A5025862474- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Advanced Neuroimaging Techniques and Applications
- Drug Solubulity and Delivery Systems
- Medical Imaging Techniques and Applications
- Sparse and Compressive Sensing Techniques
- Probiotics and Fermented Foods
- Proteins in Food Systems
- Lanthanide and Transition Metal Complexes
- Cerebrovascular and Carotid Artery Diseases
University of Antwerp
2016-2024
iMinds
2017
Purpose Since Diffusion Weighted Imaging ( DWI ) data acquisition and processing are not standardized, substantial differences in derived measures such as Apparent Coefficient ADC may arise which related to the or MRI method, but sample under study. Quality assurance using a standardized test object, phantom, is key factor standardizing across scanners. Methods Current diffusion phantoms either complex use, available larger quantities, contain substances unwanted clinical environment,...
Arterial spin labeling (ASL) is a promising, non-invasive perfusion magnetic resonance imaging technique for quantifying cerebral blood flow (CBF). Unfortunately, ASL suffers from an inherently low signal-to-noise ratio (SNR) and spatial resolution, undermining its potential. Increasing resolution without significantly sacrificing SNR or scan time represents critical challenge towards routine clinical use. In this work, we propose model-based super-resolution reconstruction (SRR) method with...
Purpose To determine whether sacrificing part of the scan time pseudo‐continuous arterial spin labeling (PCASL) for measurement efficiency and blood is beneficial in terms CBF quantification reliability. Methods In a simulation framework, 5‐minute protocols with different divisions between PCASL data acquisition supporting measurements were evaluated estimation variability across both noise ground truth parameter realizations taken from general population distribution. The entire experiment...
Multi‐post‐labeling‐delay pseudo‐continuous arterial spin labeling (multi‐PLD PCASL) allows for absolute quantification of the cerebral blood flow (CBF) as well transit time (ATT). Estimating these perfusion parameters from multi‐PLD PCASL data is a non‐linear inverse problem, which commonly tackled by fitting single‐compartment model (SCM) PCASL, with CBF and ATT free parameters. The longitudinal relaxation tissue T 1 t an important parameter in this model, it governs decay signal entirely...
Quantification of the spin-lattice relaxation time, T<sub>1</sub>, tissues is important for characterization in clinical magnetic resonance imaging (MRI). In T<sub>1</sub> mapping, values are estimated from a set T<sub>1</sub>-weighted MRI images. Due to limited spatial resolution images, one voxel might consist two tissues, causing partial volume effects (PVE). conventional mono-exponential estimation, these PVE result systematic errors map. To account PVE, single-voxel bi-exponential...