10 Result(s)
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Chapter and Conference Paper
Online Atlasing Using an Iterative Centroid
Online atlasing, i.e. incrementing an atlas with new images as they are acquired, is key when performing studies on databases very large or still being gathered. We propose to this end a new diffeomorphic onli...
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Chapter and Conference Paper
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels
Pre-operative locoregional treatments (PLT) delay the tumor progression by necrosis for patients with hepato-cellular carcinoma (HCC). Toward an efficient evaluation of PLT response, we address the estimation ...
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Chapter and Conference Paper
Spatiotemporal Morphometry of Adjacent Tissue Layers with Application to the Study of Sulcal Formation
The process of brain growth involves the expansion of tissue at different rates at different points within the brain. As the layers within the develo** brain evolve they can thicken or increase in area as th...
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Chapter and Conference Paper
Probabilistic Tractography Using Q-Ball Modeling and Particle Filtering
By assuming that orientation information of brain white matter fibers can be inferred from Diffusion Weighted Magnetic Resonance Imaging (DWMRI) measurements, tractography algorithms provide an estimation of t...
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Chapter and Conference Paper
Data-Driven Cortex Segmentation in Reconstructed Fetal MRI by Using Structural Constraints
In utero fetal MR images are essential for the diagnosis of abnormal brain development and understanding brain structures maturation. Because of particular properties of these images, such as imp...
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Chapter and Conference Paper
Reconstruction of Scattered Data in Fetal Diffusion MRI
In this paper we present a method for reconstructing D-MRI data on regular grids from sparse data without assuming specific diffusion models. This is particularly important when studying the fetal brain in utero,...
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Chapter and Conference Paper
Measures for Characterizing Directionality Specific Volume Changes in TBM of Brain Growth
Tensor based morphology (TBM) is a powerful approach to analyze local structural changes in brain anatomy. However, conventional scalar TBM methods are unable to present direction-specific analysis of volume c...
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Chapter and Conference Paper
A Non-Local Fuzzy Segmentation Method: Application to Brain MRI
The Fuzzy C-Means algorithm is a widely used and flexible approach for brain tissue segmentation from 3D MRI. Despite its recent enrichment by addition of a spatial dependency to its formulation, it remains qu...
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Chapter and Conference Paper
Atlas-Based Segmentation of the Germinal Matrix from in Utero Clinical MRI of the Fetal Brain
Recently developed techniques for reconstruction of high-resolution 3D images from fetal MR scans allows us to study the morphometry of develo** brain tissues in utero. However, existing adult brain analysis...
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Chapter and Conference Paper
Brain Hallucination
In this paper, we investigate brain hallucination, or generating a high resolution brain image from an input low-resolution image, with the help of another high resolution brain image. Contrary to interpolatio...
