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	A novel matrix used in regularization term for model-based photoacoustic reconstructions
	Tong, Tong; Wang, Kun; Tian, Jie
	2018-02-19
会议日期	January 28, 2018 - February 1, 2018
会议地点	San Francisco, CA, United states
关键词	Photoacoustic tomography Image reconstruction Regularization Central-Enhancement Laplace matrix
英文摘要	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.
语种	英语
内容类型	会议论文
源URL	[http://ir.ia.ac.cn/handle/173211/48600]
专题	自动化研究所_中国科学院分子影像重点实验室
通讯作者	Wang, Kun; Tian, Jie
作者单位	Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, 95 Zhongguancun East Road, Beijing, China
推荐引用方式 GB/T 7714	Tong, Tong,Wang, Kun,Tian, Jie. A novel matrix used in regularization term for model-based photoacoustic reconstructions[C]. 见:. San Francisco, CA, United states. January 28, 2018 - February 1, 2018.

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