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Abstract #0413

Regression based Pseudo-CT Creation from Multimodal Images for PET Attenuation Correction in Hybrid PET-MRI

Yaniv Gal 1 , Sze-Liang Chan 1 , Rosalind Lindy Jeffree 2 , Michael Fay 1,2 , Paul Thomas 1,2 , Stuart Crozier 1 , and Zhengyi Yang 1

1 University of Queensland, Brisbane, Queensland, Australia, 2 Royal Brisbane & Womens Hospital, Brisbane, Queensland, Australia

Inadequate photon attenuation correction (AC) in Positron Emission Tomography (PET) has serious implications, such as inaccurate cancer staging or failure to detect tumours. In hybrid PET-MRI, however, attenuation has to be corrected in the absence of CT. MRI-based attenuation correction AC (MRAC) is challenging because there is no direct correspondence between photon attenuation coefficient and image intensity in conventional MRI. We present a regression based, subject specific, MRAC for PET-MRI using the raw PET image without AC and multiple MR images, including structural MRI, pre- and post-contrast dynamic contract enhanced MRI, all of which are clinically available for most oncology patients.

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