An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy

Santiago Sanz-Estébanez; Javier Royuela-del-Val; Susana Merino-Caviedes; Ana Revilla-Orodea; Teresa Sevilla; Lucilio Cordero-Grande; Marcos Martín-Fernández; Carlos Alberola-López

doi:10.1007/978-3-319-31744-1_17

An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy

Santiago Sanz-Estébanez^*, Javier Royuela-del-Val, Susana Merino-Caviedes, Ana Revilla-Orodea, Teresa Sevilla, Lucilio Cordero-Grande, Marcos Martín-Fernández, Carlos Alberola-López

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

1 Citation (Scopus)

212 Downloads (Pure)

Abstract

Cardiovascular diseases are the leading cause of death globally. Therefore, classification tools play a major role in prevention and treatment of these diseases. Statistical learning theory applied to magnetic resonance imaging has led to the diagnosis of a variety of cardiomyopathies states. We propose a two-stage classification scheme capable of distinguishing between heterogeneous groups of hypertrophic cardiomyopathies and healthy patients.Amultimodal processing pipeline is employed to estimate robust tensorial descriptors of myocardial mechanical properties for both short-axis and long-axis magnetic resonance tagged images using the least absolute deviation method. A homomorphic filtering procedure is used to align the cine segmentations to the tagged sequence and provides 3D tensor information in meaningful areas. Results have shown that the proposed pipeline provides tensorial measurements on which classifiers for the study of hypertrophic cardiomyopathies can be built with acceptable performance even for reduced samples sets.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher	Springer‐Verlag Berlin Heidelberg
Pages	184-195
Number of pages	12
Volume	9656
ISBN (Print)	9783319317434
DOIs	https://doi.org/10.1007/978-3-319-31744-1_17
Publication status	Published - 25 Mar 2016
Event	4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016 - Granada, Spain Duration: 20 Apr 2016 → 22 Apr 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9656
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Conference

Conference	4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016
Country/Territory	Spain
City	Granada
Period	20/04/2016 → 22/04/2016

Keywords

Fuzzy clustering
Harmonic phase
Homomorphic filtering
Hypertrophic cardiomyopathy
Least absolute deviation
Magnetic resonance tagging
Support vector machines

UN SDGs

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

Access to Document

10.1007/978-3-319-31744-1_17

An Automated Tensorial Classification_SANZ-ESTEBANEZ_Firstonline25March2016_GREEN AAMAccepted author manuscript, 391 KB

Cite this

Sanz-Estébanez, S., Royuela-del-Val, J., Merino-Caviedes, S., Revilla-Orodea, A., Sevilla, T., Cordero-Grande, L., Martín-Fernández, M., & Alberola-López, C. (2016). An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9656, pp. 184-195). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9656). Springer‐Verlag Berlin Heidelberg. https://doi.org/10.1007/978-3-319-31744-1_17

Sanz-Estébanez, Santiago ; Royuela-del-Val, Javier ; Merino-Caviedes, Susana et al. / An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9656 Springer‐Verlag Berlin Heidelberg, 2016. pp. 184-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Sanz-Estébanez, S, Royuela-del-Val, J, Merino-Caviedes, S, Revilla-Orodea, A, Sevilla, T, Cordero-Grande, L, Martín-Fernández, M & Alberola-López, C 2016, An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 9656, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9656, Springer‐Verlag Berlin Heidelberg, pp. 184-195, 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016, Granada, Spain, 20/04/2016. https://doi.org/10.1007/978-3-319-31744-1_17

An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy. / Sanz-Estébanez, Santiago; Royuela-del-Val, Javier; Merino-Caviedes, Susana et al.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9656 Springer‐Verlag Berlin Heidelberg, 2016. p. 184-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9656).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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AU - Royuela-del-Val, Javier

AU - Merino-Caviedes, Susana

AU - Revilla-Orodea, Ana

AU - Sevilla, Teresa

AU - Cordero-Grande, Lucilio

AU - Martín-Fernández, Marcos

AU - Alberola-López, Carlos

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Sanz-Estébanez S, Royuela-del-Val J, Merino-Caviedes S, Revilla-Orodea A, Sevilla T, Cordero-Grande L et al. An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 9656. Springer‐Verlag Berlin Heidelberg. 2016. p. 184-195. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-31744-1_17

An automated tensorial classification procedure for left ventricular hypertrophic cardiomyopathy

Abstract

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Keywords

UN SDGs

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