Indian Journal of Science and Technology

Open Access Open Access  Restricted Access Subscription Access

A Knowledge based Technique for Segmenting Liver using Mathematical Morphology


Affiliations
1 Computer Centre, Gandhigram Rural Institute-Deemed University, Dindigul District - 624302, Tamil Nadu, India
 

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.
User

Abstract Views: 264

PDF Views: 0




  • A Knowledge based Technique for Segmenting Liver using Mathematical Morphology

Abstract Views: 264  |  PDF Views: 0

Authors

S. Kiruthika
Computer Centre, Gandhigram Rural Institute-Deemed University, Dindigul District - 624302, Tamil Nadu, India
I. Kaspar Raj
Computer Centre, Gandhigram Rural Institute-Deemed University, Dindigul District - 624302, Tamil Nadu, India

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.



DOI: https://doi.org/10.17485/ijst%2F2016%2Fv9i38%2F126609