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Role of Mathematical Modelling for Cardiac Function Evaluation in Heart Failure Patients

EasyChair Preprint no. 4985

12 pagesDate: February 8, 2021


The development of patient-specific (PS) cardiac models is increasing exponentially in order to reach highly detailed description of anatomy and mechanical simulation of the organ. This is growing in parallel with computational tools, becoming day-by-day more and more sophisticated.

This study stands at this projection of large-scale performance of cardiac models and chases the challenge to find the right substitute for CT and MRI imaging techniques to make the modeling process easier to develop without loss of patient-specific feature.

It is important to focus on using ECHO images as the source for anatomical 2D geometry for patient affected by heart failure. There are many issues in understanding a priori if the patient can benefit from CRT implantation and Echocardiography is one of the first and most common test to which the patient has to undergo in this field.

An echo image-based computational model uses data from a routine test, first used for cardiac pathological patients for quantification and assessment of the disease, looking forward for hospital resource savings.

Keyphrases: heart failure, left ventricle, mathematical modelling

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Mais Al-Saffar and Ziad Al-Dahhan and Rafid Al-Taweel},
  title = {Role of Mathematical Modelling for Cardiac Function Evaluation in Heart Failure Patients},
  howpublished = {EasyChair Preprint no. 4985},

  year = {EasyChair, 2021}}
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