Image-Based Modelling of Cardiac Mechanics

  • Mais Odai Al-Saffar Al-Nahrain University
  • Ziad T. Al-Dahhan Dept. of Biomedical Eng., Al-Nahrain University, Baghdad-Iraq.
  • Rafid B. Al-taweel Dept. of Internal Medicine, Al-Nahrain University, Baghdad-Iraq.
Keywords: Cardiac Mechanics, Heart Failure, CRT-D, 2D, Echocardiography, Modelling


The main objective of this study was to model the left ventricle (LV) based on 2D echocardiography imaging technique to assess the cardiac mechanics for group of patients affected by heart failure. A prospective study has been made at Ibn Al-Bitar center for cardiac surgery, for 13 patients with heart failure (HF), 9 patients were males (69%) and 4 females (31%). The mean age was 54±7 years. Those patients were supposed to undergo a CRT-D (Cardiac Resynchronization Therapy Defibrillator) implant as they didn’t respond to drug therapy. Before CRT-D implantation, 2D echocardiography was performed for all the patients, to model the left ventricle and to measure indices that were used to evaluate cardiac mechanics which are LV pressure, wall stresses, global longitudinal strain, and cardiac output. After 3-months of follow-up, 2D echocardiography was re-assessed and the left ventricular mechanics has been re-measured. Post CRT-D implantation, significant improvement in the cardiac mechanics was observed in 54% of the patients which were called responders (patients that respond to CRT-D device) and the other patients were called non-responders. It has been seen that, the circumferential wall stresses were decreased in responder’s group while increased or remain unchanged in non-responders. Global longitudinal strain for the responder’s group were increased while remain unchanged in the non-responders. So, patients were divided into responders and non-responders, based on improvement of the cardiac mechanics after 3-moths of follow up. It has been concluded that the modelling of the left ventricle based on images obtained from 2D echocardiography imaging techniques, was an important computational tool that was used to enhance understanding and support the evaluation, surgical guidance and treatment management of basic biophysics underlying cardiac mechanics.


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How to Cite
Al-Saffar, M., Al-Dahhan, Z., & Al-taweel, R. (2021). Image-Based Modelling of Cardiac Mechanics. Al-Nahrain Journal for Engineering Sciences, 24(2), 98-103.