During the final year of my Master’s, I was working at Siemens Corporate Technology in Princeton, NJ, USA, on a very interesting project dealing with various aspects of electrophysiology and biomechanics models of the human heart muscle. My time there was one of my most productive phases so far, with not only the successful completion of my MSc thesis titled “Efficient and Robust Patient-Specific Model of the Heart Function based on MRI Images” but also a great publication outcome (see below).
In my work, fast and robust patient-specific parameter estimation for a biomechanic model of the human heart from clinical and imaging data is investigated. Of course, my results are based on available models of heart anatomy and electrophysiology, and – working in a great team at Siemens – I could heavily benefit from extensive experience in heart segmentation and model generation.
My thesis has two major contributions: First, an integrated framework to compute cardiac motion using a finite element setup is presented, in particular including an efficient strategy to parallelize the evaluation of stress and mechanical boundary conditions for high-performance implementations. Second, a novel, data-driven approach to calibrate electrophysiology (EP) parameters from clinically available 12-lead electrocardiograms (ECGs) is introduced, as illustrated in the figure.
Forward workflow to compute ECG parameters from electrophysiology (EP) model derived from segmented myocardium, and backward workflow to estimate EP model parameters from measured ECG features.
For more details, please refer to the following publications:
Mansi, Tommaso; Beinart, Roy; Zettinig, Oliver; Rapaka, Saikiran; Georgescu, Bogdan; Kamen, Ali; Dori, Yoav; Zviman, Muz M; Herzka, Daniel A; Halperin, Henry R; Comaniciu, Dorin
@inproceedings{mansi2014stacom,
title = {A Framework for the Pre-clinical Validation of LBM-EP for the Planning and Guidance of Ventricular Tachycardia Ablation},
author = {Tommaso Mansi and Roy Beinart and Oliver Zettinig and Saikiran Rapaka and Bogdan Georgescu and Ali Kamen and Yoav Dori and Muz M Zviman and Daniel A Herzka and Henry R Halperin and Dorin Comaniciu},
url = {https://www.zettinig.eu/down/zettinig2013stacom.pdf},
doi = {10.1007/978-3-642-54268-8_30},
year = {2014},
date = {2014-01-01},
booktitle = {Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges},
volume = {8330},
pages = {253--261},
publisher = {Springer LNCS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@article{zettinig2014media,
title = {Data-driven estimation of cardiac electrical diffusivity from 12-lead ECG signals},
author = {Oliver Zettinig and Tommaso Mansi and Dominik Neumann and Bogdan Georgescu and Saikiran Rapaka and Philipp Seegerer and Elham Kayvanpour and Farbod Sedaghat-Hamedani and Ali Amr and Jan Haas and Henning Steen and Hugo Katus and Benjamin Meder and Nassir Navab and Ali Kamen and Dorin Comaniciu},
url = {https://www.zettinig.eu/down/zettinig2014media.pdf},
doi = {10.1016/j.media.2014.04.011},
year = {2014},
date = {2014-01-01},
journal = {Medical Image Analysis},
volume = {18},
number = {8},
pages = {1361--1376},
publisher = {Elsevier},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
@inproceedings{zettinig2013miccai,
title = {Fast data-driven calibration of a cardiac electrophysiology model from images and ECG},
author = {Oliver Zettinig and Tommaso Mansi and Bogdan Georgescu and Elham Kayvanpour and Farbod Sedaghat-Hamedani and Ali Amr and Jan Haas and Henning Steen and Benjamin Meder and Hugo Katus and Nassir Navab and Ali Kamen and Dorin Comaniciu},
url = {https://www.zettinig.eu/down/miccai2013-ep-ecg.pdf},
doi = {10.1007/978-3-642-40811-3_1},
year = {2013},
date = {2013-01-01},
booktitle = {Medical Image Computing and Computer-Assisted Intervention--MICCAI
2013},
volume = {8149},
pages = {1--8},
publisher = {Springer LNCS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{georgescu2013hpc,
title = {Towards Real-Time Cardiac Electrophysiology Computations Using GP-GPU Lattice-Boltzmann Method},
author = {Bogdan Georgescu and Saikiran Rapaka and Tommaso Mansi and Oliver Zettinig and Ali Kamen and Dorin Comaniciu},
url = {https://www.zettinig.eu/down/hpmiccai2013.pdf},
year = {2013},
date = {2013-01-01},
booktitle = {MICCAI Workshop on High Performance Computing for Biomedical Image Analysis--HPC-MICCAI},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
@inproceedings{zettinig2013fimh,
title = {From medical images to fast computational models of heart electromechanics: an integrated framework towards clinical use},
author = {Oliver Zettinig and Tommaso Mansi and Bogdan Georgescu and Saikiran Rapaka and Ali Kamen and Jan Haas and Karen S Frese and Farbod Sedaghat-Hamedani and Elham Kayvanpour and Ali Amr and Stefan Hardt and Derliz Mereles and Henning Steen and Andreas Keller and Hugo A Katus and Benjamin Meder and Nassir Navab and Dorin Comaniciu},
url = {https://www.zettinig.eu/down/fimh2013-fastem.pdf},
doi = {10.1007/978-3-642-38899-6_30},
year = {2013},
date = {2013-01-01},
booktitle = {Functional Imaging and Modeling of the Heart},
volume = {7945},
pages = {249--258},
publisher = {Springer LNCS},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
