3-D image analysis of intra-cerebral brain hemorrhage from digitized CT films.
A new 3-D technique for the segmentation and quantification of human spontaneous intra-cerebral 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 3-D visualization of ICH segmented regions. A computer program is developed for use in the human spontaneous ICH study involving a large number of patients. Experimental measurements and visualization results are presented which were computed on real ICH patient brain data.
Loncaric
S
S
Department of Electrical and Computer Engineering, University of Cincinnati, OH 45221, USA.
Dhawan
A P
AP
Broderick
J
J
Brott
T
T
D000465:Algorithms; D001929:Brain Edema / Q000000981:diagnostic imaging; D002543:Cerebral Hemorrhage / Q000000981:diagnostic imaging*; D006801:Humans; D011856:Radiographic Image Enhancement / Q000379:methods*; D012984:Software; D014057:Tomography, X-Ray Computed / Q000379:methods* / Q000706:statistics & numerical data