Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging

Alexandra Cristobal-Huerta; Angel Torrado-Carvajal; Norberto Malpica; Maria Luaces; Juan Antonio Hernandez-Tamames

doi:10.1109/EMBC.2015.7320079

Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging

Alexandra Cristobal-Huerta, Angel Torrado-Carvajal, Norberto Malpica, Maria Luaces, Juan Antonio Hernandez-Tamames

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

14 Citations (Scopus)

Abstract

Cardiovascular disease is one of the leading causes of death worldwide. Epicardial adipose tissue (EAT) has emerged as an independent predictor of high cardiometabolic risk. Cardiovascular MRI has proven to be a feasible and reproducible method to assess EAT quantitatively.

Original language	English
Title of host publication	2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	7308-7311
Number of pages	4
ISBN (Electronic)	9781424492718
DOIs	https://doi.org/10.1109/EMBC.2015.7320079
Publication status	Published - 4 Nov 2015
Externally published	Yes
Event	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 - Milan, Italy Duration: 25 Aug 2015 → 29 Aug 2015

Publication series

Series	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2015-November
ISSN	1557-170X

Conference

Conference	37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015
Country/Territory	Italy
City	Milan
Period	25/08/15 → 29/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/EMBC.2015.7320079

Cite this

Cristobal-Huerta, A., Torrado-Carvajal, A., Malpica, N., Luaces, M., & Hernandez-Tamames, J. A. (2015). Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 (pp. 7308-7311). Article 7320079 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2015.7320079

Cristobal-Huerta, Alexandra ; Torrado-Carvajal, Angel ; Malpica, Norberto et al. / Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging. 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 7308-7311 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2015-November).

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title = "Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging",

abstract = "Cardiovascular disease is one of the leading causes of death worldwide. Epicardial adipose tissue (EAT) has emerged as an independent predictor of high cardiometabolic risk. Cardiovascular MRI has proven to be a feasible and reproducible method to assess EAT quantitatively.",

author = "Alexandra Cristobal-Huerta and Angel Torrado-Carvajal and Norberto Malpica and Maria Luaces and Hernandez-Tamames, \{Juan Antonio\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015 ; Conference date: 25-08-2015 Through 29-08-2015",

year = "2015",

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doi = "10.1109/EMBC.2015.7320079",

language = "English",

series = "Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS",

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Cristobal-Huerta, A, Torrado-Carvajal, A, Malpica, N, Luaces, M & Hernandez-Tamames, JA 2015, Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging. in 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015., 7320079, Institute of Electrical and Electronics Engineers Inc., Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2015-November, pp. 7308-7311, 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, 25/08/15. https://doi.org/10.1109/EMBC.2015.7320079

Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging. / Cristobal-Huerta, Alexandra; Torrado-Carvajal, Angel; Malpica, Norberto et al.
2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 7308-7311 7320079 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2015-November).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

TY - GEN

T1 - Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging

AU - Cristobal-Huerta, Alexandra

AU - Torrado-Carvajal, Angel

AU - Malpica, Norberto

AU - Luaces, Maria

AU - Hernandez-Tamames, Juan Antonio

PY - 2015/11/4

Y1 - 2015/11/4

N2 - Cardiovascular disease is one of the leading causes of death worldwide. Epicardial adipose tissue (EAT) has emerged as an independent predictor of high cardiometabolic risk. Cardiovascular MRI has proven to be a feasible and reproducible method to assess EAT quantitatively.

AB - Cardiovascular disease is one of the leading causes of death worldwide. Epicardial adipose tissue (EAT) has emerged as an independent predictor of high cardiometabolic risk. Cardiovascular MRI has proven to be a feasible and reproducible method to assess EAT quantitatively.

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U2 - 10.1109/EMBC.2015.7320079

DO - 10.1109/EMBC.2015.7320079

M3 - Conference proceeding

C2 - 26737979

AN - SCOPUS:84953304434

T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

SP - 7308

EP - 7311

BT - 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015

Y2 - 25 August 2015 through 29 August 2015

ER -

Cristobal-Huerta A, Torrado-Carvajal A, Malpica N, Luaces M, Hernandez-Tamames JA. Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging. In 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 7308-7311. 7320079. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, Vol. 2015-November). doi: 10.1109/EMBC.2015.7320079

Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging

Abstract

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Bibliographical note

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