A Knowledge based Technique for Segmenting Liver using Mathematical Morphology

S  Kiruthika  and I  Kaspar Raj

doi:10.17485/ijst/2016/v9i38/101791

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A Knowledge based Technique for Segmenting Liver using Mathematical Morphology

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Indian Journal of Science and Technology

DOI: 10.17485/ijst/2016/v9i38/101791

Year: 2016, Volume: 9, Issue: 38, Pages: 1-5

Original Article

A Knowledge based Technique for Segmenting Liver using Mathematical Morphology

S. Kiruthika^* and I. Kaspar Raj

Computer Centre, Gandhigram Rural Institute-Deemed University, Dindigul District - 624302, Tamil Nadu, India; [email protected]
[email protected]
*Author for correspondence
Kiruthika
Computer Centre
Email: [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

Segmentation of Liver from Computed Tomography (CT) abdomen image is the most basic and important technology and a prerequisite for the diagnosis, treatment planning, and surgery planning. Manual segmentation is time consuming and tedious. To precisely segment and assist radiologist a computer assisted approach is developed. The proposed method integrates knowledge base with mathematical morphology to segment liver. Quantitative evaluation is performed and the mean score of 93% is obtained.
Keywords: Computed Tomography, Histogram Tail Threshold, Liver Segmentation, Morphological Operations