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June 30, 2006Stroke33 citationsOpen Access

An Integrated Automated Analysis Method for Quantifying Vessel Stenosis and Plaque Burden From Carotid MRI Images

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IAIsabel M. AdamePKPatrick J. H. de KoningBLBoudewijn P. F. Lelieveldt

Key Result

A semiautomated method combining 3D CE-MRA and vessel wall MRI showed good correlation with expert contours for lumen and outer-wall area (r=0.96) and degree of stenosis (r=0.97).

Key Points

  • The study aims to evaluate a semiautomated method for assessing carotid atherosclerosis severity with minimal user interaction.
  • Utilized 3-dimensional contrast-enhanced magnetic resonance angiography and vessel wall MRI.
  • Tested on 22 subjects with a total of 352 postcontrast T1-weighted cross-sections.
  • Automatically detected lumen and outer-wall contours to estimate stenosis and plaque burden.
  • Good correlation with expert contours for lumen and outer-wall area (r = 0.96).
  • High correlation for degree of stenosis (r = 0.97).
  • Method reduces user interaction while improving contour detection and parameter reproducibility.

Study Design

Type

Observational (n=22)

Structured PICO

Does a semiautomated method combining CE-MRA and vessel wall MRI accurately quantify vessel stenosis and plaque burden compared to expert contours in carotid atherosclerosis?

P
Population
22 subjects (352 postcontrast, T1-weighted cross sections and 3-dimensional CE-MRA)
I
Intervention
Semiautomated method combining 3-dimensional contrast-enhanced magnetic resonance angiography (CE-MRA) and vessel wall magnetic resonance imaging (MRI)
C
Comparator
Expert contours
O
Outcome
Correlation of lumen and outer-wall area and degree of stenosis with expert contourssurrogate

A semiautomated method fusing MRA and MRI provides reproducible parameters for assessing carotid atherosclerosis severity with minimal user interaction.

Main Result

Effect estimate: r=0.96 (area), r=0.97 (stenosis)

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.

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Cite This Study

Adame et al. (2006) conducted an observational in Carotid atherosclerosis (n=22). Semiautomated method combining 3D CE-MRA and vessel wall MRI vs. Expert contours was evaluated on Correlation of lumen and outer-wall area and degree of stenosis with expert contours (r=0.96 (area), r=0.97 (stenosis)). A semiautomated method combining 3D CE-MRA and vessel wall MRI showed good correlation with expert contours for lumen and outer-wall area (r=0.96) and degree of stenosis (r=0.97).

synapsesocial.com/papers/6a0ba9204f6759c6fca254d1https://doi.org/10.1161/01.str.0000231648.74198.f7
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