Annals of Biomedical Engineering

, Volume 41, Issue 11, pp 2409–2425

Biomechanical Model as a Registration Tool for Image-Guided Neurosurgery: Evaluation Against BSpline Registration

  • Ahmed Mostayed
  • Revanth Reddy Garlapati
  • Grand Roman Joldes
  • Adam Wittek
  • Aditi Roy
  • Ron Kikinis
  • Simon K. Warfield
  • Karol Miller
Article

DOI: 10.1007/s10439-013-0838-y

Cite this article as:
Mostayed, A., Garlapati, R.R., Joldes, G.R. et al. Ann Biomed Eng (2013) 41: 2409. doi:10.1007/s10439-013-0838-y

Abstract

In this paper we evaluate the accuracy of warping of neuro-images using brain deformation predicted by means of a patient-specific biomechanical model against registration using a BSpline-based free form deformation algorithm. Unlike the BSpline algorithm, biomechanics-based registration does not require an intra-operative MR image which is very expensive and cumbersome to acquire. Only sparse intra-operative data on the brain surface is sufficient to compute deformation for the whole brain. In this contribution the deformation fields obtained from both methods are qualitatively compared and overlaps of Canny edges extracted from the images are examined. We define an edge based Hausdorff distance metric to quantitatively evaluate the accuracy of registration for these two algorithms. The qualitative and quantitative evaluations indicate that our biomechanics-based registration algorithm, despite using much less input data, has at least as high registration accuracy as that of the BSpline algorithm.

Keywords

BrainNon-rigid registrationIntra-operative MRIBiomechanicsEdge detectionHausdorff distanceCerebral gliomas

Copyright information

© Biomedical Engineering Society 2013

Authors and Affiliations

  • Ahmed Mostayed
    • 1
  • Revanth Reddy Garlapati
    • 1
  • Grand Roman Joldes
    • 1
  • Adam Wittek
    • 1
  • Aditi Roy
    • 1
  • Ron Kikinis
    • 2
  • Simon K. Warfield
    • 3
  • Karol Miller
    • 1
    • 4
  1. 1.Intelligent Systems for Medicine LaboratoryThe University of Western AustraliaPerthAustralia
  2. 2.Surgical Planning Laboratory, Brigham & Women’s HospitalHarvard Medical SchoolBostonUSA
  3. 3.Computational Radiology Laboratory, Children’s HospitalHarvard Medical SchoolBostonUSA
  4. 4.Institute of Mechanics and Advanced Materials, Cardiff School of EngineeringCardiff UniversityWalesUK