Extraction of the liver tumor in CT images by real coded genetic algorithm (RGA)

Koh Nakamichi, Stephen Karungaru, Minoru Fukumi, Takuya Akashi, Yasue Mitsukura, Motokatsu Yasutomo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In Japan, diet-linked diseases are increasing owing to the reasons of diversified and meat-oriented diet. Disease of an internal organ and brain disease are those instances. Furthermore regardless of race, increase in fatalities by cancer, cardiac disease and cerebropathy is a social issue. Medical equipments as the CT, MRI and ultrasonography (US) is used for these sick discoveries. The demand for Medical Equipments has increased. The doctor's load is increasing as it increases. The purpose of this work is the construction of an automatic diagnosis support system for CT images in order to reduce the doctor's load. Toward this end, in this paper, a method to extract liver tumors in CT images using a real-coded genetic algorithm is proposed. Conventionally, a threshold is necessary to extract an object from an image. However, such a method is not effective for CT images because gray scale values are different in each image. Therefore, in this paper, we propose the method for extracting the tumor in the liver from the CT image without the need of a threshold. In this method, a polygon enclosure of the liver tumor is extracted using a GA.

Original languageEnglish
Title of host publicationProceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006
Pages366-371
Number of pages6
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event2nd IASTED International Conference on Computational Intelligence, CI 2006 - San Francisco, CA, United States
Duration: 2006 Nov 202006 Nov 22

Publication series

NameProceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006

Other

Other2nd IASTED International Conference on Computational Intelligence, CI 2006
CountryUnited States
CitySan Francisco, CA
Period06/11/2006/11/22

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Keywords

  • CT images
  • Cancer
  • Extraction
  • Liver tumor
  • Medical imaging
  • Real-coded genetic algorithm
  • Segmentation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Mechanics

Cite this

Nakamichi, K., Karungaru, S., Fukumi, M., Akashi, T., Mitsukura, Y., & Yasutomo, M. (2006). Extraction of the liver tumor in CT images by real coded genetic algorithm (RGA). In Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006 (pp. 366-371). (Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006).