Results 1 - 10 of 5,168

Sparse MRI: The Application of Compressed Sensing for Rapid MR Imaging

by Michael Lustig, David Donoho, John M. Pauly - MAGNETIC RESONANCE IN MEDICINE 58:1182–1195 , 2007
"... The sparsity which is implicit in MR images is exploited to significantly undersample k-space. Some MR images such as angiograms are already sparse in the pixel representation; other, more complicated images have a sparse representation in some transform domain–for example, in terms of spatial finit ..."
Abstract - Cited by 538 (11 self) - Add to MetaCart
The sparsity which is implicit in MR images is exploited to significantly undersample k-space. Some MR images such as angiograms are already sparse in the pixel representation; other, more complicated images have a sparse representation in some transform domain–for example, in terms of spatial

Marching cubes: A high resolution 3D surface construction algorithm

by William E. Lorensen, Harvey E. Cline - COMPUTER GRAPHICS , 1987
"... We present a new algorithm, called marching cubes, that creates triangle models of constant density surfaces from 3D medical data. Using a divide-and-conquer approach to generate inter-slice connectivity, we create a case table that defines triangle topology. The algorithm processes the 3D medical d ..."
Abstract - Cited by 2696 (4 self) - Add to MetaCart
-slice connectivity, surface data, and gradient information present in the original 3D data. Results from computed tomography (CT), magnetic resonance (MR), and single-photon emission computed tomography (SPECT) illustrate the quality and functionality of marching cubes. We also discuss improvements that decrease

Improving MapReduce Performance in Heterogeneous Environments

by Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy Katz, Ion Stoica , 2008
"... MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-source implementation of MapReduce enjoying wide adoption and is often used for short jobs where low response time is cri ..."
Abstract - Cited by 350 (19 self) - Add to MetaCart
MapReduce is emerging as an important programming model for large-scale data-parallel applications such as web indexing, data mining, and scientific simulation. Hadoop is an open-source implementation of MapReduce enjoying wide adoption and is often used for short jobs where low response time

T.: Anatomy dependent multi-context fuzzy clustering for separation of brain tissues in mr images

by Cz Zhu, Fc Lin, Tz Jiang - In: 2nd International Workshop on Medial Imaging and Augmented Reality , 2004
"... Abstract. In a previous work, a local tissue distribution model and multi-context fuzzy clustering (MCFC) method had been proposed to successfully classify 3D T1-weighted MR images into tissues of white matter, gray matter, and cerebral spinal fluid in the condition of intensity inhomogeneities. Thi ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
. This pa-per presents a complementary and improved version of MCFC. Firstly, quanti-tative analyses are added to validate the soundness of basic assumptions for MCFC. Carefully studies on the experiment results of MCFC on a set of simu-lated MR data disclose a fact that misclassification rate in a context

Advances in functional and structural mr image analysis and implementation as fsl

by Stephen M. Smith, Mark Jenkinson, Mark W. Woolrich, Christian F. Beckmann, Timothy E. J. Behrens, Heidi Johansen-berg, Peter R. Bannister, Marilena De Luca, Ivana Drobnjak, David E. Flitney, Rami K. Niazy, James Saunders, John Vickers, Yongyue Zhang, Nicola De Stefano, J. Michael Brady, Paul M. Matthews - NeuroImage , 2004
"... The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions which could not p ..."
Abstract - Cited by 274 (7 self) - Add to MetaCart
The techniques available for the interrogation and analysis of neuroimaging data have a large influence in determining the flexibility, sensitivity and scope of neuroimaging experiments. The development of such methodologies has allowed investigators to address scientific questions which could

A comparison of approaches to large-scale data analysis.

by Andrew Pavlo , Erik Paulson , Alexander Rasin , Daniel J Abadi , David J Dewitt , Samuel Madden , Michael Stonebraker - In Proc. of the SIGMOD Conf., , 2009
"... ABSTRACT There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis ..."
Abstract - Cited by 258 (7 self) - Add to MetaCart
ABSTRACT There is currently considerable enthusiasm around the MapReduce (MR) paradigm for large-scale data analysis

BrainWeb: Online Interface to a 3D MRI Simulated Brain Database

by Chris A. Cocosco, Vasken Kollokian, Remi K.-S. Kwan, G. Bruce Pike, Alan C. Evans - NeuroImage , 1997
"... Introduction: The increased importance of automated computer techniques for anatomical brain mapping from MR images and quantitative brain image analysis methods leads to an increased need for validation and evaluation of the effect of image acquisition parameters on performance of these procedures ..."
Abstract - Cited by 283 (3 self) - Add to MetaCart
of these procedures. Validation of analysis techniques of in-vivo acquired images is complicated due to the lack of reference data ("ground truth"). Also, optimal selection of the MR imaging parameters is difficult due to the large parameter space. BrainWeb makes available to the neuroimaging community

Voxel-based morphometry—The methods

by John Ashburner, Karl J. Friston - Neuroimage , 2000
"... At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforward and involves spatially normalizing high-resolution images from all the subjects in the study into the ..."
Abstract - Cited by 273 (4 self) - Add to MetaCart
comparisons are made using the theory of Gaussian random fields. This paper describes the steps involved in VBM, with particular emphasis on segmenting gray matter from MR images with nonuniformity artifact. We provide evaluations of the assumptions that underpin the method, including the accuracy

Raxml-iii: a fast program for maximum likelihood-based inference of large phylogenetic trees

by A. Stamatakis, T. Ludwig, H. Meier - Bioinformatics , 2005
"... Motivation: The computation of large phylogenetic trees with statistical models such as maximum likelihood or bayesian inference is computationally extremely intensive. It has repeatedly been demonstrated that these models are able to recover the true tree or a tree which is topologically closer to ..."
Abstract - Cited by 259 (17 self) - Add to MetaCart
implementations for maximum likelihood and bayesian inference: PHYML and MrBayes. Whereas RAxML-III performs worse than PHYML and MrBayes on synthetic data it clearly outperforms both programs on all real data alignments used in terms of speed and final likelihood values. Availability & Supplementary

Adaptive Segmentation of MRI data

by W.M. Wells, III, W.E.L. Grimson, R. Kikinis, F. A. Jolesz , 1995
"... Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and inter-scan intensity inhomogeneities are a common source of difficulty. While reported methods have had some success in correcting intra-scan inhomogeneities, such methods requi ..."
Abstract - Cited by 224 (15 self) - Add to MetaCart
Intensity-based classification of MR images has proven problematic, even when advanced techniques are used. Intra-scan and inter-scan intensity inhomogeneities are a common source of difficulty. While reported methods have had some success in correcting intra-scan inhomogeneities, such methods
Results 1 - 10 of 5,168