CASIA OpenIR  > 中国科学院分子影像重点实验室
A novel matrix used in regularization term for model-based photoacoustic reconstructions
Tong, Tong; Wang, Kun; Tian, Jie
2018-02-19
Conference NamePhotons Plus Ultrasound: Imaging and Sensing 2018
Conference DateJanuary 28, 2018 - February 1, 2018
Conference PlaceSan Francisco, CA, United states
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 confifirm 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 flflexibility of the matrix center element settings, we can also weigh the smoothness and fifineness of the reconstructed image as needed.
KeywordPhotoacoustic tomography Image reconstruction Regularization Central-Enhancement Laplace matrix
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/48600
Collection中国科学院分子影像重点实验室
Corresponding AuthorWang, Kun; Tian, Jie
AffiliationKey Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing, China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Tong, Tong,Wang, Kun,Tian, Jie. A novel matrix used in regularization term for model-based photoacoustic reconstructions[C],2018.
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