An algorithm for direct 4-D PET image reconstruction/non-rigid motion estimation with limited MRI prior information

Authors

Alexandre B. Bousse, University College London
Jieqing Jiao, University College London
Luis Pizarro, University College London
Kris Thielemans, University College London
David Atkinson, University College London
Sebastien Ourselin, University College London
Simon Arridge, University College London
Brian F. Hutton, University of Wollongong, University College London

RIS ID

107205

Publication Details

Bousse, A., Jiao, J., Pizarro, L., Thielemans, K., Atkinson, D., Ourselin, S., Arridge, S. & Hutton, B. F. (2014). An algorithm for direct 4-D PET image reconstruction/non-rigid motion estimation with limited MRI prior information. 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (pp. 1-3). United States: Institute of Electrical and Electronics Engineers.

Abstract

MP-JRM performs better in situations where JRM and MRI-IR under-perform. This is because MP-JR relies on both MRI and PET data, whereas JRM and MRI-IR rely on one modality only. In addition, results tend to show that with temporal smoothing on B-spline parameters, a subset of MRI volumes gives enough information to compensate for motion. Further work is in progress to analyse variance and bias as well as reconstruction from real gated data.