Computational biomechanics for image-guided neurosurgery

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Our results will lead to significant improvements to the efficacy and efficiency of image-guided neurosurgery for brain tumours. Visualisation of the intra-operative configuration of the patient's brain, obtained by sparse intra-operative MRI, merged with high resolution pre-operative imaging data will become possible. In current practice, the neurosurgeon must mentally fuse the information from pre-operative fMRI and DTI by projecting it through the 3D spatial and temporal changes the patient's brain has undergone. We propose to replace this mental fusion with computations based on the biomechanical model that will allow visualisation of the transformed pre-operative data matched to the current shape of the patient's brain.