[HTML][HTML] Tracking a fast-moving disease: longitudinal markers, monitoring, and clinical trial endpoints in ALS

RH Chipika, E Finegan, S Li Hi Shing… - Frontiers in …, 2019 - frontiersin.org
Amyotrophic lateral sclerosis (ALS) encompasses a heterogeneous group of phenotypes
with different progression rates, varying degree of extra-motor involvement and divergent …

[HTML][HTML] Spinal cord imaging in amyotrophic lateral sclerosis: historical concepts—novel techniques

MM El Mendili, G Querin, P Bede, PF Pradat - Frontiers in neurology, 2019 - frontiersin.org
Amyotrophic lateral sclerosis (ALS) is the most common adult onset motor neuron disease
with no effective disease modifying therapies at present. Spinal cord degeneration is a …

PAM50: Unbiased multimodal template of the brainstem and spinal cord aligned with the ICBM152 space

B De Leener, VS Fonov, DL Collins, V Callot, N Stikov… - Neuroimage, 2018 - Elsevier
Template-based analysis of multi-parametric MRI data of the spinal cord sets the foundation
for standardization and reproducibility, thereby helping the discovery of new biomarkers of …

Automatic segmentation of the spinal cord and spinal canal coupled with vertebral labeling

B De Leener, J Cohen-Adad… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
Quantifying spinal cord (SC) atrophy in neurodegenerative and traumatic diseases brings
important diagnosis and prognosis information for the clinician. We recently developed the …

[HTML][HTML] Virtual brain biopsies in amyotrophic lateral sclerosis: diagnostic classification based on in vivo pathological patterns

P Bede, PM Iyer, E Finegan, T Omer, O Hardiman - NeuroImage: Clinical, 2017 - Elsevier
Background Diagnostic uncertainty in ALS has serious management implications and
delays recruitment into clinical trials. Emerging evidence of presymptomatic disease-burden …

Segmentation of the human spinal cord

B De Leener, M Taso, J Cohen-Adad… - … Resonance Materials in …, 2016 - Springer
Segmenting the spinal cord contour is a necessary step for quantifying spinal cord atrophy in
various diseases. Delineating gray matter (GM) and white matter (WM) is also useful for …

Spinal cord multi‐parametric magnetic resonance imaging for survival prediction in amyotrophic lateral sclerosis

G Querin, MM El Mendili, T Lenglet… - European journal of …, 2017 - Wiley Online Library
Background and purpose Assessing survival is a critical issue in patients with amyotrophic
lateral sclerosis (ALS). Neuroimaging seems to be promising in the assessment of disease …

Spinal cord MRI segmentation techniques and algorithms: A survey

S Garg, SR Bhagyashree - SN Computer Science, 2021 - Springer
Spinal cord tumour is an abnormal growth of cells in and around the spinal cord. Detecting
spinal cord tumours is a very crucial process. Identifying the tumour from MRI is difficult …

Fully automatic 3D segmentation of the thoracolumbar spinal cord and the vertebral canal from T2-weighted MRI using K-means clustering algorithm

S Sabaghian, H Dehghani, SAH Batouli, A Khatibi… - Spinal Cord, 2020 - nature.com
Abstract Study design Method development. Objectives To develop a reliable protocol for
automatic segmentation of Thoracolumbar spinal cord using MRI based on K-means …

Topologically preserving straightening of spinal cord MRI

B De Leener, G Mangeat, S Dupont… - Journal of Magnetic …, 2017 - Wiley Online Library
Purpose To propose a robust and accurate method for straightening magnetic resonance
(MR) images of the spinal cord, based on spinal cord segmentation, that preserves spinal …