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International Conference on Medical Image Computing and Computer-Assisted Intervention

MICCAI 2012: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 pp 42–49Cite as

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Optimization of Acquisition Geometry for Intra-operative Tomographic Imaging

Optimization of Acquisition Geometry for Intra-operative Tomographic Imaging

  • Jakob Vogel19,
  • Tobias Reichl19,
  • José Gardiazabal19,
  • Nassir Navab19 &
  • …
  • Tobias Lasser19,20 
  • Conference paper
  • 4168 Accesses

  • 2 Citations

Part of the Lecture Notes in Computer Science book series (LNIP,volume 7512)

Abstract

Acquisition geometries for tomographic reconstruction are usually densely sampled in order to keep the underlying linear system used in iterative reconstruction as well–posed as possible. While this objective is easily enforced in imaging systems with gantries, this issue is more critical for intra–operative setups using freehand–guided data sensing. This paper investigates an incremental method to monitor the numerical condition of the system based on the singular value decomposition of the system matrix, and presents an approach to find optimal detector positions via a randomized optimization scheme. The feasibility of this approach is demonstrated using simulations of an intra–operative functional imaging setup and actual robot–controlled phantom experiments.

Keywords

  • Iterative Reconstruction
  • System Matrix
  • Tomographic Reconstruction
  • Actual Robot
  • Acquisition Geometry

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Author information

Authors and Affiliations

  1. Chair for Computer Aided Medical Procedures (CAMP), Technische Universität München, Germany

    Jakob Vogel, Tobias Reichl, José Gardiazabal, Nassir Navab & Tobias Lasser

  2. Institute for Biomathematics and Biometry, HelmholtzZentrum München, Germany

    Tobias Lasser

Authors
  1. Jakob Vogel
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  2. Tobias Reichl
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  3. José Gardiazabal
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  4. Nassir Navab
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  5. Tobias Lasser
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Editor information

Editors and Affiliations

  1. Project Team Asclepios, Inria Sophia Antipolis, 06902, Sophia-Antipolis, France

    Nicholas Ayache & Hervé Delingette & 

  2. MIT, CSAIL, 02139, Cambridge, MA, USA

    Polina Golland

  3. Information and Communication Headquarters, Nagoya University, 464-8603, Nagoya, Japan

    Kensaku Mori

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Vogel, J., Reichl, T., Gardiazabal, J., Navab, N., Lasser, T. (2012). Optimization of Acquisition Geometry for Intra-operative Tomographic Imaging. In: Ayache, N., Delingette, H., Golland, P., Mori, K. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. MICCAI 2012. Lecture Notes in Computer Science, vol 7512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33454-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-33454-2_6

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  • Print ISBN: 978-3-642-33453-5

  • Online ISBN: 978-3-642-33454-2

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