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Abstract #0785

Development and Evaluation of a UTE-based Method for Attenuation Correction in MR-PET Neurologic Studies

Meher Juttukonda 1 , Yasheng Chen 2 , Yi Su 3 , Tammie Benzinger 3 , Brian Rubin 3 , David Lalush 1 , and Hongyu An 2

1 Biomedical Engineering, University of North Carolina, Chapel Hill, North Carolina, United States, 2 Radiology, University of North Carolina, Chapel Hill, North Carolina, United States, 3 Radiology, Washington University, St. Louis, Missouri, United States

In this study, we have developed and evaluated a UTE- and R2*-based segmentation method for performing attenuation correction and compared it to a published method. Our results show that the proposed method outperforms the existing method in the accuracy of bone/air segmentation as well as in the accuracy of simulated PET images reconstructed using the attenuation maps derived from the segmentation methods.

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