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Abdomen DR image processing method and system

An image processing and image preprocessing technology, which is applied in the field of medical image processing, can solve problems such as changes in the overlapping shape of the intestinal tract, complex abdominal tissue structure, and difficulty in obtaining satisfactory results, and achieve good classification accuracy and good stability.

Pending Publication Date: 2022-05-06
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI +1
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  • Application Information

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Problems solved by technology

[0002] The abdominal tissue structure is complex, especially the intestinal tract is convoluted and tortuous in three-dimensional space, which leads to overlapping and morphological changes of the intestinal tract in two-dimensional DR images, which brings challenges to the analysis of intestinal shape in DR images
It is difficult to obtain satisfactory results in the analysis of DR images by conventional methods based on geometric morphology analysis, so it is necessary to provide a more reliable solution

Method used

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  • Abdomen DR image processing method and system
  • Abdomen DR image processing method and system

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Embodiment 1

[0071] A kind of abdominal DR image processing method of the present embodiment, comprises the following steps:

[0072] 1) Image preprocessing: perform ROI (region of interest) labeling, binarization processing, resampling processing and boundary generation on the abdominal DR image to obtain a boundary binary image.

[0073] Specifically include:

[0074] 1-1) ROI labeling: the ROI of the region of interest is obtained by manually labeling the abdominal DR image, threshold segmentation labeling, connected domain analysis, hole filling, and curve drawing labeling based on image gradient changes;

[0075] 1-2) Binarization processing: through binarization processing, the marked area is regenerated into a binary image with the same size and spatial resolution as the original image, wherein the marked area is a non-zero value, and the background area is a zero value; The zero value is generally defined as a positive integer of 1-255;

[0076] 1-3) resampling processing: the or...

Embodiment 2

[0127] This embodiment provides an abdominal DR image processing system, which uses the method in Embodiment 1 to process the abdominal DR image, referring to figure 1 , the system consists of:

[0128] Image preprocessing module, which includes ROI labeling submodule, binarization processing submodule, resampling processing submodule and boundary generation submodule, described image preprocessing module performs abdominal DR image according to the method of step 1) in embodiment 1 carry out preprocessing;

[0129] A statistical shape analysis module, which includes a centerline extraction submodule, a target width calculation submodule, and a statistical shape calculation submodule, and the statistical shape analysis module performs statistical shape analysis according to the method of step 2) in embodiment 1;

[0130] And an image classification module, which includes a feature normalization submodule, a feature screening submodule and a machine learning classification mod...

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Abstract

The invention discloses an abdomen DR image processing method and system. The method comprises the following steps: 1) image preprocessing: carrying out ROI labeling, binarization processing, resampling processing and boundary generation on an abdomen DR image to obtain a boundary binary image; 2) statistical shape analysis: performing center line extraction, target width calculation and statistical shape calculation on the boundary binary image obtained in the step 1) to obtain a plurality of statistical shape parameters; and 3) image classification: carrying out image classification based on the plurality of statistical shape parameters obtained in the step 2). Compared with an existing geometric morphology analysis scheme, the DR image intestinal morphology analysis method and system based on the statistical shape have the advantages that the stability of the intestinal DR image is better for the characteristics of intestinal morphology change, intestinal overlapping phenomenon, patient body position change and the like; the statistical morphological parameters obtained by the method have better classification accuracy when being used for image classification.

Description

technical field [0001] The present invention relates to the field of medical image processing, in particular to an abdominal DR image processing method and system. Background technique [0002] The complex tissue structure of the abdomen, especially the twists and turns of the intestinal tract in three-dimensional space, leads to overlapping and morphological changes of the intestinal tract in two-dimensional DR images, which brings challenges to the analysis of intestinal shape in DR images. It is difficult to obtain satisfactory results in the analysis of DR images by conventional methods based on geometric morphology analysis, so it is necessary to provide a more reliable solution. Contents of the invention [0003] The technical problem to be solved by the present invention is to provide an abdominal DR image processing method and system for the above-mentioned deficiencies in the prior art. [0004] In order to solve the above-mentioned technical problems, the techni...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/11G06T7/136G06T7/62G06V10/25G06V10/28G06V10/764G06K9/62
CPCG06T7/0012G06T7/11G06T7/136G06T7/62G06T2207/30028G06F18/24
Inventor 周志勇戴亚康黄顺根郭万亮钱旭升耿辰
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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