Ciprian Catana1, Andre van der Kouwe1, Thomas Benner1, Michael Hamm2, Christian Michel3, Bruce Fischl1, Matthias Schmand3, Bruce R. Rosen1, A. Gregory Sorensen1
1MGH, Radiology, A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; 2Siemens Medical Solutions USA Inc., Charlestown, MA, USA; 3Siemens Medical Solutions USA Inc., Knoxville, TN, USA
Combined PET and MRI systems have recently been developed. Attenuation correction is one of the most important and difficult correction that have to be applied to the PET data. In an integrated scanner, we have to rely on the MR data for obtaining attenuation correction maps. The challenge is that the MR images are not typically directly related to tissue linear attenuation and tissues with very different attenuation properties cannot be easily distinguished using conventional MR sequences. In this work, we studied the effects of misclassifying the bone on PET data quantification in structures of interest using segmented MR images.