Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT

Authors

Alexandre B. Bousse, University College London
Ottavia Bertolli, University College London
David Atkinson, University College London
Simon Arridge, University College London
Sebastien Ourselin, University College London
Brian F. Hutton, University College London, University of Wollongong
Kris Thielemans, University College London

RIS ID

104987

Publication Details

Bousse, A., Bertolli, O., Atkinson, D., Arridge, S., Ourselin, S., Hutton, B. F. & Thielemans, K. (2016). Maximum-likelihood joint image reconstruction and motion estimation with misaligned attenuation in TOF-PET/CT. Physics in Medicine and Biology, 61 (3), 11-19.

Abstract

This work is an extension of our recent work on joint activity reconstruction/motion estimation (JRM) from positron emission tomography (PET) data. We performed JRM by maximization of the penalized log-likelihood in which the probabilistic model assumes that the same motion field affects both the activity distribution and the attenuation map. Our previous results showed that JRM can successfully reconstruct the activity distribution when the attenuation map is misaligned with the PET data, but converges slowly due to the significant cross-talk in the likelihood. In this paper, we utilize time-of-flight PET for JRM and demonstrate that the convergence speed is significantly improved compared to JRM with conventional PET data.