Title :
Image analysis and 3-D visualization of intracerebral brain hemorrhage
Author :
Dhawan, A.P. ; Loncaric, Sven ; Hitt, Kari ; Broderick, J. ; Brott, Thomas
Author_Institution :
Dept. of Electr. & Comput. Eng., Cincinnati Univ., OH, USA
Abstract :
A new 3D technique for the human spontaneous intracerebral brain hemorrhage (ICH) region segmentation and quantification is presented in this paper. The ICH primary region segmentation algorithm uses the 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. Some experimental measurements and visualization results are presented which were computed on real ICH patient brain data
Keywords :
data visualisation; image segmentation; medical image processing; solid modelling; 3D visualization; K-means histogram-based clustering; brain data; image analysis; iterative morphological processing; region quantification; region segmentation; spontaneous intracerebral brain hemorrhage; volume rendering; Clustering algorithms; Computed tomography; Data visualization; Hemorrhaging; Humans; Image analysis; Image segmentation; Interpolation; Iterative algorithms; Nervous system;
Conference_Titel :
Computer-Based Medical Systems, 1993. Proceedings of Sixth Annual IEEE Symposium on
Conference_Location :
Ann Arbor, MI
Print_ISBN :
0-8186-3752-8
DOI :
10.1109/CBMS.1993.262976
