Siawoosh Mohammadi: “Computational MRI: from morphometry to in-vivo histology”
CiNet 1F 大会議室
Understanding the mechanisms of normal and diseased human brain crucially depends on reliable knowledge of its anatomical microstructure.
Even small changes in the microstructure can cause debilitating diseases. Until now, this composition of microstructure could only be determined using invasive methods such as ex vivo histology stains for myelin or axon density. This dependence on invasive methods limits neuroscience, clinical research, and diagnosis.
Here we will introduce and discuss novel non-invasive magnetic resonance imaging (MRI) methods that aim to characterize the detailed microstructure of brain tissue henceforth named in vivo histology using MRI. In vivo histology poses several challenges ranging from requiring very high spatial resolution, over robustness against artifacts, to specific biophysical models and robust validation.
This presentation provides an interdisciplinary view on how the technical challenges of in vivo histology can be approached by principled post-processing methods, improved MRI acquisition, multi- contrast acquisitions, and biophysical tissue contrast models. In addition to the technical aspects, applications will be discussed, including cortical myelin mapping and aging.