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Stereopsis-guided brain shift compensation.

Hai Sun·Karen E Lunn·Hany Farid·Ziji Wu·David W Roberts·Alex Hartov·Keith D Paulsen
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Abstract

Brain deformation models have proven to be a powerful tool in compensating for soft tissue deformation during image-guided neurosurgery. The accuracy of these models can be improved by incorporating intraoperative measurements of brain motion. We have designed and implemented a passive intraoperative stereo vision system capable of estimating the three-dimensional shape of the surgical scene in near real-time. This intraoperative shape is compared with the cortical surface in the co-registered preoperative magnetic resonance (MR) volume for the estimation of the cortical motion resulting from the open cranial surgery. The estimated cortical motion is then used to guide a full brain model, which updates a preoperative MR volume. We have found that the stereo vision system is accurate to within approximately 1 mm. Based on data from two representative clinical cases, we show that stereopsis guidance improves the accuracy of brain shift compensation both at and below the cortical surface.

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AlgorithmsArtificial IntelligenceCerebral CortexComputer SimulationDepth PerceptionFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle AgedModels, BiologicalNeuronavigationPattern Recognition, AutomatedPhotogrammetryReproducibility of ResultsSensitivity and SpecificitySurgery, Computer-AssistedCase ReportsJournal ArticleResearch Support, N.I.H., ExtramuralResearch Support, U.S. Gov't, P.H.S.

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Hai Sun, Karen E Lunn, Hany Farid, Ziji Wu, David W Roberts, Alex Hartov, Keith D Paulsen. 2005. Stereopsis-guided brain shift compensation.. https://doi.org/10.1109/tmi.2005.852075

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