D W Shattuck

Summary

Affiliation: University of Southern California
Country: USA

Publications

  1. ncbi request reprint 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 request reprint 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 request reprint 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. pmc An invariant shape representation using the anisotropic Helmholtz equation
    A A Joshi
    Signal and Image Processing Institute, Univ of Southern California, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 15:607-14. 2012
  5. pmc 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
  6. ncbi request reprint 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
  7. ncbi request reprint 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
  8. ncbi request reprint 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
  9. pmc 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
  10. pmc 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

Collaborators

Detail Information

Publications17

  1. ncbi request reprint 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 request reprint 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 request reprint 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. pmc An invariant shape representation using the anisotropic Helmholtz equation
    A A Joshi
    Signal and Image Processing Institute, Univ of Southern California, Los Angeles, CA, USA
    Med Image Comput Comput Assist Interv 15:607-14. 2012
    ..Left-right sulcal shape symmetry as measured by the shape representation's metric demonstrates the utility of the presented invariant representation for shape analysis of the cortical folding pattern...
  5. pmc 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...
  6. ncbi request reprint 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...
  7. ncbi request reprint 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
    ....
  8. ncbi request reprint 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...
  9. pmc 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...
  10. pmc 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
    ....
  11. pmc 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...
  12. pmc 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...
  13. ncbi request reprint 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...
  14. ncbi request reprint 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
    ....
  15. ncbi request reprint 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...
  16. ncbi request reprint 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...
  17. pmc 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...