To Estimate Pulmonary Arterial Compliance and Pulse Wave Velocity in Cerebral-Cardiovascular Patients Using CT Cardiac Images

WeiChih Hu^1, , Hsuan-Ming Tsao², Jian Xiang Zhi², Harmon Chris T. Herman³, Lemmuel L. Tayo³, Yashbir Singh¹, Kathiravan S⁴, João Manuel R.S. Tavares⁵ and Chandan Chakraborty⁶

¹Department of Biomedical Engineering, Chung Yang Christian University, Chung Li, Taiwan

²Divisions of Cardiology, National Yang Ming University Hospital and National Yang Ming University, Yi-Lan, Taiwan

³Mapua Institute of Technology, Manila, Philippines

⁴Department of Computer Science and Information Engineering, National Ilan University, Taiwan

⁵Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Portugal

⁶School of Medical Science & Technology (SMST), Indian Institute of Technology Kharagpur, India

Cite this paper:
WeiChih Hu, Hsuan-Ming Tsao, Jian Xiang Zhi, Harmon Chris T. Herman, Lemmuel L. Tayo, Yashbir Singh, Kathiravan S, João Manuel R.S. Tavares and Chandan Chakraborty. To Estimate Pulmonary Arterial Compliance and Pulse Wave Velocity in Cerebral-Cardiovascular Patients Using CT Cardiac Images. American Journal of Medical and Biological Research. 2017; 5(2):23-30. doi: 10.12691/ajmbr-5-2-3

Abstract

Arterial stiffness has been proven to be one of the most promising diagnostic and prognostic features of many cardiovascular diseases (CVD). Arterial compliance (AC) and pulse wave velocity (PWV) allows a good quantitative assessment of arterial stiffness. To estimate pulmonary Arterial Compliance and Pulse Wave Velocity in Cerebral-Cardiovascular Patients using 64-Row Multi-Detector Computed Tomography Cardiac Images. Here in this work, we have used an in house developed three-dimensional reconstruction algorithm that extracts high-resolution cardiac Computer Tomography images in Digital Imaging and Communications in Medicine (DICOM) format from nine subjects. The subjects consist four patients with stroke (SR) turned to atrial fibrillation (AF) and five patients with both SR and AF. The calculation showed strok volume of Left and Right Ventricles, which are near equal to 62.56±12.61 ml and 65.95±13.13 ml, respectively, with a good positive correlation (R = 0.717, p < 0.0001) while pulse wave velocity and arterial compliance are calculated to be 0.21±0.0665 m/s and 0.09 ± 0.0547 ml/mmHg for patients with SR turned AF, 0.15±0.0502 m/s and 0.10 ± 0.0438 for the SR and AF patients. We concluded that the derived methodology for calculation of PWV and AC from 3D cardiac CT images could be used as an index in the evaluation of arterial stiffness.

Keywords:
arterial compliance arterial stiffness Computer Tomography Digital Imaging Cardiac stroke

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