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Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appendage

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Book cover Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges (STACOM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 11395))

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Abstract

The left atrial appendage (LAA) is a complex and heterogeneous bulge structure of the left atrium (LA). It is known that, in atrial fibrillation (AF) patients, around 70% to 90% of the thrombi are formed there. However, the exact mechanism of the process of thrombus formation and the role of the LAA in that process are not fully understood yet. The main goal of this work is to perform patient-specific haemodynamics simulations of the LA and LAA and jointly analyse the resulting blood flow parameters with morphological descriptors of these structures in relation with the risk of thrombus formation. Some LAA morphological descriptors such as ostium characteristics and pulmonary configuration were found to influence LAA blood flow patterns. These findings improve our knowledge on the required conditions for thrombus formation in the LAA.

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Notes

  1. 1.

    http://www.seg3d.org.

  2. 2.

    http://www.meshlab.net/.

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    http://www.meshmixer.com.

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    https://www.ansys.com/products/fluids/ansys-fluent.

  6. 6.

    https://es.mathworks.com/products/matlab.html.

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Acknowledgments

This work was partially supported by COMPILAAO Retos I+D project (DPI2015-71640-R), funded by the Spanish Government of Economy and Competitiveness.

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Authors and Affiliations

  1. DTIC (Department of Information and Communication Technologies), Universitat Pompeu Fabra, Barcelona, Spain

    Jordi Mill, Andy L. Olivares, Ibai Genua, Alvaro Fernandez, Ainhoa Aguado, Marta Nuñez-Garcia & Oscar Camara

  2. Arrhythmia Unit, Department of Cardiology, Cardiovascular Center, OLV Hospital, Aalst, Belgium

    Etelvino Silva & Tom de Potter

  3. Department of Cardiology, Hospital Clinic de Barcelona, Universitat de Barcelona, Barcelona, Spain

    Xavier Freixa

Authors
  1. Jordi Mill
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  2. Andy L. Olivares
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  3. Etelvino Silva
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  4. Ibai Genua
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  5. Alvaro Fernandez
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  6. Ainhoa Aguado
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  7. Marta Nuñez-Garcia
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  8. Tom de Potter
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  9. Xavier Freixa
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  10. Oscar Camara
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Corresponding author

Correspondence to Oscar Camara .

Editor information

Editors and Affiliations

  1. University of Toronto, Toronto, ON, Canada

    Mihaela Pop

  2. Inria, Epione Group, Sophia-Antipolis, France

    Maxime Sermesant

  3. Auckland University, Auckland, New Zealand

    Jichao Zhao

  4. University of Western Ontario, London, ON, Canada

    Shuo Li

  5. GE Healthcare, Oslo, Norway

    Kristin McLeod

  6. King’s College London, London, UK

    Alistair Young

  7. King’s College London, London, UK

    Kawal Rhode

  8. Siemens Medical Solutions USA, Inc., Princeton, NJ, USA

    Tommaso Mansi

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Mill, J. et al. (2019). Joint Analysis of Personalized In-Silico Haemodynamics and Shape Descriptors of the Left Atrial Appendage. In: Pop, M., et al. Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges. STACOM 2018. Lecture Notes in Computer Science(), vol 11395. Springer, Cham. https://doi.org/10.1007/978-3-030-12029-0_7

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  • DOI: https://doi.org/10.1007/978-3-030-12029-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12028-3

  • Online ISBN: 978-3-030-12029-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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