Pulse lineResearch With Heart Logo

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

TitleAn integrated automated analysis method for quantifying vessel stenosis and plaque burden from carotid MRI images: combined postprocessing of MRA and vessel wall MR.
Publication TypeJournal Article
Year of Publication2006
AuthorsAdame IM, de Koning PJH, Lelieveldt BPF, Wasserman BA, Reiber JHC, van der Geest RJ
JournalStroke
Volume37
Issue8
Pagination2162-4
Date Published2006 Aug
ISSN1524-4628
KeywordsAged, Carotid Stenosis, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Angiography, Magnetic Resonance Imaging, Middle Aged, Reproducibility of Results, Severity of Illness Index
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.

DOI10.1161/01.STR.0000231648.74198.f7
Alternate JournalStroke
PubMed ID16809565