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.
Phys Med. 2017 Jan;33:1-15. doi: 10.1016/j.ejmp.2016.12.005. Epub 2016 Dec 20.
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.
冠状动脉疾病（CAD）、心肌梗死（MI）和颈动脉粥样硬化的诊断至关重要，因为这些心血管疾病可能导致医疗并发症和大量死亡。超声（US）是一种广泛使用的成像方式，因为它能捕捉动态图像，且图像特征与其他成像方法获得的结果相关性良好。此外，超声不使用电离辐射，与其他成像方式相比成本较低。然而，读取超声图像需要时间，且图像与组织成分之间的关系复杂。因此，诊断准确性取决于读取图像所需的时间以及筛查从业者的经验。当使用适当的处理方法时，计算机支持工具可以减少操作人员之间的差异，降低对特定受试者专业知识的要求。在当前的综述中，我们分析了基于胸部超声和血管内超声（IVUS）诊断CAD、MI和颈动脉粥样硬化的自动检测方法。我们发现，对于CAD，IVUS的使用频率高于胸部超声。但对于MI和颈动脉粥样硬化，IVUS仍处于实验阶段。此外，在计算机辅助诊断系统中，胸部超声的使用频率高于IVUS。
