Search results for: Benjamin De Leener

Items from 1 to 13 out of 13 results

article

Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis

Gabriel Mangeat, Russell Ouellette, Maxime Wabartha, Benjamin De Leener, more

Journal of Neuroimaging > 30 > 5 > 674 - 682

BACKGROUND AND PURPOSE Hereditary diffuse leukoencephalopathy with spheroids (HDLS) and multiple sclerosis (MS) are demyelinating and neurodegenerative disorders that can be hard to distinguish clinically and radiologically. HDLS is a rare disorder compared to MS, which has led to occurrent misdiagnosis of HDLS as MS. That is problematic since their prognosis and treatment differ. Both disorders...

article

Automatic spinal cord localization, robust to MRI contrasts using global curve optimization

Charley Gros, Benjamin De Leener, Sara M. Dupont, Allan R. Martin, more

Medical Image Analysis > 2018 > 44 > C > 215-227

During the last two decades, MRI has been increasingly used for providing valuable quantitative information about spinal cord morphometry, such as quantification of the spinal cord atrophy in various diseases. However, despite the significant improvement of MR sequences adapted to the spinal cord, automatic image processing tools for spinal cord MRI data are not yet as developed as for the brain....

article

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

Benjamin De Leener, Vladimir S. Fonov, D. Louis Collins, Virginie Callot, more

NeuroImage > 2018 > 165 > C > 170-179

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 spinal-related diseases. While MRI templates of the spinal cord have been recently introduced, none of them cover the entire spinal cord. In this study, we introduced an unbiased multimodal MRI template of the spinal...

article

Spinal cord grey matter segmentation challenge

Ferran Prados, John Ashburner, Claudia Blaiotta, Tom Brosch, more

NeuroImage > 2017 > 152 > C > 312-329

An important image processing step in spinal cord magnetic resonance imaging is the ability to reliably and accurately segment grey and white matter for tissue specific analysis. There are several semi- or fully-automated segmentation methods for cervical cord cross-sectional area measurement with an excellent performance close or equal to the manual segmentation. However, grey matter segmentation...

article

Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter

Sara M. Dupont, Benjamin De Leener, Manuel Taso, Arnaud Le Troter, more

NeuroImage > 2017 > 150 > C > 358-372

The spinal cord white and gray matter can be affected by various pathologies such as multiple sclerosis, amyotrophic lateral sclerosis or trauma. Being able to precisely segment the white and gray matter could help with MR image analysis and hence be useful in further understanding these pathologies, and helping with diagnosis/prognosis and drug development. Up to date, white/gray matter segmentation...

article

SCT: Spinal Cord Toolbox, an open-source software for processing spinal cord MRI data

Benjamin De Leener, Simon Lévy, Sara M. Dupont, Vladimir S. Fonov, more

NeuroImage > 2017 > 145 > PA > 24-43

For the past 25 years, the field of neuroimaging has witnessed the development of several software packages for processing multi-parametric magnetic resonance imaging (mpMRI) to study the brain. These software packages are now routinely used by researchers and clinicians, and have contributed to important breakthroughs for the understanding of brain anatomy and function. However, no software package...

article

A Clinically Feasible Quantitative MRI Protocol to Assess Tissue Injury in the Cervical Spinal Cord Using DTI, MT, and T2*-Weighted Imaging: Reliability and Variations with Confounding Variables

Allan Martin, Benjamin De Leener, Julien Cohen-Adad, Izabela Aleksanderek, more

The Spine Journal > 2016 > 16 > 10(S) > S199-S200

chapter

3D vascular path planning of chemo-embolizations using segmented hepatic arteries from MR angiography

AnaiS Badoual, Maxime Gerard, Benjamin de Leener, Nadine Abi-Jaoudeh, more

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) > 1346 - 1349

2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

Transcatheter arterial chemo-embolization (TACE) is a therapeutic procedure to treat primary and metastatic liver cancer. It requires prior delineation of the hepatic arteries on magnetic resonance angiography (MRA) data and identification of the vessels supplying the tumor. Manual segmentation is extremely challenging and time consuming, thereby increasing the risk of wrongfully identifying the feeding...

article

Brainhack: a collaborative workshop for the open neuroscience community

R. Cameron Craddock, Daniel S. Margulies, Pierre Bellec, B. Nolan Nichols, more

GigaScience > 2016 > 5 > 1 > 1-8

Brainhack events offer a novel workshop format with participant-generated content that caters to the rapidly growing open neuroscience community. Including components from hackathons and unconferences, as well as parallel educational sessions, Brainhack fosters novel collaborations around the interests of its attendees. Here we provide an overview of its structure, past events, and example projects...

article

Fully automated segmentation of the cervical cord from T1-weighted MRI using PropSeg: Application to multiple sclerosis

Marios C. Yiannakas, Ahmed M. Mustafa, Benjamin De Leener, Hugh Kearney, more

NeuroImage: Clinical > 2016 > 10 > C > 71-77

Spinal cord (SC) atrophy, i.e. a reduction in the SC cross-sectional area (CSA) over time, can be measured by means of image segmentation using magnetic resonance imaging (MRI). However, segmentation methods have been limited by factors relating to reproducibility or sensitivity to change. The purpose of this study was to evaluate a fully automated SC segmentation method (PropSeg), and compare this...

article

Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling

Benjamin De Leener, Julien Cohen-Adad, Samuel Kadoury

IEEE Transactions on Medical Imaging > 2015 > 34 > 8 > 1705 - 1718

Quantifying spinal cord (SC) atrophy in neurodegenerative and traumatic diseases brings important diagnosis and prognosis information for the clinician. We recently developed the PropSeg method, which allows for fast, accurate and automatic segmentation of the SC on different types of MRI contrast (e.g., ${\rm T}_{1}$ -, ${\rm T}_{2}$ - and ${\rm T}_{2}^{\ast}$ -weighted sequences) and any field of view...

article

Robust, accurate and fast automatic segmentation of the spinal cord

Benjamin De Leener, Samuel Kadoury, Julien Cohen-Adad

NeuroImage > 2014 > 98 > C > 528-536

Spinal cord segmentation provides measures of atrophy and facilitates group analysis via inter-subject correspondence. Automatizing this procedure enables studies with large throughput and minimizes user bias. Although several automatic segmentation methods exist, they are often restricted in terms of image contrast and field-of-view. This paper presents a new automatic segmentation method (PropSeg)...

chapter

Robust structured light pattern for use with a hologram in 3D endoscopy

Benjamin Mertens, Benjamin De Leener, Olivier Debeir, Charles Beumier, more

2012 International Symposium on Optomechatronic Technologies (ISOT 2012) > 1 - 6

2012 International Symposium on Optomechatronic Technologies (ISOT 2012)

This paper introduces a novel structured light pattern designed to be compatible with the hologram projection. The proposed pattern is a De Bruijn-based sequence applied to a combination of continuous and dashed lines for the pattern. The sequence is coded in the period in the period and duty cycles of the dashed lines. It provides 16 different lines which limits to 2 the required number of lines...

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