Abstract #2189

T1-enhanced segmentation and selection of linear attenuation coefficients for PET/MRI attenuation correction in head/neck applications

Meher Juttukonda¹, Bryant Mersereau¹, Yi Su², Tammie Benzinger², David Lalush¹, and Hongyu An²

¹Joint Department of Biomedical Engineering, The University of North Carolina at Chapel Hill and North Carolina State University, Chapel Hill, NC, United States, ²Mallinckrodt Institute of Radiology, Washington University, St. Louis, MO, United States

We propose a mapping-based, quantitative T₁ method with patient-specific thresholding for tissue segmentation and assignment of continuous-valued LACs for soft tissues and bone. The proposed method utilizes images from a dual flip angle, dual echo UTE-MR acquisition to segment air, bone, GM, WM, CSF, fat and soft tissue. A conversion from MR relaxation rate R₁ is then utilized to derive continuous-valued LACs to major tissues in the head/neck. The method has been validated in PET data from 23 subjects and has been shown to outperform the vendor UTE method in PET reconstruction accuracy.

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