10 Result(s)
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Chapter and Conference Paper
Combining Spatial and Non-spatial Dictionary Learning for Automated Labeling of Intra-ventricular Hemorrhage in Neonatal Brain MRI
A specific challenge to accurate tissue quantification in premature neonatal MRI data is posed by Intra-Ventricular Hemorrhage (IVH), where severe cases can be accompanied by extreme and complex Ventriculomega...
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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
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
Incorporating DTI Data as a Constraint in Deformation Tensor Morphometry Between T1 MR Images
Deformation tensor morphometry provides a sensitive approach to detecting and map** subtle volume changes in the brain from conventional high resolution T1W MRI data. However, it is limited in its ability to...
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Chapter and Conference Paper
Population Based Analysis of Directional Information in Serial Deformation Tensor Morphometry
Deformation morphometry provides a sensitive approach to detecting and map** subtle volume changes in the brain. Population based analyses of this data have been used successfully to detect characteristic ch...
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Chapter and Conference Paper
A System for Measuring Regional Surface Folding of the Neonatal Brain from MRI
This paper describes a novel approach to in-vivo measurement of brain surface folding in clinically acquired neonatal MR image data, which allows evaluation of surface curvature within subregions of the cortex...
