Roger P . Woods , John C . Mazziotta , and Simon R . Cherry MRI - PET Registration with Automated Algorithm

Objective: We have previously reported an automated method for withinmodality (e.g., PET-te-PET) image alignment. We now describe modifications to this method that allow for cross-modality registration of MRI and PET brain images obtained from a single subject. Methods: This method does not require fiducial markers and the user is not required to identify common structures on the two image sets. To align the images, the algorithm seeks to minimize the standard deviation of the PET pixel values that correspond to each MRI pixel value. The MR images must be edited to exclude nonbrain regions prior to using the algorithm. Results and Conclusion: The method has been validated quantitatively using data from patients with stereotaxic fiducial markers rigidly fixed in the skull. Maximal three-dimensional errors of <3 mm and mean three-dimensional errors of <2 mm were measured. Computation time on a SPARCstation IPX varies from 3 to 9 min to align MR image sets with [18F]f1uorodeoxyglucose PET images. The MR alignment with noisy HZISO PET images typically requires 2~30 min .