| Evaluation of the optimal image reconstruction interval for coronary artery imaging using 64-slice computed tomography. | |
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MedLine Citation:
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PMID: 17611868 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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BACKGROUND: Cardiac computed tomography (CT) has become an established complement in cardiac imaging. Thus, optimized image quality is diagnostically crucial. PURPOSE: To prospectively evaluate whether, by using 64-slice CT, a specific reconstruction interval can be identified providing best image quality for all coronary artery segments and each individual coronary artery. MATERIAL AND METHODS: 311 coronary segments of 14 men and seven women were analyzed using 64-slice CT. Data reconstruction was performed in 5% increments from 5-100% of the R-R interval. Four experienced observers independently evaluated image quality of the coronary arteries according to the AHA classification. A three-point ranking scale was applied: 1, very poor, no evaluation possible; 2, diagnostically sufficient quality; 3, highest image quality, no artifacts. RESULTS: The best reconstruction point for all segments was found to be 65% of the R-R interval (mean value 2.4+/-0.5; P<0.05). On a per-artery basis, best image quality was again achieved at 65% of the R-R interval: RCA 2.2+/-0.4, LCA 2.4+/-0.5, LM 2.5+/-0.2, LAD 2.3+/-0.4, LCX 2.3+/-0.5. CONCLUSION: By using 64-slice CT, the need for adjusting the reconstruction point to each coronary segment might be overcome. Best image quality was achieved with image reconstruction at 65% of the R-R interval for all coronary segments as well as each coronary artery. |
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Authors:
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M Weininger; C Ritter; M Beer; D Hahn; M Beissert |
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Publication Detail:
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Type: Clinical Trial; Journal Article |
Journal Detail:
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Title: Acta radiologica (Stockholm, Sweden : 1987) Volume: 48 ISSN: 0284-1851 ISO Abbreviation: Acta Radiol Publication Date: 2007 Jul |
Date Detail:
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Created Date: 2007-07-05 Completed Date: 2007-08-20 Revised Date: 2007-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8706123 Medline TA: Acta Radiol Country: Sweden |
Other Details:
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Languages: eng Pagination: 620-7 Citation Subset: IM |
Affiliation:
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Department of Radiology, University Hospital of Würzburg, Würzburg, Germany. weininger@roentgen.uni-wuerzburg.de |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Coronary Angiography / methods* Coronary Artery Disease / diagnosis* Female Humans Image Processing, Computer-Assisted / methods* Male Middle Aged Observer Variation Prospective Studies Reproducibility of Results Time Factors Tomography, X-Ray Computed / methods* |
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