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

fYear

2005

fDate

16-19 March 2005

Firstpage

37

Lastpage

40

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on

Conference_Location

Arlington, VA

Print_ISBN

0-7803-8710-4

Type

conf

DOI

10.1109/CNE.2005.1419545

Filename

1419545