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Intra-operative Update of Neuro-images: Comparison of Performance of Image Warping Using Patient-Specific Biomechanical Model and BSpline Image Registration

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Computational Biomechanics for Medicine

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Abstract

This paper compares the warping of neuro-images using brain deformation predicted by means of patient-specific biomechanical model with the neuro-image registration using BSpline-based free form deformation algorithm. Deformation fields obtained from both algorithms are qualitatively compared and overlaps of edges extracted from the images are examined. Finally, an edge-based Hausdorff distance metric is defined to quantitatively evaluate the accuracy of registration for these two algorithms. From the results it is concluded that the patient-specific biomechanical model ensures higher registration accuracy than the BSpline registration algorithm.

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Author information

Authors and Affiliations

  1. Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Australia

    Ahmed Mostayed, Revanth Reddy Garlapati, Grand Roman Joldes, Adam Wittek & Karol Miller

  2. Surgical Planning Laboratory, Brigham & Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Ron Kikinis

  3. Computational Radiology Laboratory, Children’s Hospital, Harvard Medical School, Boston, MA, USA

    Simon K. Warfield

  4. Institute of Mechanics and Advanced Materials, Cardiff School of Engineering, Cardiff University, Wales, UK

    Karol Miller

Authors
  1. Ahmed Mostayed
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  2. Revanth Reddy Garlapati
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  3. Grand Roman Joldes
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  4. Adam Wittek
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  5. Ron Kikinis
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  6. Simon K. Warfield
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  7. Karol Miller
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Corresponding author

Correspondence to Ahmed Mostayed .

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Editors and Affiliations

  1. School of Mechanical & Chem. Engineering, Intelligent Systems for Medicine Lab., The University of Western Australia, Stirling Highway 35, Crawley-Perth, 6009, West Australia, Australia

    Adam Wittek

  2. School of Mechanical & Chem. Engineering, The University of Western Australia, Stirling Highway 35, Crawley-Perth, 6009, West Australia, Australia

    Karol Miller

  3. , Auckland Bioengineering Institute, The University of Auckland, Symonds Street 70, Auckland, 1010, New Zealand

    Poul M.F. Nielsen

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Mostayed, A. et al. (2013). Intra-operative Update of Neuro-images: Comparison of Performance of Image Warping Using Patient-Specific Biomechanical Model and BSpline Image Registration. In: Wittek, A., Miller, K., Nielsen, P. (eds) Computational Biomechanics for Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6351-1_12

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  • DOI: https://doi.org/10.1007/978-1-4614-6351-1_12

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-6350-4

  • Online ISBN: 978-1-4614-6351-1

  • eBook Packages: EngineeringEngineering (R0)

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