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International Conference on Functional Imaging and Modeling of the Heart

FIMH 2017: Functional Imaging and Modelling of the Heart pp 63–72Cite as

Multi-cycle Reconstruction of Cardiac MRI for the Analysis of Inter-ventricular Septum Motion During Free Breathing

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 10263))

Abstract

Small variations in left-ventricular preload due to respiration produce measurable changes in cardiac function in normal subjects. We show that this mechanism is altered in patients with reduced ejection fraction (EF), hypertrophy, or volume-loaded right ventricle (RV). We propose a multi-dimensional retrospective image reconstruction, based on an adaptive, soft classification of data into respiratory and cardiac phases, to study these effects.

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Author information

Authors and Affiliations

  1. NYU School of Medicine, Center for Biomedical Imaging, New York, USA

    Teodora Chitiboi, Rebecca Ramb, Li Feng & Leon Axel

  2. Nuclear Medicine Ward, Pitié Salpétrière Hospital, Paris, France

    Eve Piekarski

  3. Fraunhofer MEVIS, Bremen, Germany

    Lennart Tautz & Anja Hennemuth

Authors
  1. Teodora Chitiboi
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  2. Rebecca Ramb
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  3. Li Feng
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  4. Eve Piekarski
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  5. Lennart Tautz
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  6. Anja Hennemuth
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  7. Leon Axel
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Corresponding author

Correspondence to Teodora Chitiboi .

Editor information

Editors and Affiliations

  1. University of Toronto, Toronto, Ontario, Canada

    Mihaela Pop

  2. University of Toronto , Toronto, Ontario, Canada

    Graham A Wright

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© 2017 Springer International Publishing AG

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Chitiboi, T. et al. (2017). Multi-cycle Reconstruction of Cardiac MRI for the Analysis of Inter-ventricular Septum Motion During Free Breathing. In: Pop, M., Wright, G. (eds) Functional Imaging and Modelling of the Heart. FIMH 2017. Lecture Notes in Computer Science(), vol 10263. Springer, Cham. https://doi.org/10.1007/978-3-319-59448-4_7

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  • DOI: https://doi.org/10.1007/978-3-319-59448-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59447-7

  • Online ISBN: 978-3-319-59448-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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