Document Detail

Iterative total-variation reconstruction versus weighted filtered-backprojection reconstruction with edge-preserving filtering.
MedLine Citation:
PMID:  23618896     Owner:  NLM     Status:  Publisher    
Iterative image reconstruction with the total-variation (TV) constraint has become an active research area in recent years, especially in x-ray CT and MRI. Based on Green's one-step-late algorithm, this paper develops a transmission noise weighted iterative algorithm with a TV prior. This paper compares the reconstructions from this iterative TV algorithm with reconstructions from our previously developed non-iterative reconstruction method that consists of a noise-weighted filtered backprojection (FBP) reconstruction algorithm and a nonlinear edge-preserving post filtering algorithm. This paper gives a mathematical proof that the noise-weighted FBP provides an optimal solution. The results from both methods are compared using clinical data and computer simulation data. The two methods give comparable image quality, while the non-iterative method has the advantage of requiring much shorter computation times.
Gengsheng L Zeng; Ya Li; Alex Zamyatin
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2013-4-26
Journal Detail:
Title:  Physics in medicine and biology     Volume:  58     ISSN:  1361-6560     ISO Abbreviation:  Phys Med Biol     Publication Date:  2013 Apr 
Date Detail:
Created Date:  2013-4-26     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0401220     Medline TA:  Phys Med Biol     Country:  -    
Other Details:
Languages:  ENG     Pagination:  3413-3431     Citation Subset:  -    
Department of Radiology, Utah Center for Advanced Imaging Research (UCAIR), University of Utah, Salt Lake City, UT 84108, USA.
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