in this paper, we present a new brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (ls-svm). the method consists of three steps. in the first two steps, the skull is removed and cerebrospinal fluid (csf) is extracted. these two steps are performed using the fast toolbox (fmrib's a...

We introduce a generative probabilistic model for segmentation of brain lesions in multi-dimensional images that generalizes the EM segmenter, a common approach for modelling brain images using Gaussian mixtures and a probabilistic tissue atlas that employs expectation-maximization (EM) to estimate the label map for a new image. Our model augments the probabilistic atlas of the healthy tissues ...

BACKGROUND Anatomical atlases are 3D volumes or shapes representing an organ or structure of the human body. They contain either the prototypical shape of the object of interest together with other shapes representing its statistical variations (statistical atlas) or a probability map of belonging to the object (probabilistic atlas). Probabilistic atlases are mostly built with simple estimation...

Automated and accurate tissue classification in 3D brain Magnetic Resonance images is essential in volumetric morphometry or as a preprocessing step for diagnosing brain diseases. However, noise, intensity inhomogeneity and partial volume effects limit the classification accuracy of the existing methods. This work performs brain tissue classification using an approach combining three commonly u...

We present a new 3D template atlas of the anatomical subdivisions of the macaque brain, which is based on and aligned to the magnetic resonance imaging (MRI) data set and histological sections of the Saleem and Logothetis atlas. We describe the creation and validation of the atlas that, when registered with macaque structural or functional MRI scans, provides a straightforward means to estimate...

The acquisition of high-quality magnetic resonance (MR) images of neonatal brains is largely hampered by their characteristically small head size and insufficient tissue contrast. As a result, subsequent image processing and analysis, especially brain tissue segmentation, are often affected. To overcome this problem, a dedicated phased array neonatal head coil is utilized to improve MR image qu...

PURPOSE To describe the development of a technique that enhances spatial resolution of retinal thickness maps of the Stratus OCT (Carl Zeiss Meditec, Inc., Dublin, CA). A retinal thickness atlas (RT-atlas) template was calculated, and a macular coordinate system was established, to pursue this objective. METHODS The RT-atlas was developed from principal component analysis of retinal thickness...

Moving from flatland to spaceland”, this phrase aims at a development in atlas cartography, which represents a move from 2D maps to 3D representations. Navigation thus becomes a central feature of interaction. The concept of ‘3D thinking’ in interactive atlas navigation results in user-friendly solutions, which allows for a smooth shift between 2D and 3D maps and for easy 3D navigation with no ...

Moving from flatland to spaceland”, this phrase aims at a development in atlas cartography, which represents a move from 2D maps to 3D representations. Navigation thus becomes a central feature of interaction. The concept of ‘3D thinking’ in interactive atlas navigation results in user-friendly solutions, which allows for a smooth shift between 2D and 3D maps and for easy 3D navigation with no ...