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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