Research Topics
| David W ShattuckSummaryAffiliation: University of California Country: USA Publications
| Collaborators
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Detail Information
Publications
Segmentation of skull and scalp in 3-D human MRI using mathematical morphologyBelma Dogdas
Signal and Image Processing Institute University of Southern California, Los Angeles, California 90089-2564, USA
Hum Brain Mapp 26:273-85. 2005....- BrainSuite: an automated cortical surface identification toolDavid W Shattuck
Signal and Image Processing Institute, Department of Electrical Engineering Systems, University of Southern California, Los Angeles 90089 2564, USA
Med Image Anal 6:129-42. 2002..In this paper we describe the theory of each stage of the cortical surface identification process. We then present classification validation results using real and phantom data. We also present a study of interoperator variability... - A meta-algorithm for brain extraction in MRIDavid E Rex
Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine at UCLA, 710 Westwood Plaza, Los Angeles, CA 90095-1769, USA
Neuroimage 23:625-37. 2004..BEMA outperformed the individual algorithms, as well as interrater results from a subset of the scans, when compared for the mean Dice coefficient, a rating of the similarity of output masks to the manually defined gold standards... - Cerebellar cortical atrophy in experimental autoimmune encephalomyelitisAllan MacKenzie-Graham
Laboratory of Neuro Imaging, Department of Neurology, University of California-Los Angeles, 635 Charles Young Drive South, Los Angeles, CA 90095-1769, USA
Neuroimage 32:1016-23. 2006..The model described herein can now be used to investigate neuropathologic mechanisms that lead to the development of gray matter atrophy in this setting... 
Construction of a 3D probabilistic atlas of human cortical structuresDavid W Shattuck
Laboratory of Neuro Imaging, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, 635 Charles Young Drive South, NRB1, Suite 225, Los Angeles, CA 90095, USA
Neuroimage 39:1064-80. 2008....- Semi-automated method for delineation of landmarks on models of the cerebral cortexDavid W Shattuck
Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
J Neurosci Methods 178:385-92. 2009..Our new method was shown to be faster to use, to provide reduced inter-rater variability, and to provide results that were at least as accurate as those produced using Display... - Online resource for validation of brain segmentation methodsDavid W Shattuck
Laboratory of Neuro Imaging, David Geffen School of Medicine, University of California, Los Angeles, 635 Charles Young Drive South, NRB1, Suite 225, Los Angeles, California 90095, USA
Neuroimage 45:431-9. 2009..NeuroImage 13 (5), 856-876 (May) under several different program settings. Our results show that with proper parameter selection, all 3 algorithms can achieve satisfactory skull-stripping on the test data... - Surface-constrained volumetric brain registration using harmonic mappingsAnand A Joshi
Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
IEEE Trans Med Imaging 26:1657-69. 2007..We evaluate the performance of our proposed method relative to existing methods that use only intensity information; for this comparison we compute the intersubject alignment of expert-labeled subcortical structures after registration... - Visualization tools for high angular resolution diffusion imagingDavid W Shattuck
Laboratory of Neuro Imaging, Dept of Neurology, UCLA, Los Angeles, CA, USA
Med Image Comput Comput Assist Interv 11:298-305. 2008..Visualizations are presented after registration and averaging of HARDI data from 90 human subjects, revealing important details for which there would be no direct way to appreciate using conventional display of scalar images... - The informatics of a C57BL/6J mouse brain atlasAllan MacKenzie-Graham
Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, CA, USA
Neuroinformatics 1:397-410. 2003..A comprehensive framework that encompasses many forms of information in the context of anatomic imaging holds tremendous promise for producing new insights. The atlas and associated tools can be found at http://www.loni.ucla.edu/MAP... - A framework for registration, statistical characterization and classification of cortically constrained functional imaging dataAnand A Joshi
Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
