Kastanis, I and Arridge, SR and Silver, AMS and Hill, DL and 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
Full text not available from this repository.
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.
|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|
|Dates:||2004-04-15 - 2004-04-18|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Computer Science|
Archive Staff Only: edit this record