| Literature DB >> 24505739 |
Robert Grimm1, Sebastian Fürst2, Isabel Dregely2, Christoph Forman1, Jana Maria Hutter1, Sibylle I Ziegler2, Stephan Nekolla2, Berthold Kiefer3, Markus Schwaiger2, Joachim Hornegger1, Tobias Block4.
Abstract
Accurate localization and uptake quantification of lesions in the chest and abdomen using PET imaging is challenging due to the respiratory motion during the exam. The advent of hybrid PET/MR systems offers new ways to compensate for respiratory motion without exposing the patient to additional radiation. The use of self-gated reconstructions of a 3D radial stack-of-stars GRE acquisition is proposed to derive a high-resolution MRI motion model. The self-gating signal is used to perform respiratory binning of the simultaneously acquired PET raw data. Matching mu-maps are generated for every bin, and post-reconstruction registration is performed in order to obtain a motion-compensated PET volume from the individual gates. The proposed method is demonstrated in-vivo for three clinical patients. Motion-corrected reconstructions are compared against ungated and gated PET reconstructions. In all cases, motion-induced blurring of lesions in the liver and lung was substantially reduced, without compromising SNR as it is the case for gated reconstructions.Entities:
Mesh:
Year: 2013 PMID: 24505739 DOI: 10.1007/978-3-642-40760-4_3
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv