Mois : février 2021

Optical Imaging Session

Optical Imaging Session (OIS) data type and processing pipeline. This software was developed for the Joe Culver lab at Washington University for use in the fcMicrobiota project, which uses optical functional connectivity scans to study the effects of immature gut microbiome in mice. This package includes: the OIS data type module, the OIS pipeline module,…
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Q-dMRI Lesion-Load Structural Connectome (Q-LLSC)

QMENTA’s fully automated connectome pipeline enhanced with lesion-load capabilities. Specially designed for neurodegenerative diseases. Yields a full dis-connectomic analysis from DTI or HARDI images. T2-FLAIR images and T1 weighted anatomical imaging. The connectome and lesion load matrices can be examined in a PDF report or exported as numerical data for graph-based analysis. Key features: Fully…
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SIENA is a package for both single-time-point (“cross-sectional”) and two-time-point (“longitudinal”) analysis of brain change, in particular, the estimation of atrophy (volumetric loss of brain tissue). SIENA has been used in many clinical studies. Siena estimates percentage brain volume change (PBVC) betweem two input images, taken of the same subject, at different points in time.…
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Q-FiberMapper (Q-FM)

The Q-FiberMapper derives diffusion parameters for specific white matter fascicles in the brain using a combination diffusion-weighted magnetic resonance imaging (dMRI) and anatomical MRI information from a T1-weighted image. The tool segments 16 major white matter fascicles and estimates diffusion tensor parameters FA, MD, AD and RD for each. The QFM reconstructs the left and…
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FreeSurfer est un logiciel d’imagerie des IRM de cerveau développé par Athinoula A. Martinos Center for Biomedical Imaging2 du Massachusetts General Hospital avec le support du CorTechs Labs, Inc, La Jolla, CA3. C’est un outil important d’imagerie neurofonctionnelle, et facilite la visualisation des régions d’activations fonctionnelles du cortex cérébral, jusque-là rendue difficile par le nombre…
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The methods will be assessed with voxel-by-voxel ground-truth from the numerical simulation in the case of simulated images, from associated high resolution images / known characteristics of objects in the case of physical phantoms, and from either histopathological measurements or statistical consensus of several manual delineations by experts for clinical images. Performance of the methods…
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Pipeline integration

The challengers will integrate their segmentation pipeline in the France Life Imaging platform with the help of the FLI team. Please contact for any question. The pipeline will be implemented in the VIP platform using the steps described here. Once registered to the challenge, please follow these steps as soon as possible to identify…
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PET segmentation challenge

Automated segmentation of PET images for the delineation of tumor volumes has been the focus of intense research efforts for the last few years [1]. There has also been a few limited efforts to compare several methods on common datasets [2], but in the majority of cases, each method has been evaluated on different image…
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Multiple Sclerosis Lesions segmentation challenge

As part of an ongoing effort, towards automatic segmentation of MRI scans of MS patients, of the OFSEP (French registry on multiple sclerosis aiming at gathering, for research purposes, imaging data, clinical data and biological samples from the French population of multiple sclerosis subjects) and FLI (France Life Imaging), we are organizing a challenge on…
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Segmentation challenge

Segmentation challenge using a data management and processing infrastructure