Research Topics
| P Thomas FletcherSummaryAffiliation: University of Utah Country: USA Publications
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Detail Information
Publications
Microstructural connectivity of the arcuate fasciculus in adolescents with high-functioning autismP Thomas Fletcher
School of Computing, University of Utah, Salt Lake City, UT, USA
Neuroimage 51:1117-25. 2010....- The geometric median on Riemannian manifolds with application to robust atlas estimationP Thomas Fletcher
University of Utah, Salt Lake City, Utah, USA
Neuroimage 45:S143-52. 2009..Using this approach, we also present a robust brain atlas estimation technique based on the geometric median in the space of deformable images... - Particle-based shape analysis of multi-object complexesJoshua Cates
Scientific Computing and Imaging Institute, Univ Utah, Salt Lake City, UT, USA
Med Image Comput Comput Assist Interv 11:477-85. 2008..We also consider statistical analysis of object poses. The modeling and analysis methods are illustrated on brain structure complexes from an ongoing clinical study of pediatric autism... - Group statistics of DTI fiber bundles using spatial functions of tensor measuresCasey B Goodlett
School of Computing, University of Utah, USA
Med Image Comput Comput Assist Interv 11:1068-75. 2008..Plots of the discrimination direction provide a clinical interpretation of the group differences. The methodology is tested on a pediatric study of subjects aged one and two years... 
Interactive visualization of volumetric white matter connectivity in DT-MRI using a parallel-hardware Hamilton-Jacobi solverWon Ki Jeong
Scientific Computing and Imaging Instiutte, School of Computing, University of Utah, Salt Lake City 84112, USA
IEEE Trans Vis Comput Graph 13:1480-7. 2007..We demonstrate the proposed method on some synthetic and real DT-MRI datasets and compare the performance with existing methods...- scMRI reveals large-scale brain network abnormalities in autismBrandon A Zielinski
Departments of Pediatrics and Neurology, University of Utah, Salt Lake City, UT, USA
PLoS ONE 7:e49172. 2012..Moreover, we provide evidence of specific abnormalities in brain network architecture underlying autism that are quantifiable using standard clinical MRI... - Particle based shape regression of open surfaces with applications to developmental neuroimagingManasi Datar
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, Utah, USA
Med Image Comput Comput Assist Interv 12:167-74. 2009..We demonstrate the method on synthetic data and provide a new results on clinical MRI data related to early development of the human head... - Axon tracking in serial block-face scanning electron microscopyElizabeth Jurrus
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
Med Image Anal 13:180-8. 2009..Validation results indicate that this algorithm can significantly speed up the task of manual axon tracking... - Group analysis of resting-state fMRI by hierarchical Markov random fieldsWei Liu
Scientific Computing and Imaging Institute, University of Utah, USA
Med Image Comput Comput Assist Interv 15:189-96. 2012..We show that our method is able to estimate more consistent subject label maps, as well as a stable group label map... - Functional connectivity magnetic resonance imaging classification of autismJeffrey S Anderson
Department of Neuroradiology, University of Utah, 1A71 School of Medicine, Salt Lake City, UT 84132, USA
Brain 134:3742-54. 2011..These findings indicate feasibility of a functional connectivity magnetic resonance imaging diagnostic assay for autism... - Spatial regularization of functional connectivity using high-dimensional Markov random fieldsWei Liu
Scientific Computing and Imaging Institute, University of Utah, USA
Med Image Comput Comput Assist Interv 13:363-70. 2010..We present an efficient, highly parallelized algorithm on the Graphics Processing Unit (GPU). We validate our approach on a synthetically generated example as well as real data from a resting state fMRI study... - Genetic, structural and functional imaging biomarkers for early detection of conversion from MCI to ADNikhil Singh
University of Utah, Salt Lake City, UT, USA
Med Image Comput Comput Assist Interv 15:132-40. 2012..We evaluate the proposed methodology on the Alzheimer's Disease Neuroimaging Initiative (ADNI) database to predict conversion of individuals with mild cognitive impairment (MCI) to AD, only using information available at baseline... 
Realizing the potential of positron emission tomography with 18F-fluorodeoxyglucose to improve the treatment of Alzheimer's diseaseNorman L Foster
Center for Alzheimer s Care, Imaging and Research, Department of Neurology, University of Utah, Salt Lake City, UT, USA
Alzheimers Dement 4:S29-36. 2008..The judicious use of FDG-PET is needed to accelerate the evaluation of promising new drugs and more rationally target treatments for dementing diseases...- Shape modeling and analysis with entropy-based particle systemsJoshua Cates
School of Computing, University of Utah, Salt Lake City UT, USA
Inf Process Med Imaging 20:333-45. 2007..This paper presents the formulation; several synthetic examples in two and three dimensions; and an application to the statistical shape analysis of the caudate and hippocampus brain structures from two clinical studies... - Multivariate statistical analysis of deformation momenta relating anatomical shape to neuropsychological measuresNikhil Singh
University of Utah, Salt Lake City, UT, USA
Med Image Comput Comput Assist Interv 13:529-37. 2010..We report the results of this analysis on 313 subjects from the Mild Cognitive Impairment group in the Alzheimer's Disease Neuroimaging Initiative (ADNI)... - Group analysis of DTI fiber tract statistics with application to neurodevelopmentCasey B Goodlett
Scientific Computing and Imaging Institute, School of Computing, University of Utah, Salt Lake City, Utah 84112, USA
Neuroimage 45:S133-42. 2009..Significant differences in neonates were found in the splenium tract between controls and subjects with isolated mild ventriculomegaly (MVM) demonstrating the potential of this method for clinical studies... - A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRIP Thomas Fletcher
School of Computing, University of Utah, Salt Lake City, UT, USA
Inf Process Med Imaging 20:346-58. 2007..In this way we can obtain volumetric measures on white-matter tracts between regions without any explicit integration of tracts. We demonstrate the proposed method on several fiber tracts from DT-MRI data of the normal human brain... - Adaptive Riemannian metrics for improved geodesic tracking of white matterXiang Hao
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT, USA
Inf Process Med Imaging 22:13-24. 2011..We demonstrate that the proposed method results in improved geodesics using both synthetic and real DTI data... - Quantifying metabolic asymmetry modulo structure in Alzheimer's diseaseP Thomas Fletcher
School of Computing, University of Utah, Salt Lake City, UT, USA
Inf Process Med Imaging 20:446-57. 2007..We present results from applying the methodology to images from the Alzheimer's Disease Neuroimaging Initiative (ADNI)... - 4D MAP image reconstruction incorporating organ motionJacob Hinkle
Scientific Computing and Imaging Institute, University of Utah Salt Lake City, Utah, USA
Inf Process Med Imaging 21:676-87. 2009..An example of applying this algorithm to real patient image data is also presented, demonstrating the utility of the algorithm in reducing artifacts... - Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brainNeda Sadeghi
Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT 84112, USA
Neuroimage 68:236-47. 2013..This will eventually lead to a prediction of white matter diffusion properties and associated cognitive development at later stages given imaging data at early stages...