Title :
An Algorithm of Nonlinear Interpolation Segmentation Based on Distance Mask Applied to Human Brain 3D Reconstruction
Author :
Shuying, Zhao ; Jinzhu, Yang ; Liying, Cheng ; Guojun, Su ; Xinhe, Xu
Author_Institution :
Inst. of AI & Robotics, Northeastern Univ., Shenyang
Abstract :
In medical sequence slices, ROI (region of interest) in image need to be extracted and to be 3D reconstructed. An algorithm of nonlinear image interpolation segmentation is proposed in this paper. The algorithm is based on the distance mask. It effectively processes the segmentation of human brain image in which the distribution of intensities overlap one another, and can quickly extract ROI. The experiment shows that perfect results can be obtained by using this algorithm. And this algorithm was successfully applied to the medical image 3D visualization system
Keywords :
brain; image reconstruction; image segmentation; image sequences; interpolation; medical computing; medical image processing; 3D reconstruction; distance mask; human brain reconstruction; image segmentation; medical image 3D visualization; medical sequence slices; nonlinear interpolation segmentation; Biological system modeling; Biomedical imaging; Brain; Data mining; Humans; Image reconstruction; Image segmentation; Interpolation; Medical diagnostic imaging; Visualization;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419545
