| Estimation of regional myocardial mass at risk based on distal arterial lumen volume and length using 3D micro-CT images. | |
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MedLine Citation:
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PMID: 18595659 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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The determination of regional myocardial mass at risk distal to a coronary occlusion provides valuable prognostic information for a patient with coronary artery disease. The coronary arterial system follows a design rule which allows for the use of arterial branch length and lumen volume to estimate regional myocardial mass at risk. Image processing techniques, such as segmentation, skeletonization and arterial network tracking, are presented for extracting anatomical details of the coronary arterial system using micro-computed tomography (micro-CT). Moreover, a method of assigning tissue voxels to their corresponding arterial branches is presented to determine the dependent myocardial region. The proposed micro-CT technique was utilized to investigate the relationship between the sum of the distal coronary arterial branch lengths and volumes to the dependent regional myocardial mass using a polymer cast of a porcine heart. The correlations of the logarithm of the total distal arterial lengths (L) to the logarithm of the regional myocardial mass (M) for the left anterior descending (LAD), left circumflex (LCX) and right coronary (RCA) arteries were log(L)=0.73log(M)+0.09 (R=0.78), log(L)=0.82log(M)+0.05 (R=0.77) and log(L)=0.85log(M)+0.05 (R=0.87), respectively. The correlation of the logarithm of the total distal arterial lumen volumes (V) to the logarithm of the regional myocardial mass for the LAD, LCX and RCA were log(V)=0.93log(M)-1.65 (R=0.81), log(V)=1.02log(M)-1.79 (R=0.78) and log(V)=1.17log(M)-2.10 (R=0.82), respectively. These morphological relations did not change appreciably for diameter truncations of 600-1400microm. The results indicate that the image processing procedures successfully extracted information from a large 3D dataset of the coronary arterial tree to provide prognostic indications in the form of arterial tree parameters and anatomical area at risk. |
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Authors:
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Huy Le; Jerry T Wong; Sabee Molloi |
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Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural Date: 2008-07-01 |
Journal Detail:
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Title: Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Volume: 32 ISSN: 0895-6111 ISO Abbreviation: Comput Med Imaging Graph Publication Date: 2008 Sep |
Date Detail:
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Created Date: 2008-07-21 Completed Date: 2009-01-08 Revised Date: 2011-05-06 |
Medline Journal Info:
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Nlm Unique ID: 8806104 Medline TA: Comput Med Imaging Graph Country: United States |
Other Details:
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Languages: eng Pagination: 488-501 Citation Subset: IM |
Affiliation:
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Department of Radiological Sciences, University of California, Irvine, CA 92697, United States. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Coronary Angiography / methods* Coronary Stenosis / radiography* Humans Imaging, Three-Dimensional / methods* Myocardial Stunning / radiography* Organ Size Prognosis Radiographic Image Enhancement / methods Radiographic Image Interpretation, Computer-Assisted / methods* Reproducibility of Results Risk Assessment / methods* Risk Factors Sensitivity and Specificity Tomography, X-Ray Computed / methods* |
| Grant Support | |
ID/Acronym/Agency:
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R01 HL067159-03/HL/NHLBI NIH HHS; R01 HL67159/HL/NHLBI NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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