doi: 10.7763/IJCTE.2010.V2.136
Automatic Volumetric Liver Segmentation from MRI Data
Haidi Ibrahim1
,
Maria Petrou2 ,
Kevin Wells3 ,
Simon Doran4 ,
øystein Olsen5
- 1School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia.
- 2Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, SW7 2AZ, United Kingdom.
- 3Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, GU2 7XH, United Kingdom.
- 4Department of Physics, School of Electronics and Physical Sciences, University of Surrey, Guildford, GU2 7XH, United Kingdom.
- 5Radiologist Department, Great Ormond Street Hospital for Children NHS Trust, London, WC1N 3JN, United Kingdom.
Abstract
In this paper, we automate a segmentation technique known as intelligent scissors to segment the liver from volumetric MRI data. With this method, the user only needs to select an initial slice, and the method is executed automatically. From the initial slice, the contour propagates inside the volume and segments the liver in every slice using a dynamic programming algorithm.
Keywords
- Automatic segmentation
- intelligent scissors
- liver segmentation
- MRI liver dataset
How to Cite
Haidi Ibrahim, Maria Petrou, Kevin Wells, Simon Doran, and øystein Olsen, "Automatic Volumetric Liver Segmentation from MRI Data," International Journal of Computer Theory and Engineering, vol. 2, no. 2, pp. 176-179, 2010. https://doi.org/10.7763/IJCTE.2010.V2.136
Copyright & License
Copyright © 2010 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).