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  1. 60 地域イノベーション学研究科
  2. 60C 紀要
  3. Proceedings of the International Workshop on Regional Innovation Studies
  4. 2(2010)

A Proposal of Measuring Method for the Size of Abnormal Part Using Correlation Coefficient on Intensity Distribution from Optical Coherence Tomography Images

http://hdl.handle.net/10076/11667
http://hdl.handle.net/10076/11667
661ce446-0f81-4d64-b152-51bb78f9872b
名前 / ファイル ライセンス アクション
60C15241.pdf 60C15241.pdf (293.7 kB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2011-11-09
タイトル
タイトル A Proposal of Measuring Method for the Size of Abnormal Part Using Correlation Coefficient on Intensity Distribution from Optical Coherence Tomography Images
言語 en
言語
言語 eng
キーワード
言語 en
主題Scheme Other
主題 Optical coherence tomography (OCT)
キーワード
言語 en
主題Scheme Other
主題 Retinal diseases
キーワード
言語 en
主題Scheme Other
主題 Correlation coefficient
キーワード
言語 en
主題Scheme Other
主題 Computer-aided diagnosis system
キーワード
言語 en
主題Scheme Other
主題 Quantitative evaluation
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ departmental bulletin paper
著者 Kodama, Dai

× Kodama, Dai

en Kodama, Dai

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Yamakawa, Ai

× Yamakawa, Ai

en Yamakawa, Ai

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Tsuruoka, Shinji

× Tsuruoka, Shinji

en Tsuruoka, Shinji

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Kawanaka, Hiroharu

× Kawanaka, Hiroharu

en Kawanaka, Hiroharu

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Takase, Haruhiko

× Takase, Haruhiko

en Takase, Haruhiko

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Uji, Yukitaka

× Uji, Yukitaka

en Uji, Yukitaka

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Matsubara, Hisashi

× Matsubara, Hisashi

en Matsubara, Hisashi

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Okuyama, Fumio

× Okuyama, Fumio

en Okuyama, Fumio

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抄録
内容記述タイプ Abstract
内容記述 In ophthalmology, optical coherence tomography
(OCT) is rapidly becoming popular to diagnose retinal diseases.
However, the quantitative evaluation of retinal diseases has not
been established for OCT image. Some clinical doctors desire a
computer-aided diagnosis system to evaluate the size and the
degree of disease quantitatively. In previous researches, the
size of the retinal diseases is measured as abnormal parts of
small regions in the number of layer boundaries, which is
estimated by analysis method on a gray level profile for an
OCT image. However, in an abnormal part, the difference of
the number of layer boundaries is small between abnormal
parts and normal parts, and the previous method can’t detect
the size of the abnormal part. In this research, we propose a
new method to measure the size of abnormal parts using correlation
coefficient in gray level distribution for an OCT image.
In the gray level distributions of the OCT image, the correlation
coefficient is large in normal parts, and the coefficient is
small between normal regions and abnormal parts. Therefore,
our system can detect the position of borders between abnormal
parts and normal parts using the distribution of correlation
coefficient. We apply the proposed method to some retinal
disease images. For an OCT image, we obtained the overlap
rate 92.3[%] between the identified part by the proposed method
and the clinical doctor for the abnormal part. The overlap
rate is improved for 21 OCT images among 25 OCT images,
and the improved rate in the proposed method is 84[%]
compared with the previous method
書誌情報 Proceedings of the Second International Workshop on Regional Innovation Studies : (IWRIS2010)

号 2, p. 79-82, 発行日 2011-10-01
フォーマット
内容記述タイプ Other
内容記述 application/pdf
著者版フラグ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
出版者
出版者 Graduate School of Regional Innovation Studies, Mie University
資源タイプ(三重大)
値 Departmental Bulletin Paper / 紀要論文
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