Application of <inline-formula><tex-math notation="LaTeX">$L_{1}-L_{2}$</tex-math></inline-formula> Regularization in Sparse-View Photoacoustic Imaging Reconstruction

Application of <inline-formula><tex-math notation="LaTeX">$L_{1}-L_{2}$</tex-math></inline-formula> Regularization in Sparse-View Photoacoustic Imaging Reconstruction

Photoacoustic imaging (PAI) is an advanced technique used to reconstruct the distribution of energy absorption in tissues, even when ultrasound signals are incomplete and noisy. However, the reconstruction process is challenging due to the ill-posed nature of the problem. In order to address this ch...

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Bibliographic Details
Main Authors: Mengyu Wang, Shuo Dai, Xin Wang, Xueyan Liu
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Photonics Journal
Subjects:
Photoacoustic imaging
image reconstruction
regularization
Sparse sampling
<named-content xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" content-type="math" xlink:type="simple"> <inline-formula> <tex-math notation="LaTeX">$L_{1}-L_{2}$</tex-math> </inline-formula> </named-content>
difference of convex algorithm
Online Access:https://ieeexplore.ieee.org/document/10499803/
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