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)|
|Number of pages||2|
|Journal||Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings|
|State||Published - Dec 1 1996|
All Science Journal Classification (ASJC) codes