Postdoc in magnetic resonance elastography in the brain (KTH Royal Institute of Technology)

Wednesday 17th March 2021

Closing Date: 14 April 2021

Magnetic resonance elastography (MRE) in the brain is a technique of magnetic resonance imaging (MRI) in which mechanical properties of the brain tissue are estimated non-invasively. Currently, MRE reconstruction is challenging, especially for young people. Preliminary studies have shown that artificial intelligence (AI) is promising for improving MRE reconstruction. In this project, we aim at characterizing the mechanical properties of the brain through MRE in people between 9-15 years old and at correlating them with risk factors for developing anxiety disorders. Thus, the main tasks of the candidate will be:

a) Participate in the optimization, acquisition, and processing of images of the subjects in the study.
b) Develop novel AI-based MRE reconstruction methods for increasing both accuracy and computational efficiency aiming at our target population.
c) Perform correlation analyses between mechanics, predictors of anxiety, and brain connectivity measurements estimated from diffusion MRI and resting-state functional MRI.
d) Report the results in the form of scientific manuscripts.

This project is a collaboration between Associate Professors Rodrigo Moreno ( from the Division of Biomedical Imaging at KTH and Armita Golkar ( from the Department of Psychology at Stockholm University and Karolinska Institute.

The candidate must have a strong background in at least one of the following areas: magnetic resonance elastography, neuroimaging, group-level statistical analysis of medical images,artificial intelligence/machine learning methods applied to medical images, or brain connectivity analysis.
Proficiency in English orally and in writing is required to present and publish research results.

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Organization KTH Royal Institute of Technology
Location Stockholm
Title Postdoc in magnetic resonance elastography in the brain
Email Address