Shape and Appearance based Spatiotemporal Constraint for LV Segmentation in 4D cardiac SPECT

We propose a novel shape and appearance based spatiotem- poral constraint and combine it with a level set based deformable model, which can be used for Left Ventricle segmentation in 4D gated cardiac SPECT, particularly in the presence of perfusion defects. The model incorporates appearance in addition to shape information into a soft-to- hard probabilistic constraint, and utilizes spatiotemporal regularization via a Maximum A Posteriori framework. This constraint force allows more flexibility than the rigid forces of shape constraint-only schemes, as well as other state-of-the-art joint shape and appearance constraints. We present comparative results to illustrate the improvement gain.

[1]  Johan Montagnat,et al.  A Levelset Based Method for Segmenting the Heart in 3D+T Gated SPECT Images , 2003, FIMH.

[2]  Olivier D. Faugeras,et al.  Statistical shape influence in geodesic active contours , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[3]  Nikos Paragios,et al.  Shape registration in implicit spaces using information theory and free form deformations , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Dror Aiger,et al.  Geodesic Active Contours with Combined Shape and Appearance Priors , 2008, ACIVS.

[5]  Daniel Cremers,et al.  4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences , 2006, MICCAI.

[6]  H Bolooki,et al.  Muscle fiber length: a determinant of left ventricular contraction pattern. , 1966, The American journal of physiology.

[7]  Timo Kohlberger,et al.  Soft Level Set Coupling for LV Segmentation in Gated Perfusion SPECT , 2007, MICCAI.

[8]  Daniel Cremers,et al.  Efficient Kernel Density Estimation of Shape and Intensity Priors for Level Set Segmentation , 2005, MICCAI.

[9]  Michel Barlaud,et al.  Space-time segmentation using level set active contours applied to myocardial gated SPECT , 2001, IEEE Transactions on Medical Imaging.

[10]  Timothy F. Cootes,et al.  Active Appearance Models , 1998, ECCV.

[11]  Hamed Sari-Sarraf,et al.  Probabilistic shape and appearance model for scene segmentation , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[12]  Dimitris N. Metaxas,et al.  Learning Coupled Prior Shape and Appearance Models for Segmentation , 2004, MICCAI.

[13]  James S. Duncan,et al.  3D Image Segmentation of Deformable Objects with Shape-Appearance Joint Prior Models , 2003, MICCAI.

[14]  W. Clem Karl,et al.  Shape and appearance modeling with feature distributions for image segmentation , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[15]  Johan Montagnat,et al.  4D deformable models with temporal constraints: application to 4D cardiac image segmentation , 2005, Medical Image Anal..

[16]  Nikos Paragios,et al.  Shape Priors for Level Set Representations , 2002, ECCV.

[17]  Xianghua Xie,et al.  A Charged Active Contour Based on Electrostatics , 2006, ACIVS.