Literature DB >> 14745220

A noncontacting 3-D digitizer for use in image-guided neurosurgery.

Hai Sun1, Hany Farid, David W Roberts, Kyle Rick, Alex Hartov, Keith D Paulsen.   

Abstract

Current neuronavigational systems face two primary challenges: (1) automatic and robust registration between preoperative images and the operating room space, and (2) compensation for brain deformations that compromise the accuracy of the initial registration. To contend with these difficulties, we firstly estimate the three-dimensional (3-D) structure of the cortical surface using a noncontacting 3-D digitizer. This 3-D structure is then used to establish the initial registration, and to update the preoperative MR volume as the brain deforms. We show that this approach improves the accuracy of registration in a phantom study, and demonstrate the ability to capture cortical motion in six clinical cases. Copyright 2003 S. Karger AG, Basel

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Year:  2003        PMID: 14745220     DOI: 10.1159/000075171

Source DB:  PubMed          Journal:  Stereotact Funct Neurosurg        ISSN: 1011-6125            Impact factor:   1.875


  1 in total

1.  Android application for determining surgical variables in brain-tumor resection procedures.

Authors:  Rohan C Vijayan; Reid C Thompson; Lola B Chambless; Peter J Morone; Le He; Logan W Clements; Rebekah H Griesenauer; Hakmook Kang; Michael I Miga
Journal:  J Med Imaging (Bellingham)       Date:  2017-03-02
  1 in total

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