3D Visualization and Segmentation of Brain MRI Data

Automatic segmentation of brain MRI data usually leaves some segmentation errors behind that are to be subsequently removed interactively using computer graphics tools. This interactive removal is normally performed by operating on individual 2D slices. It is very tedious and still leaves some segmentation errors which are not visible on the slices. We have proposed to perform a novel 3D interactive correction of brain segmentation errors introduced by the fully automatic segmentation algorithms. We have developed the tool which is based on a 3D semi-automatic propagation algorithm. The paper describes the implementation principles of the proposed tool and illustrates its application.

[1]  Heinz-Otto Peitgen,et al.  IWT-interactive watershed transform: a hierarchical method for efficient interactive and automated segmentation of multidimensional gray-scale images , 2003, SPIE Medical Imaging.

[2]  William A. Barrett,et al.  Interactive segmentation of image volumes with Live Surface , 2007, Comput. Graph..

[3]  Frans Vos,et al.  Interactive 3D segmentation using connected orthogonal contours , 2004, Comput. Biol. Medicine.

[4]  Marie-Pierre Jolly,et al.  Interactive Graph Cuts for Optimal Boundary and Region Segmentation of Objects in N-D Images , 2001, ICCV.

[5]  Torsten Rohlfing,et al.  Multi-classifier framework for atlas-based image segmentation , 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

[6]  Jayaram K. Udupa,et al.  A 3D generalization of user-steered live-wire segmentation , 2000, Medical Image Anal..

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

[8]  Gilson A. Giraldi,et al.  Dual-T-Snakes model for medical imaging segmentation , 2003, Pattern Recognit. Lett..

[9]  Marie-Pierre Jolly,et al.  Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[10]  Pierre-Louis Bazin,et al.  Free software tools for atlas-based volumetric neuroimage analysis , 2005, SPIE Medical Imaging.

[11]  M. Ibrahim,et al.  Hidden Markov models-based 3D MRI brain segmentation , 2006, Image Vis. Comput..

[12]  Yan Kang,et al.  Interactive 3D editing tools for image segmentation , 2004, Medical Image Anal..