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Vulnerable Atherosclerotic Plaque Elasticity Reconstruction Based on a Segmentation-Driven Optimization Procedure Using Strain Measurements: Theoretical Framework.

Authors :
Le Floc'h, Simon
Ohayon, Jacques
Tracqui, Philippe
Finet, Gérard
Gharib, Ahmed M.
Maurice, Roch L.
Cloutier, Guy
Pettigrew, Roderic I.
Source :
IEEE Transactions on Medical Imaging. Jul2009, Vol. 28 Issue 7, p1126-1137. 12p. 4 Diagrams, 1 Graph.
Publication Year :
2009

Abstract

It is now recognized that prediction of the vulnerable coronary plaque rupture requires not only an accurate quantification of fibrous cap thickness and necrotic core morphology but also a precise knowledge of the mechanical properties of plaque components. Indeed, such knowledge would allow a precise evaluation of the peak cap-stress amplitude, which is known to be a good biomechanical predictor of plaque rupture. Several studies have been performed to reconstructa Young's modulus map from strain elastograms. It seems that the main issue for improving such methods does not rely on the optimization algorithm itself, but rather on preconditioning requiring the best estimation of the plaque components' contours. The present theoretical study was therefore designed to develop: 1) a preconditioning model to extract the plaque morphology in order to initiate the optimization process, and 2) an approach combining a dynamic segmentation method with an optimization procedure to highlight the modulogram of the atherosclerotic plaque. This methodology, based on the continuum mechanics theory prescribing the strain field, was successfully applied to seven intravascular ultrasound coronary lesion morphologies. The reconstructed cap thickness, necrotic core area, calcium area, and the Young's moduli of the calcium, necrotic core, and fibrosis were obtained with mean relative errors of 12%, 4% and 1%, 43%, 32%, and 2%, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02780062
Volume :
28
Issue :
7
Database :
Academic Search Index
Journal :
IEEE Transactions on Medical Imaging
Publication Type :
Academic Journal
Accession number :
43230201
Full Text :
https://doi.org/10.1109/TMI.2009.2012852