Complex wavelets for registration of tagged MRI sequences

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 in...

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Bibliographic Details
Main Authors: Oubel, E., Frangi, A.F., Hero, A.O.
Format: Conference Proceeding
Language:English
Subjects:
Frequency
Image analysis
Information retrieval
Magnetic analysis
Magnetic field induced strain
Magnetic resonance imaging
Motion analysis
Mutual information
Myocardium
Wavelet coefficients
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Summary: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 alphaMI. 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
ISSN:1945-7928
1945-8452
DOI:10.1109/ISBI.2006.1624993