Presentation 2011-01-19
Tracking Abnormality in Video Capsule Endoscopy by using Supporters Interpolated from Image Features
Seiichiro KABASHIMA, Vu HAI, Junqiu WANG, Tomio ECHIGO, Yasushi YAGI, Keiko YAGI, Masatsugu SHIBA, Hirotoshi OKAZAKI, Yasuhiro FUJIWARA, Tetsuo ARAKAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper describes a method to track abnormalities on successive frames in a capsule endoscopic image sequence. The exact tracking of abnormalities is useful for supporting diagnosis such as estimating duration appeared on images. The shape of an abnormality is changeable on the successive images, which makes it difficult to track abnormalities precisely. The proposed method uses not only abnormality image features but also surrounding features. Surrounding features, called supporters, are also difficult to track in the images, so they are treated mutually in the proposed method.
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Keyword(in English) Capsule Endoscopy / Tracking Abnormality / Tracking Deformable Target / Supporting Feature
Paper # MI2010-82
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Committee MI
Conference Date 2011/1/12(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Tracking Abnormality in Video Capsule Endoscopy by using Supporters Interpolated from Image Features
Sub Title (in English)
Keyword(1) Capsule Endoscopy
Keyword(2) Tracking Abnormality
Keyword(3) Tracking Deformable Target
Keyword(4) Supporting Feature
1st Author's Name Seiichiro KABASHIMA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Vu HAI
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Junqiu WANG
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
4th Author's Name Tomio ECHIGO
4th Author's Affiliation Osaka Electro-Communkation University
5th Author's Name Yasushi YAGI
5th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
6th Author's Name Keiko YAGI
6th Author's Affiliation Kobe Pharmaceutical University
7th Author's Name Masatsugu SHIBA
7th Author's Affiliation Osaka City General Hospital
8th Author's Name Hirotoshi OKAZAKI
8th Author's Affiliation Osaka City University Graduate Medical School
9th Author's Name Yasuhiro FUJIWARA
9th Author's Affiliation Osaka City University Graduate Medical School
10th Author's Name Tetsuo ARAKAWA
10th Author's Affiliation Osaka City University Graduate Medical School
Date 2011-01-19
Paper # MI2010-82
Volume (vol) vol.110
Number (no) 364
Page pp.pp.-
#Pages 6
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