Document Detail


An accurate and reproducible scheme for quantification of coronary artery calcification in CT scans.
MedLine Citation:
PMID:  17272088     Owner:  NLM     Status:  PubMed-not-MEDLINE    
Abstract/OtherAbstract:
The coronary artery disease is a major cause of deaths in the western world. One indicator for coronary artery disease (CAD) is coronary artery calcification (CAC). An accurate and reproducible scheme is desired to monitor the progression of patient's coronary calcification in follow-up studies. Traditional approaches for CAC estimation lack to provide accurate and reproducible results. In This work, a new adaptive and stochastic 3D method has been proposed by employing a modified expectation-maximisation (MEM) algorithm. It is less sensitive to partial volume effects, motion effects, slice thickness and low dose. Accuracy of the proposed method was measured by a cardiac CT stationary phantom containing 6 calcium inserts of predetermined size and density that were scanned 90 times using 15 different protocols based on slice thickness and radiation. Reproducibility was measured in 35 patients who were each scanned twice with the patient being repositioned before the second scan. Compared with the Agatston based method, it is shown that the proposed algorithm gives better results in terms of accuracy and reproducibility.
Authors:
Jamshid Dehmeshki; Xujiong Ye; Frank Wang; Xin Yu Lin; M Abaei; M M Siddique; S D Qanadli
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference     Volume:  3     ISSN:  1557-170X     ISO Abbreviation:  Conf Proc IEEE Eng Med Biol Soc     Publication Date:  2004  
Date Detail:
Created Date:  2007-02-02     Completed Date:  2007-09-18     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101243413     Medline TA:  Conf Proc IEEE Eng Med Biol Soc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1918-21     Citation Subset:  -    
Affiliation:
Medicsight PLC, London, UK.
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