Biomedical modelling of the brain network using MRI

Maria del Carmen Moreno Genis: Development of neuroimaging tool for clinical assessment of microstructural changes in the brain network of Stroke and TIA patients.

Stroke and Transient Ischemic Attack (TIA) are cerebrovascular diseases caused by obstructions of the blood flow, depriving nutrients like oxygen and glucose to brain microstructures. Clinical manifestations after stroke, such as motor and functional deficits, have been studying; however, symptoms like fatigue or reduced attention span, present on chronic stroke and TIA, have barely been explored.

 

Today clinical Magnetic Resonance Imaging (MR)I used in stroke is focused on identifying lesions and their changes but do not really link these as a possible indicator of impairment of connections in the brain network. Therefore, my project aims to explore novel clinical MRI techniques, such as microstructure imaging based on diffusion MRI and quantitative MRI, to reveal new insights into microstructure features (i.e. cell and axon sizes as well as their densities and general architecture) that might underline why chronic stroke and TIA patients experience deficits like fatigue.

 

The project is cross-disciplinary bridging biomedical imaging and medical. Thus, enable a synergistic communication with the patient diagnosis in center to design novel MRI protocols that reflect the information medical doctors need. For the project we will recruit subjects to collect the MRI data and analyzed. The subject will be divided into 3 groups: chronic stroke patients, TIA patients, and healthy controls for comparisons.

 

As result, it is expected to obtain a new clinical neuroimaging tool, which may guide the clinical doctor in identifying patients with a need of interventions for fatigue and/or cognitive dysfunction for a better stroke/TIA recovery. 

 

 

Figure 1:  

A 3-dimensional visualization of normal brain white matter tracts generated by tractography analysis from diffusion tensor imagingin (DTI). Image from paper “Brain Imaging Changes Associated With Risk Factors … “, Friedman, J.I et. Al. (2014).

PhD Project

By: Maria del Carmen Moreno Genis

Section: Visual Computing

Principal supervisor: Tim Bjørn Dyrby

Co-supervisor: Koen Van Leemput, Kasper Winther Andersen, Hanne Christensen

Project title: Biomedical modelling of the brain network using MRI

Term: 01/09/2018 → 31/08/2022

Contact

Maria del Carmen Moreno Genis
PhD student
DTU Compute

Contact

Tim Bjørn Dyrby
Associate Professor
DTU Compute
+45 45 25 34 24