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A Fast and Noise-Robust Method for Computation of Intravascular Pressure Difference Maps from 4D PC-MRI Data

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Book cover Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (STACOM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7746))

Abstract

Noninvasive blood flow measurements by 4D flow-sensitive MRI can be used to compute the intravascular distribution of blood pressure. In this work, we present an efficient algorithm for this task, based on the Navier-Stokes equations including zero-divergence condition for the velocity field. Its accuracy and robustness is investigated on two different CFD-based software phantoms. The method has been integrated into research software for analysis of clinical 4D flow measurements, and is tested on six patients with aortic coarctation. The pressure drop across the stenosis is quantified and coincides well with published results from a previously validated solution algorithm.

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Author information

Authors and Affiliations

  1. Fraunhofer MEVIS, Bremen, Germany

    Sebastian Meier, Anja Hennemuth, Johann Drexl & Tobias Preusser

  2. Department of Medical Physics, University of Freiburg, Germany

    Jelena Bock & Bernd Jung

  3. School of Engineering and Science, Jacobs University, Bremen, Germany

    Tobias Preusser

Authors
  1. Sebastian Meier
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  2. Anja Hennemuth
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  3. Johann Drexl
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  4. Jelena Bock
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  5. Bernd Jung
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  6. Tobias Preusser
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Editor information

Editors and Affiliations

  1. Department of Information and Communication, Universitat Pompeu Fabra, Roc Boronat 138, 08018, Barcelona, Spain

    Oscar Camara

  2. Siemens Corporate Research, 755 College Road East, 08540, Princeton, NJ, USA

    Tommaso Mansi

  3. Sunnybrook Health Science Centre, Department of Medical Biophsics, University of Toronto, 2075 Bayview Avenue, M4N 3M5, Toronto, ON, Canada

    Mihaela Pop

  4. School of Medicine, Department of Medical Engineering and Physics, King’s College Hospital, Faraday Building, SE5 9RS, Lonon, UK

    Kawal Rhode

  5. INRIA Sophia Antipolis, Asclepios Research Project, 2004 Route des Lucioles, BP 03, 06902, Sophia Antipolis Cedex, France

    Maxime Sermesant

  6. Faculty of Medical and Halth Sciences, Department of Anatomy with Radiology, University of Auckland, Grafton Campus, Building 502, Auckland, New Zealand

    Alistair Young

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Meier, S., Hennemuth, A., Drexl, J., Bock, J., Jung, B., Preusser, T. (2013). A Fast and Noise-Robust Method for Computation of Intravascular Pressure Difference Maps from 4D PC-MRI Data. In: Camara, O., Mansi, T., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2012. Lecture Notes in Computer Science, vol 7746. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36961-2_25

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  • DOI: https://doi.org/10.1007/978-3-642-36961-2_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36960-5

  • Online ISBN: 978-3-642-36961-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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