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Reconstruction of the heart boundary from undersampled cardiac MRI using Fourier shape descriptors and local basis functions

Kastanis, I; Arridge, SR; Silver, AMS; Hill, DL; Ravazi, R; (2004) Reconstruction of the heart boundary from undersampled cardiac MRI using Fourier shape descriptors and local basis functions. In: 2004 2ND IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: MACRO TO NANO, VOLS 1 and 2. (pp. 1063 - 1066). IEEE

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Abstract

A new method for shape reconstruction in cardiac MRI is presented in this work. Using a combined shape representation and local basis functions this method models the shape of the left ventricle. To solve this problem of shape reconstruction a non - linear approach is required. Fitting the model to the data is done by an iterative non-linear method, which reconstructs both the intensity and the contour. Results are shown for an undersampled set of ten k-space profiles.

Type: Proceedings paper
Title: Reconstruction of the heart boundary from undersampled cardiac MRI using Fourier shape descriptors and local basis functions
Event: 2nd IEEE International Symposium on Biomedical Imaging
Location: Arlington, VA
Dates: 2004-04-15 - 2004-04-18
ISBN: 0-7803-8388-5
UCL classification: UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
URI: http://discovery.ucl.ac.uk/id/eprint/20829
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