Title :
Cardiac motion analysis using wavelet projections from tagged MR sequences
Author :
Farouj, Y. ; Wang, Lingfeng ; Clarysse, P. ; Navarro, L. ; Clausel, M. ; Delachartre, P.
Author_Institution :
CREATIS, Univ. of Lyon, Villeurbanne, France
Abstract :
We present an optical flow technique in a differential projected framework adapted to local myocardial motion estimation from MR Tagged images. The algorithm is based on the Dual Tree design of Hilbert transform pairs of wavelet bases. Such a design allows one to construct several orientation-sensitive wavelet filters for better analysis of the complex motion of the heart. The complex wavelet transform (CWT) integrates both energy and phase information in the wavelets coefficients for an effective motion estimation. The CWT also provides a high frequency analysis and enjoys a multiresolution aspect that allows multiscale flow estimate. Performances of the algorithm are evaluated on synthetic tagged MRI sequences for both displacement and strain estimation.
Keywords :
Hilbert transforms; biomedical MRI; cardiology; image resolution; image sequences; medical image processing; motion estimation; wavelet transforms; Hilbert transform pairs; MR tagged images; cardiac motion analysis; complex motion; complex wavelet transform; differential projected framework; displacement estimation; dual tree design; effective motion estimation; energy information; heart; high-frequency analysis; local myocardial motion estimation; multiresolution aspect; multiscale flow estimate; optical flow technique; orientation-sensitive wavelet filters; phase information; strain estimation; synthetic tagged MRI sequences; wavelet bases; wavelet coefficients; wavelet projections; Continuous wavelet transforms; Estimation; Heart; Optical imaging; Wavelet analysis; Cardiac motion; Complex wavelets; Optical flow; Tagged MRI;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025037
