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
University of Queensland, Brisbane,
Brisbane & Womens Hospital, Brisbane, Queensland,
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.
This abstract and the presentation materials are available to members only;
a login is required.