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Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration

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Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges (STACOM 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7085))

Abstract

This paper proposes a system to automatically segment the left ventricle in cardiac MR cine images. Individual frames are segmented using a shortest path algorithm and temporal consistency is enforced through the backward and forward deformation fields of an inverse consistent deformable registration. In addition, a segmentation of the mitral valve plane is obtained from long axis images. This algorithm was applied to 95 datasets as part of the STACOM’11 4D LV Segmentation Challenge. We analyze the results and evaluate the strengths and weaknesses of our system.

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Author information

Authors and Affiliations

  1. Image Analytics and Informatics, Siemens Corporate Research, Princeton, NJ, USA

    Marie-Pierre Jolly, Christoph Guetter, Xiaoguang Lu & Hui Xue

  2. Healthcare Sector, Siemens AG, Erlangen, Germany

    Jens Guehring

Authors
  1. Marie-Pierre Jolly
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  2. Christoph Guetter
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  3. Xiaoguang Lu
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  4. Hui Xue
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  5. Jens Guehring
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Technologies, University of Pompeu Fabra, Center for ComputationalImaging and Simulation Technologies in Biomedicine (CISTIB), Plaça de la Mercè 10-12, 08002, Barcelona, Spain

    Oscar Camara

  2. Machine Learning and Perception, Microsoft Research, 7 J J Thomson Avenue, CB3 0FB, Cambridge, UK

    Ender Konukoglu

  3. Department of Medical Biophysics, Ontario Cancer Institute, princess Margaret Hospital, University of Toronto, Faculty of Medicien, 610 University Avenue, M5G 2M9, Toronto, ON, Canada

    Mihaela Pop

  4. Division of Imaging Sciences, King’s College London, St. Thomas Hospital, Lambeth Wing, SE1 7EH, London, UK

    Kawal Rhode

  5. Research Centre, Ascöepios Team, Inria Sophia Antipolis- Méditerranée, 2004 Route des Lucioles, BP 93, 06902, Sophia Antipolis Cedex, France

    Maxime Sermesant

  6. Auckland Bioengineering Institute, Medical and Health Sciences, University of Auckland, Grafton Campus, Building 502, Auckland, New Zealand

    Alistair Young

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© 2012 Springer-Verlag Berlin Heidelberg

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Jolly, MP., Guetter, C., Lu, X., Xue, H., Guehring, J. (2012). Automatic Segmentation of the Myocardium in Cine MR Images Using Deformable Registration. In: Camara, O., Konukoglu, E., Pop, M., Rhode, K., Sermesant, M., Young, A. (eds) Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges. STACOM 2011. Lecture Notes in Computer Science, vol 7085. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28326-0_10

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  • DOI: https://doi.org/10.1007/978-3-642-28326-0_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28325-3

  • Online ISBN: 978-3-642-28326-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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