Comparison of Four Freely Available Frameworks for Image Processing and Visualization That Use ITK
IEEE Transactions on Visualization and Computer Graphics
Automated tag tracking using Gabor filter bank, robust point matching, and deformable models
FIMH'07 Proceedings of the 4th international conference on Functional imaging and modeling of the heart
Phase-based non-rigid registration of myocardial perfusion MRI image sequences
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
A multiresolution method for tagline detection and indexing
IEEE Transactions on Information Technology in Biomedicine - Special section on affective and pervasive computing for healthcare
Quadrature filter based motion analysis for 3d ultrasound sequences
STACOM'12 Proceedings of the third international conference on Statistical Atlases and Computational Models of the Heart: imaging and modelling challenges
| Hi-index | 0.00 |
Analysis of tagged MRI is a valuable tool for assessing regional myocardial function. One major obstacle for existing methods based on feature extraction and registration is the desaturation of the tagging grid over time. We propose a method based on quadrature filters that is invariant to changes in intensity, robust with respect to the grid geometry and provides a dense motion field that allows for the analysis of both global and local movements. A multi-scale and multi-resolution scheme is used to cover different scales of motion and to speed up registration. The described method has been integrated into a prototypical application and applied to a phantom data set and 15 volunteer data sets provided by the STACOM'11. The automatic detection of the 4D motion field took about 130 minutes per MRI data set and about 90 minutes per US data set and resulted in plausible motion fields, which will be quantitatively assessed within the motion tracking challenge at MICCAI 2011.