Evaluating the effects of white matter multiple sclerosis lesions on the volume estimation of 6 brain tissue segmentation methods

S Valverde, A Oliver, Y Díez… - American Journal …, 2015 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The accuracy of automatic tissue segmentation methods
can be affected by the presence of hypointense white matter lesions during the tissue …

Reducing the impact of white matter lesions on automated measures of brain gray and white matter volumes

DT Chard, JS Jackson, DH Miller… - Journal of magnetic …, 2010 - Wiley Online Library
Purpose: To develop an automated lesion‐filling technique (LEAP; LEsion Automated
Preprocessing) that would reduce lesion‐associated brain tissue segmentation bias (which …

[HTML][HTML] A white matter lesion-filling approach to improve brain tissue volume measurements

S Valverde, A Oliver, X Lladó - NeuroImage: Clinical, 2014 - Elsevier
Multiple sclerosis white matter (WM) lesions can affect brain tissue volume measurements of
voxel-wise segmentation methods if these lesions are included in the segmentation process …

Quantitative analysis of MRI signal abnormalities of brain white matter with high reproducibility and accuracy

X Wei, SK Warfield, KH Zou, Y Wu, X Li… - Journal of Magnetic …, 2002 - Wiley Online Library
Purpose To assess the reproducibility and accuracy compared to radiologists of three
automated segmentation pipelines for quantitative magnetic resonance imaging (MRI) …

[HTML][HTML] Automatic segmentation and volumetry of multiple sclerosis brain lesions from MR images

S Jain, DM Sima, A Ribbens, M Cambron… - NeuroImage: Clinical, 2015 - Elsevier
The location and extent of white matter lesions on magnetic resonance imaging (MRI) are
important criteria for diagnosis, follow-up and prognosis of multiple sclerosis (MS). Clinical …

Lesion filling effect in regional brain volume estimations: a study in multiple sclerosis patients with low lesion load

D Pareto, J Sastre-Garriga, FX Aymerich, C Auger… - Neuroradiology, 2016 - Springer
Introduction Regional brain volume estimation in multiple sclerosis (MS) patients is prone to
error due to white matter lesions being erroneously segmented as grey matter. The Lesion …

Segmentation of brain magnetic resonance images for measurement of gray matter atrophy in multiple sclerosis patients

K Nakamura, E Fisher - Neuroimage, 2009 - Elsevier
Multiple sclerosis (MS) affects both white matter and gray matter (GM). Measurement of GM
volumes is a particularly useful method to estimate the total extent of GM tissue damage …

The effect of hypointense white matter lesions on automated gray matter segmentation in multiple sclerosis

R Gelineau‐Morel, V Tomassini… - Human brain …, 2012 - Wiley Online Library
Previous imaging studies assessing the relationship between white matter (WM) damage
and matter (GM) atrophy have raised the concern that Multiple Sclerosis (MS) WM lesions …

A toolbox for multiple sclerosis lesion segmentation

E Roura, A Oliver, M Cabezas, S Valverde, D Pareto… - Neuroradiology, 2015 - Springer
Introduction Lesion segmentation plays an important role in the diagnosis and follow-up of
multiple sclerosis (MS). This task is very time-consuming and subject to intra-and inter-rater …

[HTML][HTML] A fully automated pipeline for brain structure segmentation in multiple sclerosis

S González-Villà, A Oliver, Y Huo, X Lladó… - NeuroImage: Clinical, 2020 - Elsevier
Accurate volume measurements of the brain structures are important for treatment
evaluation and disease follow-up in multiple sclerosis (MS) patients. With the aim of …