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Automatic segmentation of neonatal brain mri

by Marcel Prastawa, John Gilmore, Weili Lin, Guido Gerig - In: MICCAI , 2004
"... Abstract. This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying early growth patterns and morphologic change in neurodevelopmental disorders. Automatic segmentation of these i ..."
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Abstract. This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying early growth patterns and morphologic change in neurodevelopmental disorders. Automatic segmentation

Texture Analysis of Hippocampus for Epilepsy

by Kourosh Jafari-Khouzani, Mohammad-Reza Siadat, Hamid Soltanian-Zadeh, Kost Elisevich - PROCEEDINGS OF SPIE (IMAGE PROCESSING CONFERENCE, AT SPIE MEDICAL IMAGING 2003 , 2003
"... This paper presents our recent study to evaluate how effectively the image texture information within the hippocampus structure can help the physicians to determine the candidates for epilepsy surgery. First we segment the hippocampus from T1-weighted images using our newly developed knowledge-based ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
This paper presents our recent study to evaluate how effectively the image texture information within the hippocampus structure can help the physicians to determine the candidates for epilepsy surgery. First we segment the hippocampus from T1-weighted images using our newly developed knowledge

A Grid Infrastructure for Image Registration and Segmentation

by M. Burns, A. L. Rowland, D. Rueckert, J. V. Hajnal, D. L. G. Hill
"... Health care, medical research and drug discovery rely increasingly on the use of computationally intensive image processing algorithms to add value to the wealth of radiological images obtained through techniques such as Magnetic Resonance Imaging (MRI). Use of these algorithms on large cohorts rema ..."
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remains problematic given the lack of a suitable IT infrastructure within many institutions and the problems associated with sharing imaging data in a secure and controlled way. Grid computing offers a potential solution to such problems through the promise of large scale distributed resource sharing

Medial Temporal Lobe Activations in fMRI and PET Studies of Episodic Encoding and Retrieval

by Daniel L. Schacter, Anthony D. Wagner - Hippocampus , 1999
"... Early neuroimaging studies often failed to obtain evidence of medial temporal lobe (MTL) activation during episodic encoding or retrieval, but a growing number of studies using functional magnetic resonance imaging (fMRI) and positron emission tomography (PET) have provided such evidence. We rev ..."
Abstract - Cited by 83 (9 self) - Add to MetaCart
et al., Hippocampus 1998;8:313-- 322) that appears to contradict the fMRI encoding data. Based on their analysis of the rostrocaudal distribution of activations reported during episodic encoding or retrieval, Lepage et al. (1998) concluded that anterior MTL is strongly associated with episodic

Keywords: Magnetic Resonance Imaging, Segmentation, NHP, Hippocampus, Deformable Model, Level Set Segmentation of Subcortical Structures from Nonhuman Primate MRI

by Warren Hsiao-tseng Liu, Robert A. Kraft, Ph. D, Warren Hsiao-tseng Liu , 2006
"... Segmented analysis of subcortical structures within the nonhuman primate can potentially have a profound impact on studying the relationship between volumetric characteristics and alcohol dependencies. Image segmentations have been widely used in quantifying structural information. There are a varie ..."
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Segmented analysis of subcortical structures within the nonhuman primate can potentially have a profound impact on studying the relationship between volumetric characteristics and alcohol dependencies. Image segmentations have been widely used in quantifying structural information. There are a

Hippocampus Segmentation using a Local Prior Model on its Boundary

by Dimitrios Zarpalas, Anastasios Zafeiropoulos, Petros Daras, Nicos Maglaveras, Senior Member
"... Abstract—Segmentation techniques based on Active Contour Models have been strongly benefited from the use of prior information during their evolution. Shape prior information is captured from a training set and is introduced in the optimization procedure to restrict the evolution into allowable shap ..."
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. This paper focuses on a more natural way of incorporating the prior information in the level set framework. For proof of concept the method is applied on hippocampus segmentation in T1-MR images. Hippocampus segmentation is a very challenging task, due to the multivariate surrounding region and the missing

Automated Segmentation of Hippocampal Subfields From Ultra-High Resolution In Vivo MRI

by Koen Van Leemput, Akram Bakkour, Thomas Benner, Graham Wiggins, Lawrence L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Golland, Bruce Fischl - HIPPOCAMPUS 19:549–557 (2009) , 2009
"... Recent developments in MRI data acquisition technology are starting to yield images that show anatomical features of the hippocampal formation at an unprecedented level of detail, providing the basis for hippocampal subfield measurement. However, a fundamental bottleneck in MRI studies of the hipp ..."
Abstract - Cited by 15 (0 self) - Add to MetaCart
of the hippocampus at the subfield level is that they currently depend on manual segmentation, a laborious process that severely limits the amount of data that can be analyzed. In this article, we present a computational method for segmenting the hippocampal subfields in ultra-high resolution MRI data in a fully

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
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in this paper: they rely on data and sources presented in the updated version of my trilogy (Castells 2000a). For the sake of clarity, I will rst present the conceptual framework I use in my analysis of social structure. I will then proceed to enumerate the main transformations taking place in social structures

Automated Segmentation of Hippocampal Subfields From Ultra- High Resolution In Vivo MRI

by L. Wald, Jean Augustinack, Bradford C. Dickerson, Polina Goll
"... Recent developments in MRI data acquisition technology are starting to yield images that show anatomical features of the hippocampal formation at an unprecedented level of detail, providing the basis for hippocampal subfield measurement. However, a fundamental bottleneck in MRI studies of the hippoc ..."
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of the hippocampus at the subfield level is that they currently depend on manual segmentation, a laborious process that severely limits the amount of data that can be analyzed. In this article, we present a computational method for segmenting the hippocampal subfields in ultra-high resolution MRI data in a fully

Pennec X: Multiple sclerosis brain MRI segmentation workflow

by Erik Pernod, Jean-christophe Souplet, Javier Rojas Balderrama, Diane Lingr, Xavier Pennec - RUIZ ET AL. deployment on the EGEE Grid. Proceedings of the MICCAIGrid Workshop , 2008
"... Automatic brain MRI segmentations methods are useful but computationally intensive tools in medical image computing. Deploying them on grid infrastructures can provide an efficient resource for data handling and computing power. In this study, an efficient implementation of a brain MRI segmentation ..."
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Automatic brain MRI segmentations methods are useful but computationally intensive tools in medical image computing. Deploying them on grid infrastructures can provide an efficient resource for data handling and computing power. In this study, an efficient implementation of a brain MRI segmentation
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