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	A fast algorithm for high order total variation minimization based interior tomography
	Zhao, Zhenhua ; Yang, Jiansheng ; Jiang, Ming
	2015
关键词	Interior tomography MHOT l(1)-regularized problem split bregman iteration OS-SART LINEAR INVERSE PROBLEMS THRESHOLDING ALGORITHM IMAGE-RECONSTRUCTION CT
英文摘要	Interior tomography as a promising X-ray imaging technique has received increasing attention in medical imaging field. In our previous works, we proposed a high-order total variation (HOT) minimization method for interior tomography and proved that the region of interest (ROI) can be reconstructed accurately by minimizing the HOT if the object image is piecewise polynomial within the ROI. In this paper, we propose a modified HOT (MHOT) and develop a fast MHOT minimization algorithm for interior tomography, based on split Bregman iteration and ordered-subset simultaneous algebraic reconstruction techniques (OS-SART). Numerical simulation demonstrates that our algorithm is computationally efficient and can be applied to obtain high-quality reconstructed image.; National Basic Research Program of China (973 Program) [2011CB809105]; National Science Foundation of China [61421062, 10990013]; Microsoft Research of Asia; SCI(E); EI; PubMed; ARTICLE; jsyang@pku.edu.cn; 3; 349-364; 23
语种	英语
出处	PubMed ; EI ; SCI
出版者	JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/417879]
专题	数学科学学院
推荐引用方式 GB/T 7714	Zhao, Zhenhua,Yang, Jiansheng,Jiang, Ming. A fast algorithm for high order total variation minimization based interior tomography. 2015-01-01.

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