Abstract #1397
Probabilistic Atlas-Based Generation of Continuous-Valued Attenuation Correction Maps for Hybrid MR-PET Imaging
Kevin T. Chen 1,2 , David Izquierdo-Garcia 2 , Clare Poynton 2 , Daniel B. Chonde 2,3 , and Ciprian Catana 2
1
Health Sciences and Technology,
Massachusetts Institute of Technology, Cambridge, MA,
United States,
2
A.
A. Martinos Center for Biomedical Imaging, Massachusetts
General Hospital, Harvard Medical School, Charlestown,
MA, United States,
3
Biophysics,
Harvard University, Boston, MA, United States
We have implemented a method of generating
continuous-valued attenuation coefficient maps for PET
data correction in hybrid MR-PET scanners. This method
combines atlas coregistration along with a trained
classifier to provide information about subject local
anatomy.
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