Comparative Studies of Reconstruction Algorithms for Sparse-View Photoacoustic Tomography

Inverse source reconstruction is one of the most challenging problems in photoacoustic tomography (PAT) due to its ill-posed nature. Despite the extensive work done by researchers on this problem, there is currently no universally accepted solution. Regularization methods assume a significant role i...

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Veröffentlicht in:	IEEE photonics journal Jg. 15; H. 6; S. 1 - 8
Hauptverfasser:	Liu, Xueyan, Dai, Shuo, Wang, Xin, Wang, Mengyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.12.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Biomedical imaging Comparative studies hard thresholding algorithms Image reconstruction Inverse problems Iterative algorithms Iterative methods medical imaging Noise measurement Optimization Photoacoustic effect Photoacoustic tomography Reconstruction Reconstruction algorithms Regularization Regularization methods Signal processing algorithms Signal to noise ratio sparse-view acquisition Thresholding (Imaging) Tomography
ISSN:	1943-0655, 1943-0647
Online-Zugang:	Volltext
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