DocumentCode
2705419
Title
Research on Virtual Endoscopy path planning
Author
Hongxia Wang ; Xiuzhen Wang
Author_Institution
Coll. Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin, China
fYear
2015
fDate
17-18 Jan. 2015
Firstpage
77
Lastpage
80
Abstract
Some key techniques and realizations of Virtual Endoscopy are systematically investigated in this thesis. It consists of the reading of CT data, the pre-processing of medical images, the techniques of segment tissues, 3D Reconstruction and the techniques of path planning. Great stress is laid on 3D Reconstruction and the techniques of path planning in this thesis. The primary work of studies is as follows: First of all, Study the loading of the chest CT data and the pre-process of filtering and interpolation. Secondly, the semi-automatic thresholding algorithm based on thresholding segmentation is proposed. The CT images are segmented using the methods. In addition, Marching Cubes algorithms is improved in the process of VE rendering algorithm to improve the efficiency of rendering. Finally, based on the technique of distance transform method, this thesis puts forward a distance transform method on the basis of maximum-cost spanning tree, which is able to create central path quickly and to solve some branch questions.
Keywords
biological tissues; computerised tomography; endoscopes; image filtering; image reconstruction; image segmentation; interpolation; path planning; rendering (computer graphics); transforms; trees (mathematics); 3D reconstruction; CT image segmentation; VE rendering algorithm; chest CT data; distance transform method; filtering preprocessing; interpolation; marching cubes algorithms; maximum-cost spanning tree; medical image preprocessing; semiautomatic thresholding algorithm; thresholding segmentation; tissue segmentation; virtual endoscopy path planning; Biomedical imaging; Computed tomography; Digital TV; Image segmentation; Rendering (computer graphics); Three-dimensional displays; 3D reconstruction; Virtual Endoscopy; Virtual Reality; path planning; tissue segment;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computing and Internet of Things (ICIT), 2014 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-7533-4
Type
conf
DOI
10.1109/ICAIOT.2015.7111542
Filename
7111542
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