Method for quantitative validation of image based correction for intraoperative brain shift

Lisa M. Bates, Stephan J. Goerss, Richard A. Robb

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

An image-based correction was developed for intra-operative brain shift correction. The method utilizes ultrasound (US) imaging to update the patient specific pre-operative magnetic resonance imaging (MRI) scans, combined with a physics-based dynamic model. To quantitatively validate the imaging and modeling process, a phantom was designed that realistically simulates brain shifting patterns that occur during a brain operation. MRI and US datasets were acquired for several permutations of phantom parameters. Deformation algorithms applied to the phantom data demonstrate the efficacy of this approach to effectively update pre-operatively acquired MRI data during an operation, thus improving the accuracy of navigation.

Original languageEnglish (US)
Pages (from-to)58-69
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3976
StatePublished - Jan 1 2000
EventMedical Imaging 2000: Image Display and Visualization - San Diego, CA, USA
Duration: Feb 13 2000Feb 15 2000

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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