System and method for automatic segmentation, measurement and localization of breast masses on MRI
An automatic segmentation and mammary gland technology, applied in the field of medical information, can solve the problems of inability to automatically measure tumor size and tumor location information, reduce doctor's work efficiency, disadvantages, etc., achieve complete report content, save labeling time, and improve work efficiency.
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Embodiment 1
[0028] figure 1 A schematic structural diagram of a system for automatically segmenting, measuring and locating breast masses on MRI according to Embodiment 1 of the present invention is shown; as figure 1 As shown, the system includes: an AI scheduling module 10, a breast segmentation module 20, an intelligent breast mass detection module 30 and a structured reporting module 40, wherein,
[0029] The AI scheduling module 10 is connected to the breast segmentation module 20, the breast mass intelligent detection module 30 and the structured reporting module 40 respectively, and is used for performing a breast dynamic enhanced MRI (DCE MRI) scan when the patient is scanned. During the inspection, extract the header file information of the DICOM image, search for the DCE sequence image based on the header file information, and send the DCE sequence image to the breast segmentation module 20 and the breast mass intelligent detection module 30;
[0030] When a patient has indic...
Embodiment 3
[0037] Figure 4 Shows the schematic diagrams of the partitions on the axial image, sagittal image, and clock face image of bilateral breast glands in the system for automatic segmentation, measurement and localization of breast masses on MRI according to Embodiment 3 of the present invention; like Figure 4 As shown, the rules for partitioning the axial images of bilateral breast glands are medial, lateral and anterior, middle, and posterior, and the axial images of bilateral breast glands are divided into 16 partitions; The sagittal images of breast glands are divided into upper, lower and anterior, middle, and posterior parts, and the sagittal images of bilateral breast glands are divided into 16 divisions; The division rules of the clock face image are center, middle, periphery, inner upper, inner lower, outer upper, outer lower, and each is divided into 36 divisions on the clock face image of bilateral breast glands.
[0038] Partitions 1-16 are axial images of the righ...
Embodiment 4
[0046] Figure 5 A schematic structural diagram of a system for automatically segmenting, measuring and locating breast masses on MRI according to Embodiment 4 of the present invention is shown; as Figure 5 As shown, the structured reporting module 40 further includes a navigation map generating unit 402, which is connected to the AI scheduling module 10, and is used to receive all cancer foci data whose shortest diameter is greater than or equal to a preset threshold, and automatically mark the location of the cancer foci on the navigation map. , and display the marked navigation graph in the corresponding position of the structured report interface.
[0047] The embodiment of the present invention is provided with a navigation map generation unit, which can receive all the cancer foci data whose shortest diameter is greater than or equal to a preset threshold, automatically mark the location of the cancer foci on the navigation map, and display the marked navigation map i...
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