An integrated automated analysis method for quantifying vessel stenosis and plaque burden from carotid MRI images: Combined postprocessing of MRA and vessel wall MR

Isabel M. Adame, Patrick J H De Koning, Boudewijn P F Lelieveldt, Bruce A Wasserman, Johan H C Reiber, Rob J. Van Der Geest

Research output: Contribution to journalArticle

Abstract

BACKGROUND AND PURPOSE - We report the evaluation of a semiautomated method for in vivo assessment of the severity of carotid atherosclerosis with minimal user interaction that combines 3-dimensional contrast-enhanced magnetic resonance angiography (CE-MRA) and vessel wall magnetic resonance imaging (MRI). METHODS - Lumen and outer-wall contours were automatically detected, and stenosis and plaque burden were estimated. The method was tested on 22 subjects (352 postcontrast, T1-weighted cross sections and 3-dimensional CE-MRA). RESULTS - We observed good correlation with expert contours: lumen and outer-wall area (r=0.96) and the degree of stenosis (r=0.97). CONCLUSIONS - The fusion of MRA and MRI reduces user interaction and improves contour detection, providing reproducible parameters to assess the severity of atherosclerosis.

Original languageEnglish (US)
Pages (from-to)2162-2164
Number of pages3
JournalStroke
Volume37
Issue number8
DOIs
StatePublished - Aug 2006

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Magnetic Resonance Angiography
Pathologic Constriction
Magnetic Resonance Imaging
Carotid Artery Diseases
Atherosclerosis

Keywords

  • Atherosclerosis
  • Carotid artery
  • Magnetic resonance angiography
  • Magnetic resonance imaging

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Neuroscience(all)

Cite this

An integrated automated analysis method for quantifying vessel stenosis and plaque burden from carotid MRI images : Combined postprocessing of MRA and vessel wall MR. / Adame, Isabel M.; De Koning, Patrick J H; Lelieveldt, Boudewijn P F; Wasserman, Bruce A; Reiber, Johan H C; Van Der Geest, Rob J.

In: Stroke, Vol. 37, No. 8, 08.2006, p. 2162-2164.

Research output: Contribution to journalArticle

Adame, Isabel M. ; De Koning, Patrick J H ; Lelieveldt, Boudewijn P F ; Wasserman, Bruce A ; Reiber, Johan H C ; Van Der Geest, Rob J. / An integrated automated analysis method for quantifying vessel stenosis and plaque burden from carotid MRI images : Combined postprocessing of MRA and vessel wall MR. In: Stroke. 2006 ; Vol. 37, No. 8. pp. 2162-2164.
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AU - Adame, Isabel M.

AU - De Koning, Patrick J H

AU - Lelieveldt, Boudewijn P F

AU - Wasserman, Bruce A

AU - Reiber, Johan H C

AU - Van Der Geest, Rob J.

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AB - BACKGROUND AND PURPOSE - We report the evaluation of a semiautomated method for in vivo assessment of the severity of carotid atherosclerosis with minimal user interaction that combines 3-dimensional contrast-enhanced magnetic resonance angiography (CE-MRA) and vessel wall magnetic resonance imaging (MRI). METHODS - Lumen and outer-wall contours were automatically detected, and stenosis and plaque burden were estimated. The method was tested on 22 subjects (352 postcontrast, T1-weighted cross sections and 3-dimensional CE-MRA). RESULTS - We observed good correlation with expert contours: lumen and outer-wall area (r=0.96) and the degree of stenosis (r=0.97). CONCLUSIONS - The fusion of MRA and MRI reduces user interaction and improves contour detection, providing reproducible parameters to assess the severity of atherosclerosis.

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