Accelerated model‐based iterative reconstruction strategy for sparse‐view photoacoustic tomography aided by multi‐channel autoencoder priors

Photoacoustic tomography (PAT) commonly works in sparse view due to data acquisition limitations. However, reconstruction suffers from serious deterioration (e.g., severe artifacts) using traditional algorithms under sparse view. Here, a novel accelerated model‐based iterative reconstruction strateg...

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Vydané v:	Journal of biophotonics Ročník 17; číslo 1; s. e202300281 - n/a
Hlavní autori:	Song, Xianlin, Zhong, Wenhua, Li, Zilong, Peng, Shuchong, Zhang, Hongyu, Wang, Guijun, Dong, Jiaqing, Liu, Xuan, Xu, Xiaoling, Liu, Qiegen
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Weinheim WILEY‐VCH Verlag GmbH & Co. KGaA 01.01.2024 Wiley Subscription Services, Inc
Predmet:	Algorithms Blood vessels Computer Simulation Constraint modelling Data acquisition Experimental data Image Processing, Computer-Assisted - methods Image reconstruction Iterative methods model‐based iterative reconstruction multichannel autoencoder priors Phantoms, Imaging Photoacoustic effect photoacoustic tomography sparse view Tomography Tomography, X-Ray Computed - methods multichannel autoencoder priors model-based iterative reconstruction sparse view photoacoustic tomography
ISSN:	1864-063X, 1864-0648, 1864-0648
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