A Context-Sensitive Active Contour for 2D Corpus Callosum Segmentation

We propose a new context-sensitive active contour for 2D corpus callosum segmentation. After a seed contour consisting of interconnected parts is being initialized by the user, each part will start to deform according to its own motion law derived from high-level prior knowledge, and is constantly aware of its own orientation and destination during the deformation process. Experimental results demonstrate the accuracy and robustness of our algorithm.

[1]  S Arndt,et al.  An MRI study of the corpus callosum in autism. , 1997, The American journal of psychiatry.

[2]  Tim McInerney,et al.  Sketch initialized Snakes for rapid, accurate and repeatable interactive medical image segmentation , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..

[3]  Kalpathi R. Subramanian,et al.  Active contours using a constraint-based implicit representation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[4]  A Aldroubi,et al.  Multi-scale B-spline Snakes for General Contour Detection , 2001 .

[5]  Dimitris N. Metaxas,et al.  A hybrid framework for 3D medical image segmentation , 2005, Medical Image Anal..

[6]  Shin Yoshizawa,et al.  Polygonal Curve Evolutions for Planar Shape Modeling and Analysis , 1999, Int. J. Shape Model..

[7]  Ghassan Hamarneh,et al.  Deformable Organisms for Automatic Medical Image Analysis , 2001, MICCAI.

[8]  Demetri Terzopoulos,et al.  United Snakes , 1999, Medical Image Anal..

[9]  Ghassan Hamarneh,et al.  Physics-based deformable organisms for medical image analysis , 2005, SPIE Medical Imaging.

[10]  O Musse,et al.  Three-dimensional segmentation of anatomical structures in MR images on large data bases. , 2001, Magnetic resonance imaging.

[11]  Amar Gajjar,et al.  Decline in corpus callosum volume among pediatric patients with medulloblastoma: longitudinal MR imaging study. , 2002, AJNR. American journal of neuroradiology.

[12]  Moo K. Chung,et al.  Parametrization and Classifiication of Closed Anatomical Curves , 2005 .

[13]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[14]  Michael Unser,et al.  Automated segmentation of the corpus callosum in midsagittal brain magnetic resonance images , 2000 .

[15]  Hong Qin,et al.  Interactive shape modeling using Lagrangian surface flow , 2005, The Visual Computer.

[16]  Guido Gerig,et al.  User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.

[17]  Paul M. Thompson,et al.  Mapping Corpus Callosum Deficits in Autism: An Index of Aberrant Cortical Connectivity , 2006, Biological Psychiatry.

[18]  Demetri Terzopoulos,et al.  Deformable models in medical image analysis: a survey , 1996, Medical Image Anal..

[19]  Hans-Christian Hege,et al.  Intelligent Scissors for Medical Image Segmentation , 1996 .