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Article
Open AccessFeasibility of in vivo multi-parametric quantitative magnetic resonance imaging of the healthy sciatic nerve with a unified signal readout protocol
Magnetic resonance neurography (MRN) has been used successfully over the years to investigate the peripheral nervous system (PNS) because it allows early detection and precise localisation of neural tissue dam...
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Article
Voxel-level analysis of normalized DSC-PWI time-intensity curves: a potential generalizable approach and its proof of concept in discriminating glioblastoma and metastasis
Standard DSC-PWI analyses are based on concrete parameters and values, but an approach that contemplates all points in the time-intensity curves and all voxels in the region-of-interest may provide improved in...
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Chapter and Conference Paper
Progressive Subsampling for Oversampled Data - Application to Quantitative MRI
We present PROSUB: PROgressive SUBsampling, a deep learning based, automated methodology that subsamples an oversampled data set (e.g. channels of multi-channeled 3D images) with minimal loss of information. W...
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Article
Open AccessRobust imaging habitat computation using voxel-wise radiomics features
Tumor heterogeneity has been postulated as a hallmark of treatment resistance and a cure constraint in cancer patients. Conventional quantitative medical imaging (radiomics) can be extended to computing voxel-...
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Article
Generic acquisition protocol for quantitative MRI of the spinal cord
Quantitative spinal cord (SC) magnetic resonance imaging (MRI) presents many challenges, including a lack of standardized imaging protocols. Here we present a prospectively harmonized quantitative MRI protocol...
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Article
Open AccessAuthor Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
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Article
Open AccessAuthor Correction: Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
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Article
Open AccessOpen-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers
In a companion paper by Cohen-Adad et al. we introduce the spine generic quantitative MRI protocol that provides valuable metrics for assessing spinal cord macrostructural and microstructural integrity. This prot...
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Chapter and Conference Paper
Deep Learning Model Fitting for Diffusion-Relaxometry: A Comparative Study
Quantitative Magnetic Resonance Imaging ( ) model is traditionally performed via non-linear least square (NLLS) estimation. NLLS is slow and its performance can be affected by the presence of different loc...
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Chapter and Conference Paper
Acquiring and Predicting Multidimensional Diffusion (MUDI) Data: An Open Challenge
In magnetic resonance imaging (MRI), the image contrast is the result of the subtle interaction between the physicochemical properties of the imaged living tissue and the parameters used for image acquisition....
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Chapter and Conference Paper
Muti-shell Diffusion MRI Harmonisation and Enhancement Challenge (MUSHAC): Progress and Results
We present a summary of competition results in the multi-shell diffusion and challenge (MUSHAC). MUSHAC is an open competition intended to stimulate the development of computational methods that reduce s...
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Chapter and Conference Paper
Spatial Characterisation of Fibre Response Functions for Spherical Deconvolution in Multiple Sclerosis
based on diffusion-weighted (DW) data has been increasingly used to investigate crucial pathophysiological aspects of several neurological conditions, including multiple sclerosis (MS). The advent of fibre...
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Chapter and Conference Paper
Bayesian Image Quality Transfer
Image quality transfer (IQT) aims to enhance clinical images of relatively low quality by learning and propagating high-quality structural information from expensive or rare data sets. However, the original fr...
