Non-rigid motion analysis and feature labelling of the growth cone

Quantitative analysis of neurite outgrowth provides key information for the development of new therapeutic strategies for treating nerve injury. The motion of the growth cone, the growing tip of a neurite, can be characterized as non-rigid, since its contour is constantly deforming. The goal of this research is to track the motion of the growth cone, using active contours and feature labelling, to provide quantitative analysis of specific neurite modalities, and ultimately to predict the motion of the growth cone.<<ETX>>

[1]  P Aebischer,et al.  Peripheral nerve regeneration through blind-ended semipermeable guidance channels: effect of the molecular weight cutoff , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[2]  Dmitry B. Goldgof,et al.  Point correspondence recovery in non-rigid motion , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  C. Tomasi,et al.  Factoring image sequences into shape and motion , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[4]  Marie-Odile Berger,et al.  Towards autonomy in active contour models , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.

[5]  Mubarak Shah,et al.  Motion trajectories , 1993, IEEE Trans. Syst. Man Cybern..

[6]  J. K. Aggarwal,et al.  INTENSITY GUIDED RANGE SENSING RECOGNITION OF THREE-DIMENSIONAL OBJECTS. , 1983 .

[7]  Dmitry B. Goldgof,et al.  Motion analysis of nonrigid surfaces , 1988, Proceedings CVPR '88: The Computer Society Conference on Computer Vision and Pattern Recognition.

[8]  Frederic Fol Leymarie,et al.  Tracking Deformable Objects in the Plane Using an Active Contour Model , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[9]  G Lundborg,et al.  Nerve regeneration and repair. A review. , 1987, Acta orthopaedica Scandinavica.

[10]  A. Bandyopadhyay,et al.  Perception of Structure from Motion: Lower Bound Results , 1985 .

[11]  Terry E. Weymouth,et al.  Using Dynamic Programming For Minimizing The Energy Of Active Contours In The Presence Of Hard Constraints , 1988, [1988 Proceedings] Second International Conference on Computer Vision.

[12]  Jake K. Aggarwal,et al.  Experiments in Intensity Guided Range Sensing Recognition of Three-Dimensional Objects , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[13]  Mubarak Shah,et al.  A fast algorithm for active contours , 1990, [1990] Proceedings Third International Conference on Computer Vision.

[14]  P Aebischer,et al.  Basic fibroblast growth factor released from synthetic guidance channels facilitates peripheral nerve regeneration across long nerve gaps , 1989, Journal of neuroscience research.

[15]  Jack Sklansky,et al.  Estimating optical flow from clustered trajectories in velocity-time , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[16]  A. Pentland,et al.  Non-rigid motion and structure from contour , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[17]  Dmitry B. Goldgof,et al.  Adaptive-Size Meshes for Rigid and Nonrigid Shape Analysis and Synthesis , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[18]  Steven D. Blostein,et al.  MOTION ESTIMATION FROM 3-D POINT SETS WITH AND WITHOUT CORRESPONDENCES. , 1986 .

[19]  Steven D. Blostein,et al.  ROBUST ALGORITHMS FOR MOTION ESTIMATION BASED ON TWO SEQUENTIAL STEREO IMAGE PAIRS. , 1985 .

[20]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[21]  M. Selzer,et al.  Nerve Regeneration , 1943, Seminars in neurology.

[22]  T. Boult,et al.  Factorization-based segmentation of motions , 1991, Proceedings of the IEEE Workshop on Visual Motion.

[23]  Kazuhiko Yamamoto,et al.  Motion tracking of deformable objects based on energy minimization using multiscale dynamic programming , 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

[24]  D. B. Goldgof,et al.  Motion analysis and modeling of epicardial surfaces from point and line correspondences , 1991, Proceedings of the IEEE Workshop on Visual Motion.