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.
Index Terms—Automatic segmentation, intelligent scissors, liver segmentation, MRI liver dataset.
Haidi Ibrahim is with the School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Penang, Malaysia (phone: 006-04-5996001; fax: 006-04- 045941023; email: haidi_ibrahim@ieee.org).
Maria Petrou is with the Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, SW7 2AZ, United Kingdom (email: maria.petrou@imperial.ac.uk).
Kevin Wells is with the Centre for Vision, Speech, and Signal Processing, University of Surrey, Guildford, GU2 7XH, United Kingdom (email: k.wells@surrey.ac.uk).
Simon Doran is with the Department of Physics, School of Electronics and Physical Sciences, University of Surrey, Guildford, GU2 7XH, United Kingdom (email: s.doran@surrey.ac.uk).
Øystein Olsen is with Radiologist Department, Great Ormond Street Hospital for Children NHS Trust, London, WC1N 3JN, United Kingdom (email: olseno@gosh.nhs.uk).
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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.
