Abstract
Human brain function is studied by averaging many PET images in order to enhance the signal to noise ratio of weak group-specific patterns caused by medication, illness, or functional activation. Present registration methods by Woods and Friston, (SPM), compute 3 translations and 3 rotations to register each PET image to a reference anatomical atlas using a 6 degree of freedom optimization method. By using only a 2 degree of freedom optimization method, the present method decreases the computing time down to 70 sec in a SUN Sparc2 CPU; this is a speed increment by a factor of 3 to 15 times over previous methods. Experimental results for 24 FDG-PET images also indicate that the present method improves the accuracy of the registration to a mean error of 0.48 mm and a maximum error of 2.47 mm.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 850-851 |
| Number of pages | 2 |
| Journal | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
| Volume | 2 |
| State | Published - 1996 |
| Externally published | Yes |
| 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 |
All Science Journal Classification (ASJC) codes
- Signal Processing
- Health Informatics
- Computer Vision and Pattern Recognition
- Biomedical Engineering