Computer aided diagnosis of Coronary Artery Disease,Myocardial Infarction and carotid atherosclerosis using ultrasound images: A review |
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| Affiliation: | 1. Lankenau Medical Center and Institute for Medical Research, Main Line Health System, Wynnewood, PA, United States;2. The First Teaching Hospital, Xi''An Jiaotong University, Xi''An, China;3. Jefferson Medical College, Philadelphia, PA, United States;1. Centre for Family Medicine, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden;2. Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden;3. Division of Cardiovascular Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden;4. Cardiology Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden;5. Department of Cardiology, Karolinska University Hospital, Stockholm, Sweden;1. Mugla Sitki Kocman University, Faculty of Medicine, Department of Pharmacology, Turkey;2. Mugla Sitki Kocman University, Faculty of Medicine, Department of Cardiology, Turkey;3. Mugla Sitki Kocman University, Faculty of Medicine, Department of Physiology, Turkey;1. Discipline of Electrical Engineering, Indian Institute of Technology Indore, Indore, 453552, India;2. Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489, Singapore;1. Department of Computer Science and Engineering, National Institute of Technology Calicut, Kerala, India;2. Division of Cardiovascular Medicine, Toho University Ohashi Medical Center, Tokyo, Japan;3. Department of Computer Science and Engineering, National Institute of Technology Karnataka, Surathkal, India;4. Heart and Vascular Institute, Adventist Health, St. Helena, CA, USA;5. Vascular Diagnostic Center, University of Cyprus, Nicosia, Cyprus;6. Stroke Monitoring Division, AtheroPoint, Roseville, CA, USA;7. Department of Electrical Engineering, University of Idaho (Affl.), ID, USA |
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| 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. |
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| Keywords: | Computer aided diagnosis Coronary Artery Disease Myocardial Infarction Carotid atherosclerosis Thoracic Ultrasound Intravascular Ultrasound |
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