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System and method for automatically partitioning, measuring and positioning mammary gland tumor for MRI

An automatic breast segmentation technology, applied in the field of medical information, can solve the problems of reducing doctor's work efficiency, unfavorable, unable to automatically measure tumor size and tumor location information, etc., achieve the effect of complete report content, improve work efficiency, and save labeling time

Active Publication Date: 2021-03-26
北京赛迈特锐医疗科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In view of this, the main purpose of the present invention is to provide a system and method for automatically segmenting, measuring, and locating breast masses on MRI, which can solve the problems in the prior art caused by the inability to automatically measure the mass size and mass location information. It is beneficial to guide the needle biopsy and reduce the work efficiency of doctors

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  • System and method for automatically partitioning, measuring and positioning mammary gland tumor for MRI
  • System and method for automatically partitioning, measuring and positioning mammary gland tumor for MRI
  • System and method for automatically partitioning, measuring and positioning mammary gland tumor for MRI

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Embodiment 1

[0028] figure 1 It shows 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; figure 1 As shown, the system includes: AI scheduling module 10, breast segmentation module 20, breast mass intelligent detection module 30 and structured reporting module 40, wherein,

[0029] The AI ​​scheduling module 10 is respectively connected with the breast segmentation module 20, the breast mass intelligent detection module 30 and the structured report module 40, and is used for when the patient scans and the inspection item is a breast magnetic resonance dynamic enhanced scan (dynamic contrastenhanced MRI, DCE MRI) During the inspection, the header file information of the DICOM image is extracted, based on the header file information, the DCE sequence image is searched, and the DCE sequence image is sent to the breast segmentation module 20 and the breast mass intelligent dete...

Embodiment 3

[0037] Figure 4 It shows a schematic diagram of partitions on the axial image, sagittal image, and clock face image of bilateral breast glands in the system for automatically segmenting, measuring, and locating breast masses on MRI according to Embodiment 3 of the present invention; Such as Figure 4 As shown, the rules for partitioning the axial images of bilateral breast glands are medial, lateral, anterior, middle, and posterior, and each is divided into 16 partitions on the axial images of bilateral breast glands; The division rules of the sagittal image of breast glands are upper, lower, anterior, middle, and posterior, and each is divided into 16 divisions on the sagittal image of bilateral breast glands; The rules for partitioning the clock face image are center, middle, periphery, inner upper, inner lower, outer upper, outer lower, and the clock face images of bilateral mammary glands are divided into 36 partitions.

[0038] 1-16 partitions are the axial images of t...

Embodiment 4

[0046] Figure 5 It shows 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; Figure 5 As shown, the structured report module 40 also includes a navigation map generation unit 402, which is connected to the AI ​​scheduling module 10, and is used to receive all cancer focus data whose shortest radius is greater than or equal to a preset threshold, and automatically mark the position of the cancer focus on the navigation map , and display the marked navigation map at the corresponding position on the structured report interface.

[0047] In the embodiment of the present invention, a navigation map generation unit is provided, which can receive all cancer focus data whose shortest diameter is greater than or equal to a preset threshold, automatically mark the position of the cancer focus on the navigation map, and display the marked navigation map on the structure...

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Abstract

The invention provides a system for automatically partitioning, measuring and positioning a mammary gland tumor for MRI. The system comprises an AI scheduler module, wherein the AI scheduler module isused for extracting header file information from a DICOM image of a sufferer and searching a DCE sequence; a mammary gland partitioning module, which is used for partitioning bilateral mammary glandsof the DCE sequence, separately partitioning the bilateral mammary glands into a plurality of different zones on axial-view images, sagittal-view images and clockface images of the bilateral mammaryglands and setting a unique zone number for each zone; an intelligent mammary gland tumor detection module, which is used for identifying all cancer focuses of the mammary glands in the DCE sequence,measuring three-dimensional radial lines and volumes of the cancer focuses and carrying out data matching on data of any two zones of data of three zones, i.e., an axial-view zone, a sagittal-view zone and a clockface zone, thereby outputting positions of the cancer focuses; and a structuring reporter module, which is used for outputting volumes, quantities and positions of the cancer focuses. Theinvention further discloses a method for automatically partitioning, measuring and positioning the mammary gland tumor for the MRI. According to the system and the method, the positions and sizes ofthe cancer focuses can be positioned accurately, and thus, the working efficiency of doctors is increased.

Description

technical field [0001] The invention relates to the field of medical information, more specifically, to a system and method for automatically segmenting, measuring and locating breast masses on MRI. Background technique [0002] The main tasks of breast magnetic resonance imaging (Magnetic Resonance Imaging, MRI) are: 1) Detect tumors, measure their size and location, determine whether breast-conserving surgery is feasible, and provide a basis for formulating surgical plans. There are various treatment methods for breast cancer, and breast-conserving surgery and neoadjuvant chemotherapy are the main treatment methods. Before performing breast-conserving surgery, it is necessary to know whether the mass is single or multiple, whether it is located in one breast or both breasts, how many quadrants it occupies, and the relationship with the pectoralis major, so as to determine whether breast-conserving surgery is feasible. 2) Lesion screening and biopsy guidance for breast can...

Claims

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Application Information

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IPC IPC(8): A61B5/055
CPCA61B5/055A61B5/4312
Inventor 岳新贺长征张虽虽王霄英
Owner 北京赛迈特锐医疗科技有限公司
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