Detection and Quantification of Calcifications in Intravascular Ultrasound Images by Automatic Thresholding

E. Santos Filho, Y. Saijo, A. Tanaka, M. Yoshizawa

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

An innovative application of automatic thresholding is used for the detection of calcification regions in intravascular ultrasound images. A priori knowledge of the acoustic shadow that usually accompanies calcification regions is used to discriminate these from other bright regions in the image. A method for the calculation of the angle of calcification has also been developed. The proposed algorithms are applied to in-vivo images obtained from left anterior descending coronary arteries during percutaneous transluminal coronary angioplasty (n = 14). The resulting specificity is 72% and the sensitivity 84%. The receiver operating characteristic curve, the area under the curve being equal to 0.91, is plotted to evaluate the algorithm performance. (E-mail: esmeraldo@ieee.org).

Original languageEnglish
Pages (from-to)160-165
Number of pages6
JournalUltrasound in Medicine and Biology
Volume34
Issue number1
DOIs
Publication statusPublished - 2008 Jan

Keywords

  • Automatic thresholding
  • Calcification detection
  • Image segmentation

ASJC Scopus subject areas

  • Biophysics
  • Radiological and Ultrasound Technology
  • Acoustics and Ultrasonics

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