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Adapting medical imaging protocols to the individual patient has the potential to improve the information content and enhance the detection of subtle pathologies. We propose a framework for automated patient adaptive scanning in magnetic resonance imaging (MRI) based on a pseudo-real-time imaging pipeline. Using adaptive scanning, improved tissue contrast is demonstrated for an inversion recovery...
With recent advances in the field, magnetic resonance imaging (MRI) has become a powerful quantitative imaging modality for the study of neurological disorders. The quantitative power of MRI is significantly enhanced with multi-contrast and high-resolution techniques. However, those techniques generate large volumes of data which, combined with the sophisticated state-of-the-art image analysis methods,...
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