A computer-aided method for judging the depth of myometrial invasion of endometrial cancer in MRI images

An endometrial cancer, computer-aided technique, applied in the field of medical image processing

Active Publication Date: 2022-07-15
UNIV OF SHANGHAI FOR SCI & TECH
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AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to solve the technical problem of how to adopt a multi-feature fusion computer-aided judgment method for judging the depth of endometrial cancer myometrial invasion in MRI images

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  • A computer-aided method for judging the depth of myometrial invasion of endometrial cancer in MRI images
  • A computer-aided method for judging the depth of myometrial invasion of endometrial cancer in MRI images
  • A computer-aided method for judging the depth of myometrial invasion of endometrial cancer in MRI images

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Embodiment Construction

[0023] In order to make the present invention more obvious and easy to understand, preferred embodiments are hereby described in detail with the accompanying drawings as follows:

[0024] like Figure 1-3 shown, attached figure 1 It is a schematic flowchart of the method of the present invention; a computer-aided method for judging the depth of myometrial invasion of endometrial cancer in an MRI image, comprising the following steps:

[0025] Step 1: Image reading, read the MRI image (MRI image of sagittal T2WI FS FSE sequence) and normalize its gray level to 0-255.

[0026] Step 2: Select a region of interest; manually draw the uterine body region along the serosa layer on the slice as a region of interest (ROI). The principle of choosing the slice: Compared with the adjacent slice, the tumor edge in this slice is closest to the serosa. Automatically connect the start and end points of the curve drawn along the serosa layer with a straight line, and the area enclosed by th...

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Abstract

The invention relates to a computer-aided judgment method for the depth of myometrial invasion of endometrial cancer in MRI images, and belongs to the technical field of medical image processing. The present invention first manually selects the uterine body region as the region of interest (ROI), and then obtains the region containing the tumor and the uterine cavity based on Otsu segmentation and morphological processing, and extracts geometric features, histogram features and grayscale co-occurrence matrix features for this region. , and after feature selection, a support vector machine infiltration depth classification model is established. The invention can better distinguish the depth of myometrial infiltration of endometrial cancer in MRI images, and can assist doctors in judging the depth of myometrial infiltration of endometrial cancer.

Description

technical field [0001] The invention relates to a computer-aided judgment method for the depth of myometrial invasion of endometrial cancer in MRI images, and belongs to the technical field of medical image processing. Background technique [0002] Endometrial cancer is a common malignant tumor of the female reproductive system. It occurs in menopausal and perimenopausal women, and the peak incidence is 55-65 years old. In the preoperative staging of endometrial cancer, it is necessary to manually interpret whether the myometrial invasion is deep myometrial invasion or superficial myometrial invasion based on MRI images, which plays an important role in predicting prognosis and evaluating the risk of lymph node metastasis. A depth of invasion greater than or equal to 50% of the myometrial thickness was considered deep myometrial invasion, otherwise it was superficial myometrial invasion. MRI is an important and noninvasive imaging modality for preoperative evaluation of end...

Claims

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/187G06T5/30
CPCG06T7/0012G06T7/11G06T7/136G06T7/187G06T5/30G06T2207/10088G06T2207/20104G06T2207/30096
Inventor应捷朱雪亮杨海马李薄羏
OwnerUNIV OF SHANGHAI FOR SCI & TECH