Iterative optimization algorithm with structural prior for artifacts removal of photoacoustic imaging

In reality, photoacoustic imaging (PAI) is generally influenced by artifacts caused by sparse array or limited view. In this work, to balance the computing cost and artifact removal performance, we propose an iterative optimization method that does not need to repeat solving forward model for every...

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Bibliographic Details

Published in:	Photoacoustics
Main Authors:	Yu Zhang, Shuang Li, Yibing Wang, Yu Sun, Tingting Huang, Wenyi Xiang, Changhui Li
Format:	Article
Language:	English
Published:	Elsevier 2025-08-01
Subjects:	Iterative regularization method Structural prior Probability matrix Random partial array Sparse sensor distribution Artifact removal
Online Access:	http://www.sciencedirect.com/science/article/pii/S2213597925000497