Shandong University of Technology, Zibo, China

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Abstract—Computing redundancy, bad expansibility and “scalelike effect” lie in standard MC algorithm now. Furthermore, because of the complex structures in the segmented object, the triangular mesh model contains many isolated fragments. Fragments exaggerate the data size of the surface model and hinder the RP manufacturing speed. To solve the repeating calculation redundant problem, a suitable data structure was applied to seek cubes. By making segmentation result as the input of MC algorithm, the author eliminated the limitation of expansibility. By smoothing the normal vector of isosurfaces, this paper improved the image displaying effect. Finally, a special storage data structure was designed to save the nonmanifold triangle model obtained from MC algorithm and a new defragmentation algorithm was presented to delete the corresponding triangle meshes whose computed volume were less than given threshold. The modification mentioned above has been realized in 3D reconstructing software- MedLG which was developed by authors’ institute and applied successfully in customized prostheses designing already.

Index Terms—Medical target tissue, MC algorithm, isosurface.

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Cite: Xuemei Huang, Weihong Liu, Hongquan Wang, "The Improvements for Extraction of Medical Target Tissue Based on MC Algorithm," Journal of Computers vol. 7, no. 5, pp. 1220-1227, 2012.