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

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

doi:10.1016/j.ultrasmedbio.2007.06.025

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 journal › Article › peer-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 language	English
Pages (from-to)	160-165
Number of pages	6
Journal	Ultrasound in Medicine and Biology
Volume	34
Issue number	1
DOIs	https://doi.org/10.1016/j.ultrasmedbio.2007.06.025
Publication status	Published - 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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10.1016/j.ultrasmedbio.2007.06.025

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title = "Detection and Quantification of Calcifications in Intravascular Ultrasound Images by Automatic Thresholding",

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).",

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