光コヒーレンス断層画像を用いた生体組織歪み分布計測法(第2報,隣接相互相関乗法を用いたスペックルノイズ除去)

  • 佐伯 壮一
    山口大学大学院医学系研究科応用医工学系専攻
  • 橋本 洋平
    山口大学大学院医学系研究科応用医工学系専攻
  • 坂田 義太朗
    山口大学大学院医学系研究科応用医工学系専攻
  • 齊藤 俊
    山口大学大学院医学系研究科応用医工学系専攻
  • 廣 高史
    山口大学大学院医学系研究科器官病態内科学
  • 松崎 益徳
    山口大学大学院医学系研究科器官病態内科学

書誌事項

タイトル別名
  • Optical Coherence Straingraphy Using Low Coherence Intereferometer (2nd Report, Speckle Noise Reduction Using Adjacent Cross-correlation Multiplication)
  • ヒカリ コヒーレンス ダンソウ ガゾウ オ モチイタ セイタイ ソシキ ヒズミ ブンプ ケイソクホウ ダイ 2ホウ リンセツ ソウゴ ソウカン ジョウホウ オ モチイタ スペックル ノイズ ジョキョ
  • 2nd Report, Speckle Noise Reduction Using Adjacent Cross-correlation Multiplication
  • 第2報, 隣接相互相関乗法を用いたスペックルノイズ除去

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抄録

Acute coronary syndromes are caused by the rupture of unstable plaques on coronary arteries. The stability of plaque, which depends on biomechanical properties of fibrous cap, should be diagnosed crucially. Recently, Optical Coherence Straingraphy (OCS), e.g. an estimator of micro bio-strain distribution, has been being improved on the basis of Optical Coherence Tomography. This is composed of the recursive cross-correlation technique, which can provide the displacement vector distribution with high resolution. However, biomechanical characteristics have never estimated exhaustively, because OCT images severely include the speckle noise occurred by back-scattering light from tissue. In the present study, proposed is Adjacent Cross-correlation Multiplication (ACM) as speckle noise reduction method. Multiplying adjacent correlation maps can eliminate anomalies from speckle noise, and then enhance S/N in the determination of maximum correlation coefficient. Error propagation can be further prevented by recursively introducing to OCS algorithm. In this report, the proposed method was experimentally and numerically applied to compressed tissue samples to carry out the accuracy verifications. Consequently, it was quantitatively confirmed that its accuracy of displacement vectors could be enhanced by introducing ACM to OCS, thus, the proposed method can obtain the accurate strain map with high resolution.

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