Flinders University Flinders Academic Commons
 

Flinders Academic Commons >
Flinders Digital Archive >
Science and Engineering >
Computer Science, Engineering and Mathematics  >
Computer Science, Engineering and Mathematics - Collected Works >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/26399

Title: Full-body CT segmentation using 3D extension of two graph-based methods: a feasibility study
Authors: Bajger, Mariusz
Lee, Gobert N
Caon, Martin
Keywords: Medical imaging
Computer-aided diagnosis
CT imaging
Issue Date: 2012
Publisher: International Association of Science and Technology for Development
Citation: Bajger, M., Lee, G.N., & Caon, M., 2012. Full-body CT segmentation using 3D extension of two graph-based methods: a feasibility study. Proceedings of the IASTED International Conference on Signal Processing, Pattern Recognition and Applications, 43-50.
Abstract: The paper studies the feasibility of using 3D extensions of two state-of-the-art segmentation techniques, the Statistical Region Merging (SRM) method and the Efficient Graph-based Segmentation (EGS) technique, for automatic anatomy segmentation on clinical 3D CT images. The proposed methods are tested on a dataset of 55 images. The test is for segmentation of eight representative tissues (lungs, stomach, liver, heart, kidneys, spleen, bones and the spinal cord) which are vital for accurate calculation of radiation doses. The results are evaluated using the Dice index, the Hausdorff distance and the Ht index, a measure of border error with tolerance t pixels addressing the uncertainty in the ground truth. The outcome shows that the 3D-SRM method outperforms 3D-EGS and has a great potential to become the method of choice for segmentation of full-body CT images. Using 3D-SRM, the average Dice index, the Hausdorff distance across the 8 tissues, and the H2 were 0.89, 12.5 mm and 0.93, respectively.
URI: http://hdl.handle.net/2328/26399
Appears in Collections:Computer Science, Engineering and Mathematics - Collected Works

Files in This Item:

File Description SizeFormat
Lee Full-body1.pdf456.45 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback