Quantitative measurement for pathological change of pulley tissue from microscopic images via color-based segmentation

  • Authors:

  • Yung-Chun Liu;Hui-Hsuan Shih;Tai-Hua Yang;Hsiao-Bai Yang;Dee-Shan Yang;Yung-Nien Sun

  • Affiliations:

  • Department of Computer Science & Information Engineering, National Cheng Kung University, Taiwan, R.O.C. and Medical Device Innovation Center, National Cheng Kung University, Taiwan, R.O.C.;Department of Computer Science & Information Engineering, National Cheng Kung University, Taiwan, R.O.C. and Medical Device Innovation Center, National Cheng Kung University, Taiwan, R.O.C.;Institute of Biomedical Engineering, National Cheng Kung University, Taiwan, R.O.C. and Orthopedic Biomechanics Laboratory, Division of Orthopedic Research, Mayo Clinic Rochester, Rochester, Minne ...;Department of Pathology, Medical College, National Cheng Kung University, Taiwan, R.O.C. and Department of Pathology, Ton-Yen General Hospital, Taiwan, R.O.C.;Department of Orthopedic Surgery, Ton-Yen General Hospital, Taiwan, R.O.C.;Department of Computer Science & Information Engineering, National Cheng Kung University, Taiwan, R.O.C. and Medical Device Innovation Center, National Cheng Kung University, Taiwan, R.O.C.

  • Venue:
  • ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
  • Year:
  • 2012

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Abstract

Measurement of pathological change in pulley tissue is an important index for trigger finger disease. However, the current measurement process is mostly based on manual estimation which is subjective and time-consuming. We hence propose an automatic method for quantitatively measuring the pathological change of pulley tissue from microscopic images. We first apply the color normalization to normalize all the acquired images. Then we use a three-stepped color segmentation process to extract the areas of diseased tissues. On the other hand, we also apply an active double thresholding scheme to segment the nuclei and extract shape features of nucleus. At last, the ratio of abnormal tissue area and the ratio of abnormal nuclei are calculated as the indices for the evaluation of trigger finger disease. The result showed good correlation between the expert judgments and the measured parameters.