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Proceedings Paper

Myocardial wall thickening from gated magnetic resonance images using Laplace's equation
Author(s): M. Prasad; A. Ramesh; P. Kavanagh; J. Gerlach; G. Germano; D. S. Berman; P. J. Slomka
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Paper Abstract

The aim of our work is to present a robust 3D automated method for measuring regional myocardial thickening using cardiac magnetic resonance imaging (MRI) based on Laplace's equation. Multiple slices of the myocardium in short-axis orientation at end-diastolic and end-systolic phases were considered for this analysis. Automatically assigned 3D epicardial and endocardial boundaries were fitted to short-axis and long axis slices corrected for breathold related misregistration, and final boundaries were edited by a cardiologist if required. Myocardial thickness was quantified at the two cardiac phases by computing the distances between the myocardial boundaries over the entire volume using Laplace's equation. The distance between the surfaces was found by computing normalized gradients that form a vector field. The vector fields represent tangent vectors along field lines connecting both boundaries. 3D thickening measurements were transformed into polar map representation and 17-segment model (American Heart Association) regional thickening values were derived. The thickening results were then compared with standard 17-segment 6-point visual scoring of wall motion/wall thickening (0=normal; 5=greatest abnormality) performed by a consensus of two experienced imaging cardiologists. Preliminary results on eight subjects indicated a strong negative correlation (r=-0.8, p<0.0001) between the average thickening obtained using Laplace and the summed segmental visual scores. Additionally, quantitative ejection fraction measurements also correlated well with average thickening scores (r=0.72, p<0.0001). For segmental analysis, we obtained an overall correlation of -0.55 (p<0.0001) with higher agreement along the mid and apical regions (r=-0.6). In conclusion 3D Laplace transform can be used to quantify myocardial thickening in 3D.

Paper Details

Date Published: 3 March 2009
PDF: 8 pages
Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72602I (3 March 2009); doi: 10.1117/12.811411
Show Author Affiliations
M. Prasad, Cedars-Sinai Medical Ctr. (United States)
A. Ramesh, Cedars-Sinai Medical Ctr. (United States)
P. Kavanagh, Cedars-Sinai Medical Ctr. (United States)
J. Gerlach, Cedars-Sinai Medical Ctr. (United States)
G. Germano, Cedars-Sinai Medical Ctr. (United States)
D. S. Berman, Cedars-Sinai Medical Ctr. (United States)
P. J. Slomka, Cedars-Sinai Medical Ctr. (United States)


Published in SPIE Proceedings Vol. 7260:
Medical Imaging 2009: Computer-Aided Diagnosis
Nico Karssemeijer; Maryellen L. Giger, Editor(s)

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