MR Imaging and Biomechanics of Vulnerable Plaque

The atherosclerotic process starts early in life and advances throughout adulthood when atherosclerotic disease causes chronic angina, acute coronary and peripheral vascular syndromes, stroke, and sudden death. Until recently, the occlusive character of plaque was considered paramount. However, growing evidence suggests that cardiovascular events are triggered by plaque rupture and that the decisive risk factor is plaque composition rather than morphology.

This multidisciplinary proposal develops a non-invasive strategy for quantitative assessment of plaque vulnerability based on multi-contrast three-dimensional MR imaging, automated segmentation and plaque type characterization of volumetric data, and finite element biomechanical modeling.

Hypotheses and Aims:

Overall Hypotheis: Mechanical behavior of atherosclerotic lesions that is directly related to plaque vulnerability can be determined non-invasively from three-dimensional morphology and composition of plaque as depicted by MR imaging.

Aim 1: Develop three-dimensional MR imaging strategies and protocols to non-invasively identify plaque morphology and composition.

Aim2: Develop and validate a highly automated method for plaque segmentation and characterization from three-dimensional MR image data.

Aim 3: Develop a method for assessment of plaque vulnerability by determination of mechanical properties and behavior of plaque.

To maximize the relevance of our research and development, 40 fresh animal and 30 fresh human arteries with known atherosclerotic lesions will be studied. The relationship between the plaque composition of atherosclerotic lesions and the local biomechanical behavior may further our understanding of the development of atherosclerosis and the characteristics and mechanisms of vulnerable plaques that lead to atherosclerosis disease progression and acute cardiovascular events. For the first time, it will be possible to study the mechanics and behavior of "real plaques" and their morphological and material determinants on a quantitative basis.



University of Iowa

College of Engineering


Last Modified: January 17, 2001

Mark E. Olszewski

©2001 CEIG