Inf Process Med Imaging 19:186-96. 2005.... - Genetic algorithms for finite mixture model based voxel classification in neuroimagingJussi Tohka
Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, University of California, Los Angeles, CA 90095, USA
IEEE Trans Med Imaging 26:696-711. 2007..The tissue classification results by our method are shown to be consistently more reliable and accurate than with the competing parameter estimation methods... - Sulcal set optimization for cortical surface registrationAnand A Joshi
Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 2564, USA
Neuroimage 50:950-9. 2010..The optimal subsets of sulci are presented and the estimated and actual registration errors for these subsets are computed... - Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction, and slice locationChristine Fennema-Notestine
Laboratory of Cognitive Imaging, Department of Psychiatry, University of California, San Diego, and Veterans Affairs San Diego Healthcare System, San Diego, La Jolla, California 92093, USA
Hum Brain Mapp 27:99-113. 2006..The results of this study may direct users towards a method appropriate to their T1-weighted datasets and improve the efficiency of processing for large, multisite neuroimaging studies... - A diffusion tensor imaging tractography algorithm based on Navier-Stokes fluid mechanicsNathan S Hageman
Laboratory of Neuroimaging, University of California Los Angeles UCLA School of Medicine, Los Angeles, CA 90095, USA
IEEE Trans Med Imaging 28:348-60. 2009..Our method produced paths that were consistent with both known anatomy and directionally encoded color images of the DTI dataset... - Comparison of landmark-based and automatic methods for cortical surface registrationDimitrios Pantazis
Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
Neuroimage 49:2479-93. 2010..When automatic methods are used, the users should ensure that sulci in regions of interest in their studies are adequately aligned before proceeding with subsequent analysis... - Active fibers: matching deformable tract templates to diffusion tensor imagesIlya Eckstein
Laboratory of Neuro Imaging, Dept of Neurology, David Geffen School of Medicine, University of California, Los Angeles, USA
Neuroimage 47:T82-9. 2009..The method is validated using phantom DTI data and applications are presented, including automatic fiber-bundle reconstruction and tract-based morphometry... - The Center for Computational Biology: resources, achievements, and challengesArthur W Toga
Center for Computational Biology, Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, California 90095 7334, USA
J Am Med Inform Assoc 19:202-6. 2012.... - Mean diffusivity: a biomarker for CSF-related disease and genetic liability effects in schizophreniaKatherine L Narr
Laboratory of Neuro Imaging, Geffen School of Medicine, UCLA, Los Angeles, CA, USA
Psychiatry Res 171:20-32. 2009.... - Genetics of brain fiber architecture and intellectual performanceMing Chang Chiang
Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, School of Medicine, Los Angeles, California 90095 7334, USA
J Neurosci 29:2212-24. 2009..These genetic brain maps reveal heritable aspects of white matter integrity and should expedite the discovery of single-nucleotide polymorphisms affecting fiber connectivity and cognition... - Mapping the human connectomeArthur W Toga
Laboratory of Neuro Imaging LONI, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095 7334, USA
Neurosurgery 71:1-5. 2012..What is more, an understanding of how brains might become disordered will shed light on autism, schizophrenia, Alzheimer’s, and other diseases that exact a tremendous and terrible social and economic toll... - DigiWarp: a method for deformable mouse atlas warping to surface topographic dataAnand A Joshi
Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA 90095, USA
Phys Med Biol 55:6197-214. 2010..Computed Dice coefficients indicate excellent overlap in the brain and the heart, with fair agreement in the kidneys and the bladder... - A multimodal, multidimensional atlas of the C57BL/6J mouse brainAllan MacKenzie-Graham
Laboratory of Neuro Imaging, Department of Neurology, University of California, Los Angeles, 710 Westwood Plaza, Room 4-238, Los Angeles, CA 90095-1769, USA
J Anat 204:93-102. 2004..Thus, the atlas becomes a framework for managing complex genetic and epigenetic information about the mouse brain. The atlas and associated tools may be accessed at http://www.loni.ucla.edu/MAP...