engleski

3-D Image Analysis of Intra-cerebral Brain Hemorrhage from Digitized CT films

A new 3D technique for the segmentation and quantification of human spontaneous intracerebral brain hemorrhage (ICH) is presented in this paper. The algorithm for ICH primary region segmentation uses the spatially weighted K-means histogram-based clustering algorithm. The ICH edema region segmentation algorithm employs an iterative morphological processing of the ICH brain data. A volume rendering technique is used for the effective 3D visualization of ICH segmented regions. A computer program is developed for use in the human spontaneous ICH study involving large number of patients. Experimental measurements and visualization results are presented which were computed on real ICH patient brain data.

image analysis; brain hemorrhage; computed tomography

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