Moo K Chung

Summary

Affiliation: University of Wisconsin
Country: USA

Publications

  1. ncbi Deformation-based surface morphometry applied to gray matter deformation
    Moo K Chung
    Department of Statistics, University of Wisconsin, 1210 West Dayton Street, Madison, WI 53706 1685, USA
    Neuroimage 18:198-213. 2003
  2. ncbi Weighted fourier series representation and its application to quantifying the amount of gray matter
    Moo K Chung
    Department of Statistics, Biostatistics, and Medical Informatics, and the Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53706, USA
    IEEE Trans Med Imaging 26:566-81. 2007
  3. ncbi Unified statistical approach to cortical thickness analysis
    Moo K Chung
    Department of Statistics, University of Wisconsin Madison, USA
    Inf Process Med Imaging 19:627-38. 2005
  4. ncbi Cortical thickness analysis in autism with heat kernel smoothing
    Moo K Chung
    Department of Statistics, University of Wisconsin, 1210 West Dayton Street, Madison, WI 53706, USA
    Neuroimage 25:1256-65. 2005
  5. ncbi Less white matter concentration in autism: 2D voxel-based morphometry
    Moo K Chung
    Department of Statistics, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 23:242-51. 2004
  6. ncbi A longitudinal study of motor performance and striatal [18F]fluorodopa uptake in Parkinson's disease
    Catherine L Gallagher
    William S Middleton Memorial Veterans Hospital, Madison, WI 53792, USA
    Brain Imaging Behav 5:203-11. 2011
  7. ncbi General multivariate linear modeling of surface shapes using SurfStat
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53705, USA
    Neuroimage 53:491-505. 2010
  8. ncbi Cortical surface thickness as a classifier: boosting for autism classification
    Vikas Singh
    Biostatistics and Medical Informatics, University of Wisconsin Madison, USA
    Med Image Comput Comput Assist Interv 11:999-1007. 2008
  9. ncbi Developmental sexual dimorphism of the oral and pharyngeal portions of the vocal tract: an imaging study
    Houri K Vorperian
    Waisman Center, Madison, WI, USA
    J Speech Lang Hear Res 54:995-1010. 2011
  10. ncbi Topological characterization of signal in brain images using min-max diagrams
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53706, USA
    Med Image Comput Comput Assist Interv 12:158-66. 2009

