Abstract
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.
Original language | English (US) |
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Pages (from-to) | 207-216 |
Number of pages | 10 |
Journal | Computer Methods and Programs in Biomedicine |
Volume | 46 |
Issue number | 3 |
DOIs | |
State | Published - Apr 1995 |
Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
- Health Informatics
Keywords
- Brain hemorrhage
- Brain image segmentation
- Edema-segmentation
- Morphology