Automatic extraction of a kidney contour by narrowing region based on the Q-learning

Yoshiki Kubota, Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu, Motokatsu Yasutomo

Research output: Contribution to conferencePaper

Abstract

We extract a kidney region as a preprocessing of kidney disease detection. The kidney region is detected based on its contour information that is extracted from a CT image using a dynamic gray scale value refinement method based on the Q-learning. An initial point to extract the kidney contour is decided by training gray scale values along horizontal direction with Neural Network (NN). Furthermore the kidney contour is corrected by using the snakes more accurately. It is demonstrated that the proposed method can detect stably the kidney contour from CT images of any patients.

Original languageEnglish
Pages128-131
Number of pages4
Publication statusPublished - 2005 Dec 1
Externally publishedYes
EventSICE Annual Conference 2005 - Okayama, Japan
Duration: 2005 Aug 82005 Aug 10

Other

OtherSICE Annual Conference 2005
CountryJapan
CityOkayama
Period05/8/805/8/10

Keywords

  • Automatic extraction
  • Kidney
  • NN
  • Q-learning
  • Snakes
  • X-ray CT Images

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Kubota, Y., Mitsukura, Y., Fukumi, M., Akamatsu, N., & Yasutomo, M. (2005). Automatic extraction of a kidney contour by narrowing region based on the Q-learning. 128-131. Paper presented at SICE Annual Conference 2005, Okayama, Japan.