Detail Information

Publications31

  1. ncbi Deformation-based surface morphometry applied to gray matter deformation
    Moo K Chung
    Department of Statistics, University of Wisconsin, 1210 West Dayton Street, Madison, WI 53706 1685, USA
    Neuroimage 18:198-213. 2003
    ....
  2. ncbi Weighted fourier series representation and its application to quantifying the amount of gray matter
    Moo K Chung
    Department of Statistics, Biostatistics, and Medical Informatics, and the Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53706, USA
    IEEE Trans Med Imaging 26:566-81. 2007
    ..html. As an illustration, the WFS is applied i n quantifying the amount ofgray matter in a group of high functioning autistic subjects. Within the WFS framework, cortical thickness and gray matter density are computed and compared...
  3. ncbi Unified statistical approach to cortical thickness analysis
    Moo K Chung
    Department of Statistics, University of Wisconsin Madison, USA
    Inf Process Med Imaging 19:627-38. 2005
    ..As an illustration, we have applied the method in detecting the regions of abnormal cortical thickness in 16 high functioning autistic children...
  4. ncbi Cortical thickness analysis in autism with heat kernel smoothing
    Moo K Chung
    Department of Statistics, University of Wisconsin, 1210 West Dayton Street, Madison, WI 53706, USA
    Neuroimage 25:1256-65. 2005
    ..As an illustration, we apply our methods in detecting the regions of abnormal cortical thickness in 16 high functioning autistic children via random field based multiple comparison correction that utilizes the new smoothing technique...
  5. ncbi Less white matter concentration in autism: 2D voxel-based morphometry
    Moo K Chung
    Department of Statistics, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 23:242-51. 2004
    ..Further, it is shown that the less white matter concentration in the corpus callosum in autism is due to hypoplasia rather than atrophy...
  6. ncbi A longitudinal study of motor performance and striatal [18F]fluorodopa uptake in Parkinson's disease
    Catherine L Gallagher
    William S Middleton Memorial Veterans Hospital, Madison, WI 53792, USA
    Brain Imaging Behav 5:203-11. 2011
    ..These findings provide evidence that regional loss of nigrostriatal inputs to frontostriatal networks affects specific aspects of motor function...
  7. ncbi General multivariate linear modeling of surface shapes using SurfStat
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53705, USA
    Neuroimage 53:491-505. 2010
    ..The methodology has been applied for quantifying abnormal local amygdala shape variations in 22 high functioning autistic subjects...
  8. ncbi Cortical surface thickness as a classifier: boosting for autism classification
    Vikas Singh
    Biostatistics and Medical Informatics, University of Wisconsin Madison, USA
    Med Image Comput Comput Assist Interv 11:999-1007. 2008
    ..As a result, we obtain not just a label {+1, -1} for test items, but also an indication of the "discriminative regions" on the cortical surface. We discuss the formulation and present interesting experimental results...
  9. ncbi Developmental sexual dimorphism of the oral and pharyngeal portions of the vocal tract: an imaging study
    Houri K Vorperian
    Waisman Center, Madison, WI, USA
    J Speech Lang Hear Res 54:995-1010. 2011
    ..The purpose of this study is to examine developmental sex differences in vocal tract (VT) length and its oral and pharyngeal portions...
  10. ncbi Topological characterization of signal in brain images using min-max diagrams
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53706, USA
    Med Image Comput Comput Assist Interv 12:158-66. 2009
    ..As an application, we have used this method to characterize cortical thickness measures along brain surfaces in classifying autistic subjects. Our promising experimental results provide evidence of the power of this representation...
  11. ncbi Structural variations in prefrontal cortex mediate the relationship between early childhood stress and spatial working memory
    Jamie L Hanson
    Department of Psychology, University of Wisconsin Madison, Madison, Wisconsin 53706, USA
    J Neurosci 32:7917-25. 2012
    ..These results suggest that structural changes in the PFC may serve as a mediating mechanism through which greater cumulative life stress engenders decrements in cognitive functioning...
  12. ncbi Extracting quantitative measures from EAP: a small clinical study using BFOR
    A Pasha Hosseinbor
    University of Wisconsin Madison, Madison, WI, USA
    Med Image Comput Comput Assist Interv 15:280-7. 2012
    ..Although the sample size is small, this study is a proof of concept that can be extended to larger sample sizes in the future...
  13. ncbi A study of diffusion tensor imaging by tissue-specific, smoothing-compensated voxel-based analysis
    Jee Eun Lee
    Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, Madison, WI 53705, USA
    Neuroimage 44:870-83. 2009
