Signal features of the atherosclerotic plaque at 3.0 Tesla versus 1.5 Tesla: impact on automatic classification.
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 s...
| Published in: | Journal of Magnetic Resonance Imaging Vol. 28; no. 4; pp. 987 - 996 |
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| Main Authors: | , , , , , , , , , , , , , , , |
| Format: | research Journal Article |
| Published: |
Wiley-Blackwell
Oct2008
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105561047&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105561047 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10531807 O63 jtl: Journal of Magnetic Resonance Imaging issn: 10531807 maglogo: Y pubinfo: dt: Oct2008 vid: 28 iid: 4 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 105561047 105561047 NLM18821634 2010069897 10.1002/jmri.21529 NLM18821634 PMC2808211 105561047 ppf: 987 ppct: 9 formats: tig: atl: Signal features of the atherosclerotic plaque at 3.0 Tesla versus 1.5 Tesla: impact on automatic classification. aug: au: Kerwin WS Liu F Yarnykh V Underhill H Oikawa M Yu W Hatsukami TS Yuan C Kerwin, William S Liu, Fei Yarnykh, Vasily Underhill, Hunter Oikawa, Minako Yu, Wei Hatsukami, Thomas S Yuan, Chun affil: Department of Radiology, University of Washington, Seattle, Washington 98109, USA sug: subj: Atherosclerosis Classification Carotid Stenosis Pathology Magnetic Resonance Imaging Methods Aged Algorithms Contrast Media Female Image Processing, Computer Assisted Male Signal Processing, Computer Assisted Human Aged: 65+ years Female Male ab: 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 subjects scanned at both 1.5 Tesla (T) and 3T. Average areas per slice of lipid-rich core, intraplaque hemorrhage, calcification, and fibrous tissue were recorded for each subject and field strength.Results: All measurements showed close agreement at the two field strengths, with correlation coefficients of 0.91, 0.93, 0.95, and 0.93, respectively. None of these measurements showed a statistically significant difference between field strengths in the average area per slice by a paired t-test, although calcification tended to be measured larger at 3T (P = 0.09).Conclusion: Automated classification results using an identical algorithm at 1.5T and 3T produced highly similar results, suggesting that with this acquisition protocol, 3T signal characteristics of the atherosclerotic plaque are sufficiently similar to 1.5T characteristics for MEPPS to provide equivalent performance. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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