DocumentCode :
534620
Title :
A new strategy for boundary surface detection in 3D biomedical images
Author :
Cheng, Liuhang ; Wang, Lisheng ; Ma, Yu
Author_Institution :
Dept. of Autom., Shanghai Jiaotong Univ., Shanghai, China
Volume :
1
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
51
Lastpage :
55
Abstract :
Detecting boundary surface for the object of interest within 3D biomedical images is an important step towards understanding and quantitative analysis of the object. However, existing 3D edge detection techniques have the limitations in detecting connected edge voxels and tracing undetected edge voxels from 3D images. In this paper, we propose a new strategy to detect boundary surface for the object of interest in 3D biomedical image. The new strategy utilizes the connectivity of boundary surface in the detection and tracing of edge voxels, and is much effective in overcoming the two limitations existing in 3D edge detectors. The performance and advantages of the proposed method are illustrated by many examples from different 3D biomedical images.
Keywords :
Gaussian processes; edge detection; image denoising; medical image processing; smoothing methods; 3D biomedical images; 3D edge detection; Gaussian smoothing function; boundary surface detection; image denoising; Biomedical imaging; Detectors; Image edge detection; Surface cracks; Surface reconstruction; Surface treatment; Three dimensional displays; 3D edge detector; continuous implicit surface; discrete boundary surface; edge cubse; edge voxel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6495-1
Type :
conf
DOI :
10.1109/BMEI.2010.5639645
Filename :
5639645
Link To Document :
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