title: Biomechanical model as a registration tool for image-guided neurosurgery: evaluation against BSpline registration.
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.
authors.affiliation: Intelligent Systems for Medicine Laboratory, The University of Western Australia, Perth, Australia.
authors.forename: Ahmed
authors.initials: A
authors.lastname: Mostayed
authors.forename: Revanth Reddy
authors.initials: RR
authors.lastname: Garlapati
authors.forename: Grand Roman
authors.initials: GR
authors.lastname: Joldes
authors.forename: Adam
authors.initials: A
authors.lastname: Wittek
authors.forename: Aditi
authors.initials: A
authors.lastname: Roy
authors.forename: Ron
authors.initials: R
authors.lastname: Kikinis
authors.forename: Simon K
authors.initials: SK
authors.lastname: Warfield
authors.forename: Karol
authors.initials: K
authors.lastname: Miller
mesh_terms: D000465:Algorithms; D006801:Humans; D008279:Magnetic Resonance Imaging; D008962:Models, Theoretical; D019635:Neurosurgical Procedures / Q000295:instrumentation / Q000379:methods*; D025321:Surgery, Computer-Assisted / Q000295:instrumentation / Q000379:methods*