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Image analysis and quantification of atherosclerosis using MRI.

M B Merickel¹, C S Carman, J R Brookeman

¹Biomedical Engineering, University of Virginia, Charlottesville 22908.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|July 1, 1991

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This study presents a novel system for identifying atherosclerosis using Magnetic Resonance Imaging (MRI) and advanced pattern recognition. The developed technology aids in diagnosing and analyzing this cardiovascular disease.

Area of Science:

Medical Imaging
Computer Science
Cardiovascular Disease Research

Background:

Atherosclerosis diagnosis relies on accurate identification of plaque composition.
Noninvasive imaging techniques are crucial for evaluating disease progression and treatment efficacy.

Purpose of the Study:

To develop an image processing and pattern recognition system for noninvasive atherosclerosis identification using multidimensional MRI.
To create a "high information content" display for improved diagnosis and analysis of atherosclerotic disease.

Main Methods:

Utilized multidimensional Magnetic Resonance Imaging (MRI) for data acquisition.
Developed a pattern recognition system extending the ISODATA clustering algorithm with the Consistent Akaike Information Criterion (AIC).

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Implemented a rapid 3-D display system for simultaneous visualization of multiple data classes.

Main Results:

Successfully demonstrated a pattern recognition technique for identifying different atherosclerotic plaque classes with minimal prior information.
Developed a "high information content" display system for enhanced visualization of MRI data.
Showcased the feasibility of quantitative analysis for assessing therapeutic interventions.

Conclusions:

The developed system enables noninvasive identification and evaluation of atherosclerosis using MRI.
The pattern recognition and display system can significantly aid in the diagnosis and analysis of atherosclerotic disease.
This approach facilitates detailed quantitative studies to assess the effectiveness of various treatment regimens.