ABSTRACT
IDEA Incompressible deformation estimation algorithm
kNN k-Nearest neighbor LAX Long-axis LDA Linear discrimination analysis LKOF Lucas-Kanade optical ow LSE Least-square error LV Left ventricle MAP Maximum a posteriori MCMC Markov Chain Monte Carlo ML Maximum likelihood MSOF Multiscale optical ow OF Optical ow PCA Principal component analysis pdf Probability density function PF Particle ltering RCVOF Registration and change visualization opti-
cal ow RF Radiofrequency RJ-MCMC Reversible-jump MCMC ROI Region-of-interest RV Right ventricle SAX Short-axis SD Standard deviation SinMod Sine-wave modeling SPAMM Spatial modulation of magnetization SSD Sum-of-squared difference STDP Spatiotemporal deformation parameters ST-LDA Spatiotemporal tensor-based linear discrim-
ination analysis
3.8.4 Combining Untagged and Tagged Images ........................................................................................................... 160 3.8.5 Active Contour-Based Analysis ........................................................................................................................... 162
3.9 Heart Segmentation from Tagged Images ....................................................................................................................... 162 3.9.1 Morphological Operations ................................................................................................................................... 163
3.9.1.1 Basic Idea .............................................................................................................................................. 163 3.9.1.2 Image Enhancement .............................................................................................................................. 163
3.9.2 Thin-Plate Models ............................................................................................................................................... 163 3.9.3 Metamorphological Segmentation ....................................................................................................................... 165 3.9.4 Texture Analysis and Active Contours ................................................................................................................ 166 3.9.5 Deformable Template Models .............................................................................................................................. 167 3.9.6 Adaboost Analysis ............................................................................................................................................... 167
3.9.6.1 Adaboost Segmentation ........................................................................................................................ 167 3.9.6.2 Adaboost Classier and Particle Filtering ............................................................................................ 167
3.9.7 Level Sets ............................................................................................................................................................. 169 3.10 Detagging Techniques ..................................................................................................................................................... 169
3.10.1 Morphological Operations ................................................................................................................................... 169 3.10.2 Harmonic Peaks Suppression ...............................................................................................................................170 3.10.3 Separation of Tagged and Untagged Data Components ...................................................................................... 172 3.10.4 Pyramid Decomposition .......................................................................................................................................173 3.10.5 Gabor Filter-Based Detagging .............................................................................................................................174
3.11 Summary and Key Points .................................................................................................................................................175 3.11.1 Summary ..............................................................................................................................................................175 3.11.2 Key Points .............................................................................................................................................................176
Acknowledgment ...................................................................................................................................................................... 177 References ................................................................................................................................................................................. 177
