Quantification of intramural calcification in coronary intravascular ultrasound images with automated image analysis - 09/09/11
Abstract |
Background Recent studies have documented the utility of intravascular ultrasonography in quantifying coronary morphologic characteristics and determining an appropriate intervention. Unfortunately, its potential for quantifying lesion calcification is limited by subjective evaluation and manual tracing. The aim of this study was to develop an objective automated method for quantifying calcification in intracoronary images with digital image analysis.
Methods Images of human coronary arteries acquired with a 30 MHz intracoronary ultrasound catheter were evaluated with digital image analysis and compared with manual tracings. Calcifications were automatically identified as highly echogenic regions detected by global thresholding within sectors of acoustic shadowing defined as regions devoid of texture.
Results The mean percentage agreement, sensitivity, and specificity of detecting calcification in 1-degree sectors of calcified vessels were 82%, 73%, and 87%, respectively. Similar results were obtained in noncalcified images.
Conclusion The accuracy of this automated technique was comparable to interoperator and intraoperator variability in manually tracing calcification. (Am Heart J 1998;136:78-86.)
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 | From the Department of Biomedical Engineering and the Department of Cardiology, The Cleveland Clinic Foundation. |
| Funds for issue procurement were provided by National Institutes of Health SCOR grant HL33713. Dr. Vince is funded in part as a Fellow of the American Heart Association, Northeast Ohio Affiliate, Inc. |
 | Reprint requests: D. Geoffrey Vince, PhD, Department of Biomedical Engineering/Wb3, The Cleveland Clinic Foundation, 9500 Euclid Ave., Cleveland, OH 44195. |
| 4/1/88876 |
Vol 136 - N° 1
P. 78-86 - juillet 1998 Retour au numéro
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