title: Quantitative analysis of a noninvasive stereotactic image registration technique.
abstract: Our group has developed and tested a noninvasive image registration technique that does not require a special imaging study following the application of a head frame or radiological markers on the patient. This registration method involves performing automatic alignment between segmented scalp reconstructions from CT or MRI fitted with are surfaces traced with the Regulus Navigator. This paper will present a quantitative analysis of this technique compared to other stereotactic and image-guided registration techniques. This noninvasive surface alignment technique has been found to be a viable, quick and accurate method of performing image-guided registration.
authors.affiliation: Mayo Clinic, Department of Neurosurgery, Rochester, Minn., USA.
authors.forename: B A
authors.initials: BA
authors.lastname: Kall
authors.forename: S J
authors.initials: SJ
authors.lastname: Goerss
authors.forename: S O
authors.initials: SO
authors.lastname: Stiving
authors.forename: D H
authors.initials: DH
authors.lastname: Davis
authors.forename: P J
authors.initials: PJ
authors.lastname: Kelly
mesh_terms: D000465:Algorithms; D003201:Computers; D005069:Evaluation Studies as Topic; D006801:Humans; D008959:Models, Neurological; D009493:Neurosurgery; D013238:Stereotaxic Techniques / Q000295:instrumentation