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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")

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