Automated calcification detection and quantification in intravascular ultrasound images by adaptive thresholding

Esmeraldo Dos Santos Filho, Y. Saijo, A. Tanaka, T. Yambe, S. Li, M. Yoshizawa

Research output: Contribution to journalConference articlepeer-review

12 Citations (Scopus)

Abstract

An innovative application of adaptive thresholding is used for calcification regions detection in intravascular ultrasound images. A priori knowledge about the acoustic shadow that usually follows the calcification regions is used as discriminant of other bright regions of the image. Tests were carried out with 20 in vivo coronary artery images obtained from different patients. This proposed algorithm presented specificity of 88% and sensitivity of 84%. A receiver operating characteristic (ROC) curve, whose area under the curve (AUC) was equal to 0.87, was plotted for evaluation of the algorithm performance. A technique for measure of the arc of calcium from the segmented images is also presented. The measures of the arc of calcium calculated by the proposed algorithm presented a correlation coefficient of 0.92 when compared with measures performed manually by a human expert.

Original languageEnglish
Pages (from-to)1421-1425
Number of pages5
JournalIFMBE Proceedings
Volume14
Issue number1
Publication statusPublished - 2007 Jan 1
Event10th World Congress on Medical Physics and Biomedical Engineering, WC 2006 - Seoul, Korea, Republic of
Duration: 2006 Aug 272006 Sep 1

Keywords

  • Adaptive thresholding
  • Image segmentation
  • Intravascular ultrasound

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

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