Efficient liver segmentation based on the spine

  • Authors:

  • Kyung-Sik Seo;Lonnie C. Ludeman;Seung-Jin Park;Jong-An Park

  • Affiliations:

  • Dept. of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM;Dept. of Electrical & Computer Engineering, New Mexico State University, Las Cruces, NM;Dept. of Biomedical Engineering, Chonnam National University Hospital, Gwangju, Korea;Dept. of Information & Communications Engineering, Chosun University, Gwangju, Korea

  • Venue:
  • ADVIS'04 Proceedings of the Third international conference on Advances in Information Systems
  • Year:
  • 2004

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Abstract

The first significant process for liver diagnosis of the computed tomography is to segment the liver structure from other abdominal organs. In this paper, we propose an efficient liver segmentation algorithm using the spine as a reference point without the reference image and training data. A multi-modal threshold method based on piecewise linear interpolation extracts ranges of regions of interest. Spine segmentation is performed to find the reference point providing geometrical coordinates. C-class maximum a posteriori decision using the reference point selects the liver region. Then binary morphological filtering is processed to provide better segmentation and boundary smoothing. In order to evaluate automatically segmented results of the proposed algorithm, the area error rate and rotational binary region projection matching method are applied. Evaluation results suggest proposed liver segmentation has strong similarity performance as the manual method of a medical doctor.