D W Shattuck

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. ncbi Automated graph-based analysis and correction of cortical volume topology
    D W Shattuck
    Signal and Image Processing Institute, Department of Electrical Engineering Systems, University of Southern California, Los Angeles 90089 2564, USA
    IEEE Trans Med Imaging 20:1167-77. 2001
  2. ncbi BrainSuite: an automated cortical surface identification tool
    David 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
  3. ncbi Magnetic resonance image tissue classification using a partial volume model
    D W Shattuck
    Signal and Image Processing Institute, University of Southern California, Los Angeles, California 90089, USA
    Neuroimage 13:856-76. 2001
  4. ncbi Sulcal set optimization for cortical surface registration
    Anand A Joshi
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089 2564, USA
    Neuroimage 50:950-9. 2010
  5. ncbi Internet2-based 3D PET image reconstruction using a PC cluster
    D W Shattuck
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    Phys Med Biol 47:2785-95. 2002
  6. ncbi A framework for registration, statistical characterization and classification of cortically constrained functional imaging data
    Anand A Joshi
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    Inf Process Med Imaging 19:186-96. 2005
  7. ncbi Surface-constrained volumetric brain registration using harmonic mappings
    Anand A Joshi
    Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    IEEE Trans Med Imaging 26:1657-69. 2007
  8. ncbi Comparison of landmark-based and automatic methods for cortical surface registration
    Dimitrios Pantazis
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    Neuroimage 49:2479-93. 2010
  9. ncbi Construction of a 3D probabilistic atlas of human cortical structures
    David 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
  10. ncbi Genetic algorithms for finite mixture model based voxel classification in neuroimaging
    Jussi 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

Collaborators

Detail Information

Publications16

  1. ncbi Automated graph-based analysis and correction of cortical volume topology
    D W Shattuck
    Signal and Image Processing Institute, Department of Electrical Engineering Systems, University of Southern California, Los Angeles 90089 2564, USA
    IEEE Trans Med Imaging 20:1167-77. 2001
    ..A key benefit of the algorithm is that it localizes the change to a volume to the specific areas of its topological defects...
  2. ncbi BrainSuite: an automated cortical surface identification tool
    David 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...
  3. ncbi Magnetic resonance image tissue classification using a partial volume model
    D W Shattuck
    Signal and Image Processing Institute, University of Southern California, Los Angeles, California 90089, USA
    Neuroimage 13:856-76. 2001
    ..Our method achieved average kappa indices kappa = 0.893 +/- 0.041 for GM and kappa = 0.928 +/- 0.039 for WM compared to the ground truth labeling on 12 volumes from the Montreal Neurological Institute's BrainWeb phantom...
  4. ncbi Sulcal set optimization for cortical surface registration
    Anand 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...
  5. ncbi Internet2-based 3D PET image reconstruction using a PC cluster
    D W Shattuck
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    Phys Med Biol 47:2785-95. 2002
    ..We report on the speed-up factors using the Beowulf approach and the impacts of communication latencies in the local cluster network and the network connection between the user's machine and our PC cluster...
  6. ncbi A framework for registration, statistical characterization and classification of cortically constrained functional imaging data
    Anand A Joshi
    Signal and Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
    Inf Process Med Imaging 19:186-96. 2005
    ....
  7. ncbi Surface-constrained volumetric brain registration using harmonic mappings
    Anand 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...
  8. ncbi Comparison of landmark-based and automatic methods for cortical surface registration
    Dimitrios 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...
  9. ncbi Construction of a 3D probabilistic atlas of human cortical structures
    David 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
    ....
  10. ncbi Genetic algorithms for finite mixture model based voxel classification in neuroimaging
    Jussi 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...
  11. ncbi Quantitative evaluation of automated skull-stripping methods applied to contemporary and legacy images: effects of diagnosis, bias correction, and slice location
    Christine 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...
  12. ncbi Cerebellar cortical atrophy in experimental autoimmune encephalomyelitis
    Allan 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...
  13. ncbi Segmentation of skull and scalp in 3-D human MRI using mathematical morphology
    Belma Dogdas
    Signal and Image Processing Institute University of Southern California, Los Angeles, California 90089-2564, USA
    Hum Brain Mapp 26:273-85. 2005
    ....
  14. ncbi A meta-algorithm for brain extraction in MRI
    David 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...
  15. ncbi The informatics of a C57BL/6J mouse brain atlas
    Allan 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...
  16. ncbi A multimodal, multidimensional atlas of the C57BL/6J mouse brain
    Allan 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...