Peer-Reviewed Publication
Phys Med Biol2026October 2, 2026Journal Article
Impact of depth-of-interaction and spatially-variant point-spread-function model on the performance of ultra-high resolution brain PET.
Tianyi Zeng1, Yassir Najmaoui2, Jiazhen Zhang3, Tommaso Volpi1, Kathryn Fontaine4, Yanis Chemli5, Yifan Hu1, Jean-Dominique Gallezot4, Chen Sun6, Yihuan Lu7, Georges El Fakhri8, Richard E Carson4, Thibault Marin1
1Department of Radiology and Biomedical Imaging, Yale School of Medicine, 330 Cedar St, New Haven, Connecticut, 06520, United States.
2Yale School of Medicine Department of Radiology & Biomedical Imaging, 330 Cedar St, New Haven, Connecticut, 06520, United States.
3Yale Biomedical Imaging Institute, Yale School of Medicine, 330 Cedar St, New Haven, Connecticut, 06520, United States.
4Department of Radiology and Biomedical Imaging, Yale University School of Medicine, 330 Cedar St, New Haven, Connecticut, 06520, United States.
5Department of Radiology and Biomedical Imaging, Yale University, 330 Cedar St, New Haven, Connecticut, 06520, United States.
6United Imaging Healthcare, 2258 Chengbei Rd., Shanghai, 201807, China.
7Shanghai United Imaging Healthcare, 2258 Chengbei Rd, Jiading District, Shanghai, 201807, China.
8Departments of Radiology and Biomedical Imaging, Yale University, 330 Cedar St, New Haven, Connecticut, 06520, United States.
Abstract
To implement a spatially-variant point spread function (VarPSF) model for the NeuroEXPLORER (NX) brain positron emission tomography (PET) scanner in the open-source Yale Reconstruction Toolkit for PET (YRT-PET), and investigate the interplay between depth-of-interaction (DOI) resolution and resolution modeling.
Approach. PSF parameters were estimated from simulated and physically measured poin…
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