Optical surface information‐based respiratory phase‐sorting and motion‐incorporated reconstruction for SPECT imaging
Our novel respiratory signal extraction approach based on OSI demonstrated superior accuracy and reliability compared to a data-driven method. Applying motion-incorporated SPECT reconstruction using these accurate breathing signals has the potential to enhance image quality and improve absorbed dose quantification in radiopharmaceutical therapy. The relevant reconstruction algorithms are also made available for public use in the open-source library PyTomography.
Authors
- Lucas Polson (ORCID: https://orcid.org/0000-0002-3182-2782)
- Arman Rahmim (ORCID: https://orcid.org/0000-0002-9980-2403)
- Yibao Zhang (ORCID: https://orcid.org/0000-0003-3658-0687)
- Carlos Uribe (ORCID: https://orcid.org/0000-0003-3127-7478)
- Chenguang Li (ORCID: https://orcid.org/0000-0002-4058-2901)
- Xuzhou Wu
Institutions
- University of British Columbia (CA)
- Peking University (CN)
- Peking University Cancer Hospital (CN)
- Tsinghua–Berkeley Shenzhen Institute (CN)
- Tsinghua University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-03-24
- DOI
- https://doi.org/10.1002/mp.17769
- Citations
- 1
- Primary Topic
- Medical Imaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Beijing Municipality
- Canadian Institutes of Health Research
- Natural Sciences and Engineering Research Council of Canada