Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI

Giovanni Molina; Jose D. Velazco-Garcia; Dipan J. Shah; Aaron T. Becker; Ioannis Seimenis; Panagiotis Tsiamyrtzis; Nikolaos V. Tsekos

doi:10.1109/BIBE.2019.00189

Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI

Giovanni Molina, Jose D. Velazco-Garcia, Dipan J. Shah, Aaron T. Becker, Ioannis Seimenis, Panagiotis Tsiamyrtzis, Nikolaos V. Tsekos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Heart disease is highly prevalent in developed countries, causing 1 in 4 deaths. In this work we propose a method for a fully automated 4D reconstruction of the left ventricle of the heart. This can provide accurate information regarding the heart wall motion and in particular the hemodynamics of the ventricles. Such metrics are crucial for detecting heart function anomalies that can be an indication of heart disease. Our approach is fast, modular and extensible. In our testing, we found that generating the 4D reconstruction from a set of 250 MRI images takes less than a minute. The amount of time saved as a result of our work could greatly benefit physicians and cardiologist as they diagnose and treat patients.

Original language	English (US)
Title of host publication	Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1019-1023
Number of pages	5
ISBN (Electronic)	9781728146171
DOIs	https://doi.org/10.1109/BIBE.2019.00189
State	Published - Oct 1 2019
Event	19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 - Athens, Greece Duration: Oct 28 2019 → Oct 30 2019

Other

Other	19th International Conference on Bioinformatics and Bioengineering, BIBE 2019
Country/Territory	Greece
City	Athens
Period	10/28/19 → 10/30/19

Keywords

Cardiac
Heart
Machine learning
Magnetic Resonance Imaging
Reconstruction
Segmentation
Ventricle

ASJC Scopus subject areas

Information Systems
Biomedical Engineering
Health Informatics

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10.1109/BIBE.2019.00189

Cite this

Molina, G., Velazco-Garcia, J. D., Shah, D. J., Becker, A. T., Seimenis, I., Tsiamyrtzis, P., & Tsekos, N. V. (2019). Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI. In Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019 (pp. 1019-1023). Article 8941813 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2019.00189

Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI. / Molina, Giovanni; Velazco-Garcia, Jose D.; Shah, Dipan J. et al.
Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1019-1023 8941813.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Molina, G, Velazco-Garcia, JD, Shah, DJ, Becker, AT, Seimenis, I, Tsiamyrtzis, P & Tsekos, NV 2019, Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI. in Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019., 8941813, Institute of Electrical and Electronics Engineers Inc., pp. 1019-1023, 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019, Athens, Greece, 10/28/19. https://doi.org/10.1109/BIBE.2019.00189

Molina G, Velazco-Garcia JD, Shah DJ, Becker AT, Seimenis I, Tsiamyrtzis P et al. Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI. In Proceedings - 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering, BIBE 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1019-1023. 8941813 doi: 10.1109/BIBE.2019.00189

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abstract = "Heart disease is highly prevalent in developed countries, causing 1 in 4 deaths. In this work we propose a method for a fully automated 4D reconstruction of the left ventricle of the heart. This can provide accurate information regarding the heart wall motion and in particular the hemodynamics of the ventricles. Such metrics are crucial for detecting heart function anomalies that can be an indication of heart disease. Our approach is fast, modular and extensible. In our testing, we found that generating the 4D reconstruction from a set of 250 MRI images takes less than a minute. The amount of time saved as a result of our work could greatly benefit physicians and cardiologist as they diagnose and treat patients.",

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Automated Segmentation and 4D Reconstruction of the Heart Left Ventricle from CINE MRI

Abstract

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Keywords

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