The neurophysics group uses biophysical modelling and magnetic resonance imaging to develop techniques to study the structure of the brain on a micrometer scale, i.e. its microstructure. Our work enables subtle changes in microstructure of the living brain to be visualized noninvasively, with applications both in health and disease.
Magnetic resonance imaging (MRI) is a fast, high resolution and very versatile modality to visualize tissue integrity and function, especially well-suited in living tissue due to its noninvasiveness. Various types of MRI have been shown to be quite sensitive changes in tissue structure, but it suffers from a lack of specificity. A central goal of our efforts is to improve the specificity using biophysical modeling. We employ knowledge of e.g. magnetic resonance physics and statistical physics to build biophysical models predicting the MRI signal from various sequences, in particular diffusion weighted MRI. By comparing (e.g. fitting) to high quality MRI data, this approach enables highly specific tissue parameters to be estimated.
Coordinator: Sune Nørhøj Jespersen
A recent paper on fast diffusion kurtosis imaging by CFIN scientists Brian Hansen, Torben Lund, Ryan Sangill and Sune Jespersen was selected as the Editor’s Pick for the November 2016 issue of the journal Magnetic Resonance Imaging.
The journal is providing free access to the paper, and an interview with Brian Hansen and Sune N. Jespersen is published on MRM Highlights,
An audioslide prepared by Brian Hansen to explain the paper accompanies the MRM Editor's pick on the associated Highlights youtube channel,
In a recent publication, we demonstrate that our fast kurtosis technique is able to distinguish healthy and diseased mouse kidneys. Histology identifies fibrosis as the main cause of the difference in kurtosis parameters between the groups. We also propose an optimized protocol for fast kurtosis of human kidneys for clinical use. The paper is due to appear in NMR in Biomedicine and has been selected for the cover of its issue (December 2016).
The cover of NMR in Biomedicine December 2016,
from Kjølby et al NMR Biomed., 29(12), 1709-1719 (2016).