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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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