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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