Histogram segmentation of FLAIR images

Details Histogram segmentation of FLAIR images Histogram segmentation of FLAIR images

2011-08-09

2011-08-09

Chen, Tse (Department: 3777)

Image analysis

Applications

Biomedical applications

C382S128000, C382S130000, C382S132000, C600S407000, C600S410000

Reexamination Certificate

active

07995825

ABSTRACT:
A method for classifying tissue in a magnetic resonance image, and particularly for measuring a volume of pathological tissue such as white tissue hyperintensity (leukoaraiosis) in the brain based on the segmentation of the intensity histogram of fluid attenuated inversion recovery (FLAIR) images is described. A magnetic resonance image of the brain of a subject is acquired, and a pixel intensity histogram is constructed from the image. A statistically-based regression analysis is applied to the histogram to determine upper and lower threshold values, which define different types of brain tissue, particularly normal brain, cerebral spinal fluid (CSF), or lesion.

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