Abstract
Traditional autoradiographic image analysis has been restricted to the assessment of local cerebral blood flow (CBF) or glucose utilization (ICMRgl) in individual brains, with repeated measurements from the same animal. It is advantageous, however, to generate a `mean' image representing the group trend of multiple replicate studies, and to a dynamic function for tracking CBF changes. We used an affine transformation to map corresponding sections into a template to produce an averaged brain. CBF values were recorded as a profile while scanning a line on an averaged section. We used an affine transformation to perform fractal interpolation for each of the CBF profiles. These interpolation functions can serve as modeling of CBF variations. The fractal dimension for each of the interpolation functions was also calculated.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 698-699 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| State | Published - Dec 1 1996 |
| Event | Proceedings of the 1996 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Part 2 (of 5) - Amsterdam, Neth Duration: Oct 31 1996 → Nov 3 1996 |
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics