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 | |
Publication status | Published - 2008 Jan |
Keywords
- Automatic thresholding
- Calcification detection
- Image segmentation
ASJC Scopus subject areas
- Radiological and Ultrasound Technology
- Biophysics
- Acoustics and Ultrasonics