NDLI: Redundancy information induced edge-preserving prior for perfusion CT image reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Hua Zhang Jianhua Ma Zhengrong Liang Jing Huang Yi Fan Hongbing Lu Chen, W.
Copyright Year	2011
Description	Author affiliation: Department of BioEEmedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China (Jing Huang) \|\| Department of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China (Hua Zhang; Chen, W.) \|\| Department of Biomedical Engineering, Fourth Military Medical University, Xi'An, Shaanxi 710032 China (Hongbing Lu) \|\| School of Biomedical Engineering of the Southern Medical University, Guangzhou 510515 China (Jianhua Ma) \|\| Department of Radiology, State University of New York, Stony Brook, 11794, USA (Zhengrong Liang; Yi Fan)
Abstract	With the widespread use of perfusion X-ray computed tomography (PCT) imaging technique in clinic, the associated radiation dose has arisen a significant concern to patients because of the multiple sequential scans. Reducing the x-ray exposure as low as possible has been of the major endeavors in PCT fields. During the PCT imaging, the CT intensity (HU) of region of interest (ROI) is changing after the contrast injected into patient. However, the most anatomical structure information of the images from different scan times does not change significantly. In other words, huge similar redundant information can be found among the time-series PCT images. With this observation, in this paper, by exploiting the redundancy information between the pre-contrast image and the enhanced image, we propose a new the edge-preserving prior (prNLMP) for high quality image reconstruction in case of low-mAs scan protocol. Evaluations with the simulated low-dose clinical brain PCT datasets clearly demonstrate that the presented method achieves higher accuracy of image reconstruction with lower image noise level, and obtains the noticeable kinetic enhanced details of the image and the associated hemodynamic parameter maps.
Starting Page	2597
Ending Page	2601
File Size	1420102
Page Count	5
File Format	PDF
ISBN	9781467301183
ISSN	10823654
e-ISBN	9781467301206
DOI	10.1109/NSSMIC.2011.6152699
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-23
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical imaging Optimization Noise Computed tomography Image restoration
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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