Future of Information and Communication Conference (FICC) 2025
28-29 April 2025
Publication Links
IJACSA
Special Issues
Future of Information and Communication Conference (FICC)
Computing Conference
Intelligent Systems Conference (IntelliSys)
Future Technologies Conference (FTC)
International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 4, 2018.
Abstract: Computed tomography angiography (CTA) has turned non-invasive diagnosis of cardiovascular anomalies into a reality as state-of-the-art imaging equipment is capable of recording sub-millimeter details. Based on high intensity, the calcified plaques are easily identified in cardiac CTA; however, low density based non-calcified plaque detection has been a challenging problem in recent years. We propose an efficient method in this work for automated detection of the non-calcified plaques using discrete radial profiles. The plaque detection is accomplished using support vector machine to differentiate abnormal coronary segments. We investigated a total of 32 CTA volumes and the detection mean accuracy of 84.6% was achieved, which is in-line with the reported literature.
Muhammad Moazzam Jawaid, Sajjad Ali Memon, Imran Ali Qureshi and Nasrullah Pirzada, “Detection of Soft Atherosclerotic Plaques in Cardiac Computed Tomography Angiography” International Journal of Advanced Computer Science and Applications(IJACSA), 9(4), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090406
@article{Jawaid2018,
title = {Detection of Soft Atherosclerotic Plaques in Cardiac Computed Tomography Angiography},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090406},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090406},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {4},
author = {Muhammad Moazzam Jawaid and Sajjad Ali Memon and Imran Ali Qureshi and Nasrullah Pirzada}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.