interpretation report system 150 receives the abnormal slice information output by the output function 116e via the network 160, and further acquires the actual image from the medical image diagnostic device 110. The image interpretation terminal device 140 then updates the comment field of the report information regarding the actual image based on the received abnormal slice information. 【0167】 (Other embodiments) Furthermore, in the embodiments described above, examples were given in which the acquisition unit, setting unit, identification unit, imaging control unit, output unit, and display control unit in this specification are realized by the setting function, identification function, imaging control function, output function, and display control function of the processing circuit, respectively. However, the embodiments are not limited to these. For example, the setting unit, identification unit, imaging control unit, output unit, and display control unit in this specification may be realized not only by the setting function, identification function, imaging control function, output function, and display control function described in the embodiments above, but also by hardware only, software only, or a combination of hardware and software. 【0168】 Furthermore, although the above-described embodiment assumes that the processing circuit is implemented by a single processor, the embodiment is not limited to this. For example, the processing circuit may be composed of a combination of multiple independent processors, with each processor executing a program to realize each processing function. Also, each processing function of the processing circuit may be implemented by appropriately distributing or integrating it across one or more processing circuits. Furthermore, each processing function of the processing circuit may be implemented by a mixture of hardware such as circuits and software. Also, although here it is assumed that the program corresponding to each processing function is stored in a single memory circuit, the embodiment is not limited to this. For example, the program corresponding to each processing function may be stored in a distributed manner across multiple memory circuits, and the processing circuit may read and execute each program from each memory circuit. 【0169】 Furthermore, the term "processor" used in the above-described embodiment refers to circuits such as a CPU (Central Processing Unit), a GPU (Graphics Processing Unit), an Application Specific Integrated Circuit (ASIC), or a programmable logic device (e.g., a Simple Programmable Logic Device (SPLD), a Complex Programmable Logic Device (CPLD), and a Field Programmable Gate Array (FPGA)). Here, instead of storing the program in a memory circuit, the processor may be configured to directly incorporate the program into its circuitry. In this case, the processor realizes its function by reading and executing the program incorporated into the circuitry. Moreover, each processor in this embodiment is not limited to being configured as a single circuit; multiple independent circuits may be combined to form a single processor, and its function may be realized in this way. 【0170】 Here, the program executed by the processor is provided pre-installed in ROM (Read Only Memory) or memory circuits. This program may also be provided as a file in an installable or executable format on computer-readable storage media such as CD (Compact Disk)-ROM, FD (Flexible Disk), CD-R (Recordable), or DVD (Digital Versatile Disk). Alternatively, this program may be stored on a computer connected to a network such as the Internet and provided or distributed by downloading it via the network. For example, this program consists of modules containing the functional units described above. In actual hardware, the CPU reads the program from a storage medium such as ROM and executes it, loading each module onto the main memory and generating it in the main memory. 【0171】 Furthermore, in the embodiments described above, each component of each illustrated device is a functional concept and does not necessarily have to be physically configured as shown. In other words, the specific form of distribution or integration of each device is not limited to that shown, and all or part of them can be functionally or physically distributed or integrated in any unit according to various loads and usage conditions. Moreover, each processing function performed by each device can be implemented, in whole or in any part, by a CPU and a program that is analyzed and executed by the CPU, or by hardware using wired logic. 【0172】 Furthermore, among the processes described in the embodiments described above, all or part of the processes described as being performed automatically can be performed manually, or all or part of the processes described as being performed manually can be performed automatically by known methods. In addition, the processing procedures, control procedures, specific names, and information including various data and parameters shown in the above document and drawings can be arbitrarily changed unless otherwise specified. 【0173】 According to at least one embodiment described above, the time required to identify abnormal slices can be reduced. 【0174】 While several embodiments have been described, these embodiments are presented as examples only and are not intended to limit the scope of the invention. These embodiments can be carried out in a variety of other forms, and various omissions, substitutions, modifications, and combinations of embodiments can be made without departing from the spirit of the invention. These embodiments and their variations are included in the scope and spirit of the invention, as well as in the claims and their equivalents. [Explanation of symbols] 【0175】 110 Medical imaging diagnostic equipment 116 Processing Circuit 116a Acquisition function 116b Settings function 116c Specific functions 116d Imaging Control Function 116e Output function 116f Display control function

Claims

[Claim 1] An acquisition unit that acquires preparatory imaging images and findings information obtained before the main imaging in the same imaging examination of the subject, A setting unit sets the main imaging region, which includes a plurality of slices to be captured in the main imaging, based on the preparatory imaging image. Based on the preparatory imaging image and the findings information, the identification unit identifies the location of an abnormal slice among the multiple slices included in the main imaging region. An imaging control unit that performs the imaging described above and images the imaging region, An output unit that outputs the captured image obtained by the above-mentioned imaging method with abnormal slice information relating to the location of the abnormal slice attached. A medical imaging diagnostic device equipped with [a specific feature]. [Claim 2] The aforementioned medical imaging diagnostic device is an MRI (Magnetic Resonance Imaging) device, an X-ray CT (Computed Tomography) device, a PET (Positron Emission Tomography)-CT device, or a SPECT (Single Photon Emission Computed Tomography)-CT device. The medical imaging diagnostic apparatus according to claim 1. [Claim 3] The output unit outputs the abnormal slice information, including at least one of the following, attached to the main image: an image with slice lines indicating the location of the abnormal slice on the preparation image; a slice number identifying the abnormal slice among the plurality of slices; the direction of the abnormal slice; anatomical information of the abnormal area included in the abnormal slice; and the coordinate numbers of the voxels of the abnormal area. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 4] The system further includes a display control unit that identifies the image of the abnormal slice from among a plurality of slice images included in the captured image based on the abnormal slice information, and initially displays the image of the identified abnormal slice on the display. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 5] The output unit transmits the abnormal slice information to the image interpretation terminal device. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 6] The output unit transmits the abnormal slice information to the radiology department information system or the image interpretation report system as information for entering into the comment field of the report information. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 7] The acquisition unit acquires, as the preparatory imaging image, a positioning image taken before the main imaging, a magnetic field adjustment image or sensitivity map image used in a magnetic resonance imaging apparatus, or a virtual positioning image estimated based on an optical camera image. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 8] The acquisition unit acquires the subject's physical findings, laboratory findings, medical history, or family history as the findings information. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 9] The acquisition unit further acquires medical images captured by other medical imaging diagnostic devices during other image examinations of the subject, The identifying unit further identifies the location of the abnormal slice based on the medical image captured by the other medical imaging device. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 10] The aforementioned preparatory image is an image with lower resolution than the main image. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 11] The aforementioned preparatory image is an image with a wider imaging range than the aforementioned main image. A medical imaging diagnostic apparatus according to claim 1 or 2. [Claim 12] The acquisition unit acquires an optical camera image of the subject as the findings information. The identification unit uses a machine learning model trained to input an optical camera image of an arbitrary subject and output abnormal areas contained in the optical camera image to detect abnormal areas contained in the optical camera image of the subject, and identifies the location of the abnormal slice based on the detected abnormal areas and the preparation image. A medical imaging diagnostic apparatus according to claim 1 or 2.