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

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

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 conference › Paper › peer-review

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 language	English
Pages	128-131
Number of pages	4
Publication status	Published - 2005
Externally published	Yes
Event	SICE Annual Conference 2005 - Okayama, Japan Duration: 2005 Aug 8 → 2005 Aug 10

Other

Other	SICE Annual Conference 2005
Country/Territory	Japan
City	Okayama
Period	05/8/8 → 05/8/10

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

Cite this

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title = "Automatic extraction of a kidney contour by narrowing region based on the Q-learning",

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.",

keywords = "Automatic extraction, Kidney, NN, Q-learning, Snakes, X-ray CT Images",

author = "Yoshiki Kubota and Yasue Mitsukura and Minoru Fukumi and Norio Akamatsu and Motokatsu Yasutomo",

year = "2005",

language = "English",

pages = "128--131",

}

TY - CONF

T1 - Automatic extraction of a kidney contour by narrowing region based on the Q-learning

AU - Kubota, Yoshiki

AU - Mitsukura, Yasue

AU - Fukumi, Minoru

AU - Akamatsu, Norio

AU - Yasutomo, Motokatsu

PY - 2005

Y1 - 2005

N2 - 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.

AB - 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.

KW - Automatic extraction

KW - Kidney

KW - NN

KW - Q-learning

KW - Snakes

KW - X-ray CT Images

UR - http://www.scopus.com/inward/record.url?scp=33645300717&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33645300717&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:33645300717

SP - 128

EP - 131

T2 - SICE Annual Conference 2005

Y2 - 8 August 2005 through 10 August 2005

ER -

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

Abstract

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Keywords

ASJC Scopus subject areas

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