March 4, 2024, 5:45 a.m. | Kibo Ote, Fumio Hashimoto, Yuya Onishi, Yasuomi Ouchi

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.00394v1 Announce Type: cross
Abstract: To converge the block iterative method in image reconstruction for positron emission tomography (PET), careful control of relaxation parameters is required, which is a challenging task. The automatic determination of relaxation parameters for list-mode reconstructions also remains challenging. Therefore, a different approach than controlling relaxation parameters would be desired by list-mode PET reconstruction. In this study, we propose a list-mode maximum likelihood Dykstra-like splitting PET reconstruction (LM-MLDS). LM-MLDS converges the list-mode block iterative method by …

abstract arxiv block control converge cs.cv eess.iv image iterative list parameters pet physics.med-ph type

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US

Research Engineer

@ Allora Labs | Remote

Ecosystem Manager

@ Allora Labs | Remote

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US