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Abstract #0770

On the Reproducibility of MR-Based PET Attenuation Correction Using a Probabilistic Atlas-Based Method

Kevin T. Chen1, 2, Daniel B. Chonde, 23, Ciprian Catana4

1Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States; 2Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States; 3Biophysics, Harvard University, Boston, MA, United States; 4Massachusetts General Hospital, Charlestown, MA, United States

We have previously implemented an MR-based PET attenuation correction (AC) method using dual-echo ultrashort echo time (DUTE) and morphological MR images to segment the tissue classes most relevant for attenuation correction (i.e. bone, soft tissue and air cavities). Attenuation maps generated from these segmented images were previously demonstrated to agree well with those generated using the sliver standard segmented CT method. In this work, the reproducibility of the probabilistic atlas-based method for generating the attenuation maps was studied by comparing the maps obtained from the MR data acquired in nine subjects at three time points.