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Proceedings Paper

A novel matrix used in regularization term for model-based photoacoustic reconstructions
Author(s): Tong Tong; Kun Wang; Jie Tian
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Paper Abstract

In this paper, a novel matrix used in regularization term is proposed to acquire high quality reconstructed image. The use of Central-Enhancement Laplace (CEL) matrix is essentially a improvement of the conventional L2-norm regularization algorithm. By adding this matrix into the regularization term, we can obtain the reconstructed images with higher quality. The use of CEL matrix can enhance the edge information of images while reducing the reconstruction artifacts. Combined with the results of the in-vivo reconstructed images, we can confirm the above properties of this matrix. More importantly, the reconstructed images of L2-norm regularization algorithm using CEL matrix can achieve better reconstruction quality than some of the complex L1-norm regularization algorithms. Due to the flexibility of the matrix center element settings, we can also weigh the smoothness and fineness of the reconstructed image as needed.

Paper Details

Date Published: 19 February 2018
PDF: 7 pages
Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104944R (19 February 2018); doi: 10.1117/12.2288121
Show Author Affiliations
Tong Tong, Institute of Automation (China)
Kun Wang, Institute of Automation (China)
Jie Tian, Institute of Automation (China)


Published in SPIE Proceedings Vol. 10494:
Photons Plus Ultrasound: Imaging and Sensing 2018
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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