Signal features of the atherosclerotic plaque at 3.0 Tesla versus 1.5 Tesla: Impact on automatic classification

• Published in: Journal of magnetic resonance imaging Vol. 28; no. 4; pp. 987 - 995
• Main Authors: Kerwin, William S., Liu, Fei, Yarnykh, Vasily, Underhill, Hunter, Oikawa, Minako, Yu, Wei, Hatsukami, Thomas S., Yuan, Chun
• Format: Journal Article
• Language: English
• Published: Hoboken Wiley Subscription Services, Inc., A Wiley Company 01.10.2008
• Subjects: Aged; Algorithms; atherosclerosis; Atherosclerosis - classification; carotid artery; Carotid Stenosis - pathology; Contrast Media; Female; field strength; Gadolinium DTPA; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging - methods; Male; MRI; segmentation; Signal Processing, Computer-Assisted
• ISSN: 1053-1807; 1522-2586
• DOI: 10.1002/jmri.21529

Purpose To investigate the impact of different field strengths on determining plaque composition with an automatic classifier. Materials and Methods We applied a previously developed automatic classifier—the morphology enhanced probabilistic plaque segmentation (MEPPS) algorithm—to images from 20 su...