Speaker
Richard Laforest
(Washington University)
Description
Attenuation Correction in simultaneous PET/MR was originally implement using a two-point DIXON which neglected the bones. More recent implementations of MR based attenuation strategy in PET/MR involve either a fast UTE or a bone atlas which allows for inclusion of bones. However, soft-tissues are still segmented to provide anatomical attenuation into five compartment identified as air, lungs, fat, water and bones. Evaluation of the quantitative performance of these recently implemented attenuation methods is needed and this abstract presents the development and performance of a lesion insertion tool which to insert a spherical lesion into human body habitus from PET/MR images and generate MonteCarlo based sinogram data and images. The tool was evaluated using digital phantoms and with FDG PET data sets from cervical cancer patient imaged by PET/MRI. For those patients, a prior CT was also registered to the MR based attenuation correction to provide a comparative CT based attenuation correction. A validated tool will be useful for efficient evaluation of MR-based attenuation correction in simultaneous PET/MR and will be faster and easier to use than complex and lengthy simulation studies.
Primary author
Richard Laforest
(Washington University)
Co-author
Madhudsudan Savaikar
(Washington University medical School)
