Automatic dividing method for cerebral ischemia focus area

An automatic segmentation and lesion area technology, applied in the field of image processing, can solve the problem that the segmentation result depends on the initial segmentation, is not suitable for lesion area segmentation, and does not consider the local volume effect, and achieves the effect of overcoming noise.

Inactive Publication Date: 2005-06-29
INST OF AUTOMATION CHINESE ACAD OF SCI
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However, the algorithm still has its constraints: the local volume effect is not considered; the segmentation result depends on

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  • Automatic dividing method for cerebral ischemia focus area
  • Automatic dividing method for cerebral ischemia focus area
  • Automatic dividing method for cerebral ischemia focus area

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[0029] The automatic segmentation method of the present invention will be described in detail below in conjunction with the accompanying drawings. As a specific implementation scheme, the structural block diagram is shown in figure 1 , the segmentation method includes the following steps: image preprocessing, diffusion tensor field calculation, diffusion anisotropy measurement, adaptive multi-scale statistical classification, and local volume voxel reclassification.

[0030] It mainly includes four steps: (1) estimation of diffusion tensor and diffusion anisotropy of DTI images; (2) calculation of scale space; (3) multi-scale statistical classification; (4) local volume voxel reclassification. The following introduces them one by one.

[0031] Step 1: Estimate the diffusion tensor and diffusion anisotropy of the DTI image

[0032] DTI is used to measure the diffusion characteristics of water molecules in biological tissues. Diffusion is a three-dimensional process. However...

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Abstract

This invention relates to image process technique, and especially to an automatic division of brain blood shortage area based on multiple-size statistic sorting and local container sorting method, which comprises the following steps: to valuate the DTI image spreading value and direction isomerism; second to computer the size space; third to sort the multiple size; fourth to sort the local container. This invention is of high application value in medical assistant dialogue system, medical image three-dimensional recreation system and clinic disease qualitatively diagnose analysis.

Description

technical field [0001] The invention relates to image processing technology, in particular to an automatic segmentation method for cerebral ischemic lesion areas based on multi-scale statistical classification and local volume classification methods. Background technique [0002] The so-called image segmentation refers to distinguishing different regions with special meaning in the image, these regions do not cross each other, and each region satisfies the consistency of a specific region. From the perspective of processing objects, segmentation is to determine the location of the target of interest in the image matrix. Obviously, only by extracting the "target object of interest" from the complex scene, can further quantitative analysis or identification of each sub-region be possible, and then the image can be understood. Image segmentation includes methods such as threshold segmentation, edge detection, and statistical classification. The features available for image se...

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Application Information

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IPC IPC(8): G06T5/00
Inventor 田捷李悟
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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