Hurray, my paper on SNR and uncertainties of DTI at 1.5, 3.0 and 7.0 Tesla is accepted!

University Medical Center Utrecht

Graduate Student, Radiology

PhD Student / Promovendus

Radiology

Thesis Title: Characterizing White Matter using 7.0 Tesla MRI

H. Hoogduin

About

Magnetic Resonance Imaging is a powerfull tool to non-invasively image protons (as found in water, fat and most types of human tissue). Using diffusion weighted measurements, we can sensitize the MR image for the diffusion of water. As free water is a very small molecule moving around hindered by large obstacles such as cell walls. In a diffusion measurement, it will act as a sensing probe for tissue microstructure. By measuring diffusion in a direction-sensitive manner (DTI), we can elucidate the underlying structure of the brain. One way to use this is to visualise white matter tracts that connect the brain cortex to the rest of the body.
I am particularly interested in elucidating the microstructure of the brain, in terms of cellular density, cell sizes and anisotropy. One of my goals is to develop a tool that can detect brain tumors, and characterize them based on the microstructural sizes.

Contact Information

Homepage:

http://www.isi.uu.nl/Research/Themes/HFMRI/

Address:

UMC-Utrecht,
7 Tesla Team
Q02.2.300
Post: HP.E.01.132
3508 GA Utrecht

 

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