An algorithm to measure unsymmetrical circle shape of intravascular ultrasound image using image processing techniques
In diagnosing coronary artery disease, measurement of the cross-sectional area of the lumen, maximum and minimum diameter is very important. Mainly, it will be used to confirm the diagnosing, to predict the stenosis if any and to ensure the size of the stent to be used. However, the measurement only...
Saved in:
Main Authors: | Kutty, Suhaili Beeran, O. K. Rahmat, Rahmita Wirza, Kassim, Sazzli Shahlan, Madzin, Hizmawati, Hamdan, Hazlina |
---|---|
Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2021
|
Online Access: | http://psasir.upm.edu.my/id/eprint/95784/ https://beei.org/index.php/EEI/article/view/2694 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Three-dimensional coronary artery reconstruction based on single-plane angiography and intravascular ultrasound registration
by: Beeran Kutty, Suhaili
Published: (2020) -
Calcification detection using convolutional neural network architectures in intravascular ultrasound images
by: Sofian, H., et al.
Published: (2019) -
Detection of vulnerable plaque in virtual histology intravascular ultrasound images using SVM
by: Rezaei, Z., et al.
Published: (2015) -
Using deep learning for calculation detection in coronary artery disease intravascular ultrasound image
by: Sofian, H., et al.
Published: (2019) -
Calcification detection of coronary artery disease in intravascular ultrasound image: Deep feature learning approach
by: Sofian, Hannah, et al.
Published: (2018)