Abstract
This paper describes specifically a local-binary thresholding method and a new global-multiple thresholding technique developed for MR image segmentation and analysis. The initial testing results on their segmentation performance are presented, followed by a comparative analysis of the two methods and their ability to extract different types of normal and abnormal brain structures - the brain matter itself, tumors, regions of edema surrounding lesions, Multiple Sclerosis lesions, and the ventricles of the brain. The analysis and experimental results show that the global multiple thresholding techniques are more than adequate for extracting regions that correspond to the major brain structures, while local binary thresholding is helpful for more accurate delineation of small lesions such as those produced by MS, and for the precise refinement of lesion boundaries.
| Original language | American English |
|---|---|
| Pages (from-to) | 144-153 |
| Number of pages | 10 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 1450 |
| State | Published - 1991 |
| Event | Biomedical Image Processing II - San Jose, CA, USA Duration: Feb 25 1991 → Feb 27 1991 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering