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The Effect of Temporal Variations in Myocardial Perfusion on Diffusion Tensor Measurements

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Functional Imaging and Modeling of the Heart (FIMH 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13958))

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Abstract

The aim of this study is to investigate the impact of velocity fluctuations on the perfusion signal and tensor parameters in diffusion tensor cardiovascular magnetic resonance (DT-CMR) using numerical simulations. A sinusoidal velocity function with increasing amplitude and frequency and a physiological velocity function have been considered. Both velocity functions have been analyzed using two mean inter-capillary velocity distributions with varying levels of dispersion. The results of the perfusion simulations, along with previous diffusion results, have been utilized to analyse the impact of perfusion on the diffusion tensor. The findings indicated that MCSE effectively compensated the rapid velocity changes considered in the study, while PGSE was sensitive to temporal changes in velocity. STEAM was found to be more sensitive to variations in the mean-intercapillary dispersion rather than to temporal velocity fluctuations. These simulation results provide insights regarding the potential of dispersed perfusion velocity fluctuations to affect the DT-CMR signal.

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Acknowledgments

This work was funded by British Heart Foundation Grants RE/13/4/30184 and RG/19/1/34160.

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Authors and Affiliations

  1. Department of Aeronautics, Imperial College London, London, SW7 2AZ, UK

    Ignasi Alemany & Denis J. Doorly

  2. Cardiovascular Magnetic Resonance Unit, Royal Brompton Hospital, London, SW3 6NP, UK

    Ignasi Alemany, Pedro F. Ferreira, Sonia Nielles-Vallespin & Andrew D. Scott

  3. National Heart and Lung Institute, Imperial College of London, London, SW3 6LY, UK

    Pedro F. Ferreira, Sonia Nielles-Vallespin & Andrew D. Scott

Authors
  1. Ignasi Alemany
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  2. Pedro F. Ferreira
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  3. Sonia Nielles-Vallespin
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  4. Andrew D. Scott
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  5. Denis J. Doorly
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Corresponding author

Correspondence to Ignasi Alemany .

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Editors and Affiliations

  1. CREATIS, INSA-Lyon, University of Lyon, Lyon, France

    Olivier Bernard

  2. CREATIS, CNRS, University of Lyon, Lyon, France

    Patrick Clarysse

  3. CREATIS, IUF, University of Lyon, Lyon, France

    Nicolas Duchateau

  4. TIMC, Savoie Mont Blanc University, Chambéry, France

    Jacques Ohayon

  5. CREATIS, Jean Monnet University, Saint-Etienne, France

    Magalie Viallon

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Alemany, I., Ferreira, P.F., Nielles-Vallespin, S., Scott, A.D., Doorly, D.J. (2023). The Effect of Temporal Variations in Myocardial Perfusion on Diffusion Tensor Measurements. In: Bernard, O., Clarysse, P., Duchateau, N., Ohayon, J., Viallon, M. (eds) Functional Imaging and Modeling of the Heart. FIMH 2023. Lecture Notes in Computer Science, vol 13958. Springer, Cham. https://doi.org/10.1007/978-3-031-35302-4_6

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  • DOI: https://doi.org/10.1007/978-3-031-35302-4_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35301-7

  • Online ISBN: 978-3-031-35302-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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