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Complex wavelets for registration of tagged mri sequences (2006)
| Content Provider | CiteSeerX |
|---|---|
| Author | Frangi, Ro F. Hero, Alfred O. Fabra, Pompeu Oubel, Estanislao |
| Description | in IEEE International Symposium on Biomedical Imaging: From Nano to Macro |
| Abstract | Tagged Magnetic Resonance Imaging (MRI) is currently the reference MR modality for myocardial motion and strain analysis. Mutual Information (MI) based non rigid registration has proven to be an accurate method to retrieve cardiac deformation fields. However, this technique ignores high frequency information in tags. In a previous work this information was included by using feature vectors formed with wavelet coefficients and kNN graphs to estimate αMI. It was shown that cardiac motion estimation was feasible with these features. In this work, features were derived from Complex Wavelet Transform (CWT), which is shift invariant and provides more high frequency subimages than conventional wavelets. Results show that lower errors are obtained with respect to the use of pixel intensity. 1. |
| File Format | |
| Publisher Date | 2006-01-01 |
| Access Restriction | Open |
| Subject Keyword | Conventional Wavelet Accurate Method Myocardial Motion Feature Vector High Frequency Information Complex Wavelet Mutual Information Non Rigid Registration Cardiac Motion Estimation Pixel Intensity Reference Mr Modality Magnetic Resonance Imaging Wavelet Coefficient Complex Wavelet Transform Cardiac Deformation Field Strain Analysis High Frequency Subimages Tagged Mri Sequence |
| Content Type | Text |
| Resource Type | Conference Proceedings |
