PET Rebinning with Regularized Density Splines
A. Boquet-Pujadas, P. del Aguila Pla, M. Unser
Proceedings of the Twentieth IEEE International Symposium on Biomedical Imaging (ISBI'23), Cartagena de Indias, Republic of Colombia, April 18-21, 2023, paper no. 615.
PET reconstruction algorithms have long relied on sinogram rebinning. However, as detectors grow smaller in a recent wave of cutting-edge scanners, individual sensors no longer accrue hundreds of photons. Instead, most detect a single photon or none at all, effectively turning sinogram data into point-cloud measurements. The highly heterogeneous sensitivity of these scanners is another issue. We approach sinogram rebinning in the face of these challenges with a density-estimation framework that promotes knot sparsity in an underlying spline basis.
@INPROCEEDINGS(http://bigwww.epfl.ch/publications/boquetpujadas2301.html, AUTHOR="Boquet-Pujadas, A. and del Aguila Pla, P. and Unser, M.", TITLE="{PET} Rebinning with Regularized Density Splines", BOOKTITLE="Proceedings of the Twentieth IEEE International Symposium on Biomedical Imaging ({ISBI'23})", YEAR="2023", editor="", volume="", series="", pages="", address="Cartagena de Indias, Republic of Colombia", month="April 18-21,", organization="", publisher="", note="paper no.\ 615")