Generation of Connectivity-Preserving Surface Models of Multiple Sclerosis Lesions

Progression of multiple sclerosis (MS) results in brain lesions caused by white matter inflammation. MS lesions have various shapes, sizes and locations, affecting cognitive abilities of patients to different extents. To facilitate the visualization of the brain lesion distribution, we have developed a software tool to build 3D surface models of MS lesions. This tool allows users to create 3D models of lesions quickly and to visualize the lesions and brain tissues using various visual attributes and configurations. The software package is based on breadth-first search based 3D connected component analysis and a 3D flood-fill based region growing algorithm to generate 3D models from binary or non-binary segmented medical image stacks.

[1]  H. Hege,et al.  A Generalized Marching Cubes Algorithm Based On Non-Binary Classifications , 1997 .

[2]  William J. Schroeder,et al.  The Visualization Toolkit , 2005, The Visualization Handbook.

[3]  Yongjian Xi,et al.  A novel region-growing based iso-surface extraction algorithm , 2008, Comput. Graph..

[4]  Cláudio T. Silva,et al.  High-Quality Extraction of Isosurfaces from Regular and Irregular Grids , 2006, IEEE Transactions on Visualization and Computer Graphics.

[5]  Dan Gordon,et al.  VS: A surface-based system for topological analysis, quantization and visualization of voxel data , 2009, Medical Image Anal..

[6]  Massimo Filippi,et al.  Magnetic Resonance Imaging Monitoring of Multiple Sclerosis Lesion Evolution , 2005, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[7]  Gregory M. Nielson,et al.  Dual marching cubes , 2004, IEEE Visualization 2004.

[8]  Oscar Meruvia Pastor,et al.  Building generic anatomical models using virtual model cutting and iterative registration , 2010, BMC Medical Imaging.

[9]  Sundaresan Raman,et al.  Quality Isosurface Mesh Generation Using an Extended Marching Cubes Lookup Table , 2008, Comput. Graph. Forum.

[10]  Scott Schaefer,et al.  Dual marching cubes: primal contouring of dual grids , 2004, 12th Pacific Conference on Computer Graphics and Applications, 2004. PG 2004. Proceedings..

[11]  Marcelo J. Vénere,et al.  Computerized Medical Imaging and Graphics a Combined Region Growing and Deformable Model Method for Extraction of Closed Surfaces in 3d Ct and Mri Scans , 2022 .

[12]  Gregory M. Nielson,et al.  On Marching Cubes , 2003, IEEE Trans. Vis. Comput. Graph..

[13]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[14]  Thomas Lewiner,et al.  Efficient Implementation of Marching Cubes' Cases with Topological Guarantees , 2003, J. Graphics, GPU, & Game Tools.

[15]  Frauke Zipp,et al.  A new window in multiple sclerosis pathology: non-conventional quantitative magnetic resonance imaging outcomes , 2009, Journal of the Neurological Sciences.

[16]  Alexander Bornik,et al.  Consistent Mesh Generation for Non-binary Medical Datasets , 2005, Bildverarbeitung für die Medizin.

[17]  William E. Lorensen,et al.  The NA-MIC Kit: ITK, VTK, pipelines, grids and 3D slicer as an open platform for the medical image computing community , 2006, 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro, 2006..