Thesis linked to the implementation of the María de Maeztu Strategic Research Program.

Open access to PhD thesis carried out at the Department can be found at TDX

Please visit these pages for information on our PhD, MSc and BSc programs.


Back Cardiac Resynchronization Therapy ElectroPhysiological challenge 2019 CRT-EPiggy19 challenge

The main goal of the challenge is to review the state-of-the-art of cardiac computational models and assess their ability to predict the electrical outcome of pacemaker-based therapies. The most challenging steps and promising solutions in the personalization modelling pipeline will be identified, as well as the requirements for the clinical translation of these tools. 

The challenge will be based on multi-modal data acquired at Hospital Clínic de Barcelona of a swine model of left bundle branch block for experimental studies of CRT (Rigol et al., J Cardiovasc Transl Res 2013). Biventricular finite-element meshes built from segmentations of magnetic resonance images by Siemens Healthineers researchers (supervised by Dr Tommaso Mansi), including cardiomyocyte orientation from rule-based models and local activation times mapped from electro-anatomical data at LBBB and CRT stages, will be provided to the participants as training data (4 cases). After model personalization, they will be asked to predict electrical response in the testing dataset (8 cases). A thorough analysis of the electrophysiological data in the training cases is available in Soto-Iglesias et al. (IEEE J Transl Eng Health Med 2016).

Challenge results and a discussion on the different methodological choices will be collected in the form of a journal publication, similarly to the one derived from the ancestor of this challenge, the CESC'10 challenge (Camara et al., Prog Biophys Mol Biol 2011). 

Find below the call for participants (and download here). The website of the challenge is also accessible from the STACOM19 one (