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A novel super-resolution reconstruction (SRR) framework in magnetic resonance imaging (MRI) is proposed. Its purpose is to produce images of both high resolution and high contrast desirable for image-guided minimally invasive brain surgery. The input data are multiple 2-D multislice inversion recovery MRI scans acquired at orientations with regular angular spacing rotated around a common frequency...
A comparison study is presented of two methods for MRI reconstruction using super-resolution techniques which combine multiple multi-slice stacks into a single high- resolution 3-D image volume. Sampling configurations are compared involving stacks with parallel orientations at different sub-pixel offset locations, and stacks with regularly distributed slice orientations. Results from experiments...
Image-guided neurosurgery depends on both high image contrast and resolution. With pre-operative images, surgeons can precisely navigate using specialized instruments to in-vivo targets of interest such as the globus pallidus or subthalamic regions. Current MR imaging techniques, however, do not offer the full resolution and contrast-to-noise requirements needed by these surgical methods. This paper...
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