3D vertebra CT image active contour segmentation method fusing weighted random forest

A CT image and random forest technology, applied in the field of medical image processing, can solve the problems that the image cannot be completely automatically segmented, the initial contour needs to be manually defined, etc., to achieve the effect of improving the accuracy.

Inactive Publication Date: 2018-09-07
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

However, for some of these methods, the initial contour needs to be manually defined and cannot fully automatically segment the image

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  • 3D vertebra CT image active contour segmentation method fusing weighted random forest
  • 3D vertebra CT image active contour segmentation method fusing weighted random forest
  • 3D vertebra CT image active contour segmentation method fusing weighted random forest

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[0052] Now in conjunction with the accompanying drawings the present invention is further explained in detail, the following description uses the accompanying drawings to further finish the description of the present invention, and constitutes a part of the application of the present invention, the invention example of the present invention is only for the explanation of the present invention, and It cannot constitute an undue limitation of the invention.

[0053] Such as figure 1 Shown, the present invention specifically comprises the following steps:

[0054] Step 1: Read and display the vertebral CT images of the training set and test set;

[0055] Step 2: Perform 3D Haar-like feature extraction of voxels in the spine CT image;

[0056] Step 3: From the 3D Haar-like feature obtained in step 2, perform weighted random forest regression and classification to determine the center point of the vertebra, and output the vertebra positioning model;

[0057] Step 4: Place the in...

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Abstract

The invention discloses a 3D vertebra CT image active contour segmentation method fusing weighted random forest, and relates to the field of medical image processing. For the problem of sensitivity ofa vertebra CT image segmentation method to an initial contour, a method for automatically locating a vertebra and segmenting a vertebra CT image is proposed. The method comprises the steps of firstly, proposing a weighted random regression and classification forest algorithm to determine a vertebra center; secondly, putting an initial contour ball of active contour segmentation in the vertebra center, and segmenting out the vertebra in the image by adopting a 3D active contour segmentation method in combination with an energy function; and finally, performing combination output on trained models to obtain a complete vertebra CT image segmentation model. A spinal CT segmentation model proposed in the method can automatically locate the vertebra center and can perform automatic 3D segmentation on the vertebra, so that the spinal CT image segmentation steps and processes are simplified.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method for active contour segmentation of 3D vertebral CT images fused with weighted random forest. Background technique [0002] Image segmentation is the process of segmenting an image into regions and extracting objects of interest. Currently, image segmentation is widely used in computer-aided diagnosis of medical images. Segmentation of medical images is considered the basis of image processing analysis. With the continuous development of medical image processing and analysis technology, medical image processing is developing rapidly. Using computer to analyze and process images is an important research in modern medicine, which has important significance and practical value. [0003] The spine, also known as the vertebrae, is the bony structure that forms the central axis of gravity in the upper part of the body. Spine Image has various medical image models, suc...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/12G06K9/32G06K9/62
CPCG06T7/12G06T2207/10081G06T2207/30012G06V10/245G06F18/25G06F18/241
Inventor 刘晓刘侠甘权
Owner HARBIN UNIV OF SCI & TECH
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