Non linear transformation field to build moving meshes for patient specific blood flow simulations

Our study propose a method to build patient specific geometric data and boundary conditions for unsteady CFD runs with variable meshes valid over the cardiac cycle. We develop a specific MRI protocol in order to extract the full geometric data at several phases over the cardiac cycle. Hemodynamic boundary conditions were acquired by means of...

MRI-Compatible Endovascular Instruments: Improved Maneuverability during Navigation

Endovascular diagnostics and interventions are performed using long, thin and flexible instruments that are inserted in the blood vessel and manipulated toward a target in the vasculature. This technique has proven to be successful with the millions of patients diagnosed and treated worldwide every year. Though, this technique presents several...

Optimizing a RF Coil for Prostate Imaging at 7 Tesla MRI

Ultra-high ?eld prostate MR imaging (?7T) becomes increasingly difficult due to insufficient radio frequency ?eld excitation penetration. RF coils used at ultra-high ?elds are adapted from lower ?eld strengths but their performance is suboptimal. These coils are designed as near-?eld antennas; however, better signal penetration can be obtained...

Probabilistic tractography for complex fiber orientations with automatic model selection: A tool to study structural connectivity in stroke patients

Stroke is one of the leading causes of both death and disability in the world. Consequently, the processes underlying motor recovery are a hot research topic. Electroencephalography (EEG) and diffusion weighted magnetic resonance imaging (dMRI) are two modalities that can be used to find functional and structural predictors for this motor...

Sparsity promoting algorithms for multi-component magnetic resonance parameter mapping

Magnetic resonance imaging (MRI) is often used to obtain qualitative images of the human brain. Different kinds of tissues can be recognised from the different levels of contrast. Multi-echo spin-echo T 2 MR measurements can be used to obtain a quantitative map of the brain where different tissues or components can be recognised based on a...

Grey Matter Age Prediction as a Biomarker for Risk of Dementia: A Population-based Study

The gap between predicted brain age and chronological age could serve as biomarker for early-stage neurodegeneration and as potentially as a risk indicator for dementia. We assess the utility of this age gap as a risk biomarker for incident dementia in a general elderly population. The brain age is estimated from longitudinal brain magnetic...

Ultra-fast Magnetic Resonance Imaging of intruders sinking into a concentrated suspension

Surprisingly, liquid media of dispersed dry micron-sized particles can generate tremendous impact resistance, can grow solid protrusions when acoustically-vibrated and can cause a range of other peculiar phenomena to objects sinking in their interior, even though their appearance essentially remains ’liquid-like’. These heterogeneous mixtures of...

Deep Learning Techniques for Low-Field MRI

Delft University of Technology (TU Delft), Leiden University Medical Center (LUMC), Pennsylvania State University (PSU) and Mbarara University of Science and Technology (MUST) have an ongoing collaboration to create an affordable, portable and simplified version of the magnetic resonance imaging (MRI) scan for the CURE children’s hospital to...

Sequence optimisation for Magnetic Resonance Fingerprinting

Magnetic Resonance Fingerprinting (MRF) is a relatively new approach for simultaneously estimating multiple quantitative maps in one acquisition. Sequence optimisation for MRF can be a powerful tool in increasing the accuracy an precision of the quantitative results. Multi-component analysis in the MRF framework can distinguish multiple...

Predicting HPV status in oropharyngeal carcinoma using multiparametric MRI and clinical variables

Background: Histopathological examination in the diagnostic workflow of oropharyngeal squamous cell carcinoma (OPSCC) is essential. We aimed to develop a machine learning pipeline to predict human papillomavirus (HPV) status in OPSCC patients based on clinical variables and multiparametric magnetic resonance imaging (MRI). <br/>Methods: In a...

Assessment of Diaphragm Function during Inspiration in Pompe Disease using Static Breath-hold 3D MRI: A mesh model-based study into diaphragm impairment

Pompe disease is a progressive muscular disorder that will affect the respiratory muscles, in particular the diaphragm, thereby seriously limiting the respiratory function. Respiratory function is typically assessed using spirometry. However early stages of diaphragm impairment may not be detected by conventional spirometry measurements due to...

Rotating Frame Relaxation Times for Off-Resonant MRI Pulses

Magnetic Resonance Imaging (MRI) is an important imaging modality, since it can create high-resolution cross-sectional images of the human body. In MRI scanners, the nuclear spin magnetization is excited using radio-frequency pulses. Images are created based on the time-evolution of this magnetization, which is characterized by relaxation times ...