Brain image processing method and system

Abstract

The invention relates to a method and system for brain image processing. The method comprises the step of brain image collection, the step of focus area and center determining, the step of eigenvalue extraction, the step of correlation calculation and the step of similar area determining. In the step of brain image collection, the brain of a patient is scanned to obtain a brain image. In the step of focus area and center determining, an appointed focus area and the center of the focus area are obtained from the brain image. In the step of eigenvalue extraction, gray level parameter values of pixel points in the brain image are extracted as the eigenvalue of the pixel points. In the step of correlation calculation, the cross correlation coefficient between the eigenvalue of the pixel points in the brain image and the eigenvalue of the center of the focus area is calculated. In the step of similar area determining, pixel points with the cross correlation coefficient larger than a correlation threshold vale are screened out, and according to the cross correlation coefficient of the pixel points which are screened out, a related image, similar to the focus area, of a non-focus area in the brain image is obtained. According to the method and system for brain image processing, irrelevant images are screened out, and an area similar to the focus area is accurately obtained.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a brain image processing method and system. Background technique [0002] Cerebral ischemic infarction is a common acute cerebrovascular disease, which is caused by atherosclerosis leading to a sharp reduction or interruption of blood flow to the corresponding brain, resulting in cerebral ischemia, usually insidious onset, acute onset, and serious consequences. Magnetic resonance imaging images can visually display the location and size of cerebral infarction. Traditional MRI methods include structural imaging, perfusion imaging, diffusion imaging, and metabolic imaging. Figure 1a It is the structural image of cerebral ischemic infarction, Figure 1b Anisotropy fraction map for diffusion imaging of cerebral ischemic infarction, Figure 1a and 1b The middle arrow marks the ischemic area. [0003] Using intuitive observation images, only the lesion area can be observed, ...

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Problems solved by technology

[0004] Based on this, it is necessary to provide a brain image processing method that can accurately obtain areas similar to the lesion area in view of the current problem that the area associated with the lesion area cannot be accurately obtained

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