Keywords: IBBM: image acquisition
Recent advances in MRI enable the quantification of microstructural properties of cerebral matter. These biological properties deepen our understanding of the brain in both health and disease and could assess the early onset of neurological disorders. Despite its potential, current applications are still limited by long acquisition times and low data quality. Doctoral research focuses on addressing these limitations by developing novel; accelerated acquisition schemes for quantitative MR imaging of the brain. Work evolves around developing techniques that effectively reduce scan times without compromising data quality and still capturing the most important aspects of cerebral matter.
Figure 1: By combining accelerated acquisitions, such as MR Fingerprinting (Ma et al., Nature, 2013), with machine learning techniques, it is possible to simultaneously map multiple parameters and compute tissue labels from a single, fast scan (Gómez et al., MICCAI, 2016).
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Please contact Pedro Gómez for available student projects within this research project.