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International MICCAI Workshop on Computational and Clinical Challenges in Abdominal Imaging

ABD-MICCAI 2014: Abdominal Imaging. Computational and Clinical Applications pp 84–93Cite as

Automated Navigator Tracker Placement for MRI Liver Scans

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8676))

Abstract

We present a new method for automated placement of a navigator tracker for MRI liver scans. The tracker is used for the navigator echo sequence. It localizes the region acquiring the MR signal to monitor respiratory motion. Accurate placement of the tracker at the boundary between the lung and liver while observing scout images is a complicated task for operators, adversely affecting their workflow. Our proposed method uses ensemble-based classifiers to detect pixels and a right landmark on the upper edge of the liver, following identification of the area containing the edge pixels in the superior/inferior direction. The navigator tracker location is computed from the peak location of the upward convex shape formed by the edge pixels after fitting to a quadratic function. Our method placed the navigator tracker with a mean error of 6.79 mm for the desired location in 126 volunteers. A computational time was approximately 3 s.

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Author information

Authors and Affiliations

  1. MR Engineering, GE Healthcare Japan, Hino, Tokyo, Japan

    Takao Goto

  2. Department of Information Sciences, Faculty of Engineering, Utsunomiya University, Tochigi, Japan

    Takao Goto & Satoshi Ito

Authors
  1. Takao Goto
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  2. Satoshi Ito
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Corresponding author

Correspondence to Takao Goto .

Editor information

Editors and Affiliations

  1. 3D Imaging Research ,Dept of Radiology, Harvard Medical School , Massachusetts General Hospital, Boston, Massachusetts, USA

    Hiroyuki Yoshida

  2. 3D Imaging Research, Dept of Radiology, Harvard Medical School , MA General Hospital, Boston, Massachusetts, USA

    Janne J. Näppi

  3. Department of Radiology, Harvard Medical School , MA General Hospital, Boston, Massachusetts, USA

    Sanjay Saini

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© 2014 Springer International Publishing Switzerland

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Goto, T., Ito, S. (2014). Automated Navigator Tracker Placement for MRI Liver Scans. In: Yoshida, H., Näppi, J., Saini, S. (eds) Abdominal Imaging. Computational and Clinical Applications. ABD-MICCAI 2014. Lecture Notes in Computer Science(), vol 8676. Springer, Cham. https://doi.org/10.1007/978-3-319-13692-9_8

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  • DOI: https://doi.org/10.1007/978-3-319-13692-9_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13691-2

  • Online ISBN: 978-3-319-13692-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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