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Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography

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Functional Imaging and Modeling of the Heart (FIMH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9126))

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Abstract

Magnetic resonance angiography (MRA) scans provide excellent chamber and venous anatomy. However, they have traditionally been acquired in breath-hold and are not cardiac-gated. This has made it difficult to use them in conjunction with late gadolinium enhancement (LGE) scans for reconstructing fibrosis/scar on 3D left atrium (LA) anatomy. This work proposes an image processing algorithm for segmenting the LA from a novel MRA sequence which is both ECG-gated and respiratory-gated allowing reliable 3D reconstructions with LGE. The algorithm implements image partitioning using discrete Morse theory on digital images. It is evaluated in the context of creating 3D reconstructions of scar/fibrosis with LGE.

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Author information

Authors and Affiliations

  1. Department of Biomedical Engineering, King’s College London, London, UK

    Rashed Karim, Henry Chubb, Shadman Aziz, R. James Housden, Mark O’Neill, Reza Razavi & Kawal Rhode

  2. Department of Cardiology, Guy’s and St. Thomas’ NHS Foundation Trust, London, UK

    Mark O’Neill & Reza Razavi

  3. Department of Cardiology and Pneumology, University of Göttingen, Göttingen, Germany

    Wieland Staab

Authors
  1. Rashed Karim
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  2. Henry Chubb
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  3. Wieland Staab
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  4. Shadman Aziz
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  5. R. James Housden
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  6. Mark O’Neill
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  7. Reza Razavi
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  8. Kawal Rhode
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Corresponding author

Correspondence to Rashed Karim .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Hans van Assen

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Peter Bovendeerd

  3. Maastricht University, Maastricht, The Netherlands

    Tammo Delhaas

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© 2015 Springer International Publishing Switzerland

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Karim, R. et al. (2015). Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_18

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  • DOI: https://doi.org/10.1007/978-3-319-20309-6_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20308-9

  • Online ISBN: 978-3-319-20309-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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