Data-Driven Motion Correction Strategy for Dynamic Brain PET using Ultra-fast List-mode Reconstruction-Reference-Cited by-同舟云学术

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Data-Driven Motion Correction Strategy for Dynamic Brain PET using Ultra-fast List-mode Reconstruction

Published:2022-11-05 Issue: Volume:62 Page:1-3
ISSN:
Container-title:2022 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
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Author:

Cheng Ju-Chieh Kevin¹,Reimers Erik²,Sossi Vesna³

Affiliation:

1. The University of British Columbia,Pacific Parkinson’s Research Centre and Department of Physics and Astronomy,Vancouver,Canada

2. The University of British Columbia,Department of Biomedical Engineering,Vancouver,Canada

3. The University of British Columbia,Department of Physics and Astronomy,Vancouver,Canada,B.C.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10398888/10398889/10399179.pdf?arnumber=10399179

Reference2 articles.

1. Ultra-Fast List-Mode Reconstruction of Short PET Frames and Example Applications

2. Optimizing the frame duration for data‐driven rigid motion estimation in brain PET imaging

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