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Coronary Artery Disease: HELP
Articles by Vidya K. Sudarshan
Based on 1 article published since 2008
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Between 2008 and 2019, Vidya K. Sudarshan wrote the following article about Coronary Artery Disease.
 
+ Citations + Abstracts
1 Review Computer aided diagnosis of Coronary Artery Disease, Myocardial Infarction and carotid atherosclerosis using ultrasound images: A review. 2017

Faust, Oliver / Acharya, U Rajendra / Sudarshan, Vidya K / Tan, Ru San / Yeong, Chai Hong / Molinari, Filippo / Ng, Kwan Hoong. ·Department of Engineering and Mathematics, Sheffield Hallam University, United Kingdom. · Department of Electronic & Computer Engineering, Ngee Ann Polytechnic, Singapore; Department of Biomedical Engineering, School of Science and Technology, SIM University, Singapore; Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. · Department of Electronic & Computer Engineering, Ngee Ann Polytechnic, Singapore. · Department of Biomedical Imaging, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. · Department of Electronics and Telecommunications, Politecnico di Torino, Turin, Italy. · Department of Biomedical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia. Electronic address: ngkh@ummc.edu.my. ·Phys Med · Pubmed #28010920.

ABSTRACT: The diagnosis of Coronary Artery Disease (CAD), Myocardial Infarction (MI) and carotid atherosclerosis is of paramount importance, as these cardiovascular diseases may cause medical complications and large number of death. Ultrasound (US) is a widely used imaging modality, as it captures moving images and image features correlate well with results obtained from other imaging methods. Furthermore, US does not use ionizing radiation and it is economical when compared to other imaging modalities. However, reading US images takes time and the relationship between image and tissue composition is complex. Therefore, the diagnostic accuracy depends on both time taken to read the images and experience of the screening practitioner. Computer support tools can reduce the inter-operator variability with lower subject specific expertise, when appropriate processing methods are used. In the current review, we analysed automatic detection methods for the diagnosis of CAD, MI and carotid atherosclerosis based on thoracic and Intravascular Ultrasound (IVUS). We found that IVUS is more often used than thoracic US for CAD. But for MI and carotid atherosclerosis IVUS is still in the experimental stage. Furthermore, thoracic US is more often used than IVUS for computer aided diagnosis systems.