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Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion

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Clinical Image-Based Procedures. Translational Research in Medical Imaging (CLIP 2016)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9958))

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Abstract

We characterize the performance of an ultrasound+computed tomography image fusion and instrument guidance system on phantoms, animals, and patients. The system is based on a visual tracking approach. Using multi-modality markers, registration is unobtrusive, and standard instruments do not require any calibration. A novel deformation estimation algorithm shows externally-induced tissue displacements in real time.

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Author information

Authors and Affiliations

  1. Clear Guide Medical, Baltimore, MD, 21211, USA

    Ehsan Basafa, Martin Hoßbach & Philipp J. Stolka

Authors
  1. Ehsan Basafa
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  2. Martin Hoßbach
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  3. Philipp J. Stolka
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Corresponding author

Correspondence to Ehsan Basafa .

Editor information

Editors and Affiliations

  1. Children's National Health System, Washington, District of Columbia, USA

    Raj Shekhar

  2. Fraunhofer IGD, Darmstadt, Hessen, Germany

    Stefan Wesarg

  3. ICREA - Universitat Pompeu Fabra, Barcelona, Spain

    Miguel Ángel González Ballester

  4. Fraunhofer IGD, Darmstadt, Hessen, Germany

    Klaus Drechsler

  5. NAIST, Nara, Japan

    Yoshinobu Sato

  6. Fraunhofer IDM@NTU, Singapore, Singapore

    Marius Erdt

  7. Children's National Health System, Washington, District of Columbia, USA

    Marius George Linguraru

  8. Fraunhofer IGD, Darmstadt, Germany

    Cristina Oyarzun Laura

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Basafa, E., Hoßbach, M., Stolka, P.J. (2016). Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion. In: Shekhar, R., et al. Clinical Image-Based Procedures. Translational Research in Medical Imaging. CLIP 2016. Lecture Notes in Computer Science(), vol 9958. Springer, Cham. https://doi.org/10.1007/978-3-319-46472-5_2

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  • DOI: https://doi.org/10.1007/978-3-319-46472-5_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46471-8

  • Online ISBN: 978-3-319-46472-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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