    ..The T-SPOON method may be also applicable to other quantitative imaging maps such as T1 or T2 relaxometry, magnetization transfer, or PET tracer maps...
  14. ncbi Measurement consistency from magnetic resonance images
    Dongjun Chung
    Department of Statistics, University of Wisconsin Madison, Madison, WI 53705, USA
    Acad Radiol 15:1322-30. 2008
    ..In this work, we review various statistical techniques that can be used in determining measurement consistency. The focus is on detecting a possible measurement bias and determining the robustness of the procedures to outliers...
  15. ncbi Topology-based kernels with application to inference problems in Alzheimer's disease
    Deepti Pachauri
    Alzheimer s Disease Neuroimaging Initiative and Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    IEEE Trans Med Imaging 30:1760-70. 2011
    ....
  16. ncbi Efficient parametric encoding scheme for white matter fiber bundles
    Moo K Chung
    Waisman Laboratory for Brain Imaging and Behavior at the University of Wisconsin, Madison, WI, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:6644-7. 2009
    ..As an illustration, we apply the proposed method in characterizing abnormal tracts that pass through the splenium of the corpus callosum in autistic subjects...
  17. ncbi Developmental craniofacial anthropometry: Assessment of race effects
    Reid B Durtschi
    Waisman Center, University of Wisconsin Madison, Madison, Wisconsin 53705, USA
    Clin Anat 22:800-8. 2009
    ....
  18. ncbi Persistence diagrams of cortical surface data
    Moo K Chung
    Department of Biostatistics and Medical Informatics, University of Wisconsin, Madison, WI 53706, USA
    Inf Process Med Imaging 21:386-97. 2009
    ..As an illustration, we apply this method to a 1D simulated signal and 2D cortical thickness data. In case of the latter, extra homological structures are evident in an control group over the autistic group...
  19. ncbi Tensor-based cortical surface morphometry via weighted spherical harmonic representation
    Moo K Chung
    Department of Biostatistics and Medical Informatics, and the Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin, Madison, WI 53706, USA
    IEEE Trans Med Imaging 27:1143-51. 2008
    ..As an illustration, the methodology has been applied in the problem of detecting abnormal cortical regions in the group of high functioning autistic subjects...
  20. ncbi Bessel Fourier orientation reconstruction: an analytical EAP reconstruction using multiple shell acquisitions in diffusion MRI
    Ameer Pasha Hosseinbor
    University of Wisconsin Madison, Madison, WI, USA
    Med Image Comput Comput Assist Interv 14:217-25. 2011
    ..In addition to being analytical, the BFOR solution also includes an intrinsic exponential smootheing term. We illustrate the effectiveness of the proposed method by showing results on both synthetic and real MR datasets...
  21. ncbi Anatomic development of the oral and pharyngeal portions of the vocal tract: an imaging study
    Houri K Vorperian
    Waisman Center, University of Wisconsin Madison, Madison, Wisconsin 53705, USA
    J Acoust Soc Am 125:1666-78. 2009
    ..These data on the non-uniform growth of the vocal tract reveal anatomic differences that contribute to documented acoustic differences in prepubertal speech production...
  22. ncbi Rate of 6-[18F]fluorodopa uptake decline in striatal subregions in Parkinson's disease
    Catherine L Gallagher
    William S Middleton Memorial Veterans Hospital, Madison, Wisconsin 53792, USA
    Mov Disord 26:614-20. 2011
    ..Rate of decline in 6-L-[(18)F]fluorodopa (FDOPA) uptake within the striatum has been reported as showing regional differences in Parkinson's disease (PD)...
  23. ncbi Early stress is associated with alterations in the orbitofrontal cortex: a tensor-based morphometry investigation of brain structure and behavioral risk
    Jamie L Hanson
    Waisman Center, University of Wisconsin Madison, Madison, Wisconsin 53705, USA
    J Neurosci 30:7466-72. 2010
    ..These data suggest a biological mechanism linking early social learning to later behavioral outcomes...
  24. ncbi Automatic physiological waveform processing for FMRI noise correction and analysis
    Daniel J Kelley
    Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, University of Wisconsin, Madison, Wisconsin, United States of America
    PLoS ONE 3:e1751. 2008
    ..PhysioNoise consistently identifies physiological fluctuations for fMRI noise correction and also generates covariates for subsequent analyses of brain activation and connectivity...
  25. ncbi Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset
    Chris Hinrichs
    Department of Computer Sciences, University of Wisconsin Madison, Madison, WI 53706, USA
    Neuroimage 48:138-49. 2009
    ....
  26. ncbi Classification in DTI using shapes of white matter tracts
    Nagesh Adluru
    Dept of Psychology, Brigham Young Univ, UT, USA
    Conf Proc IEEE Eng Med Biol Soc 2009:2719-22. 2009
    ....
  27. ncbi Estimating head circumference from pediatric imaging studies an improved method
    Houri K Vorperian
    Waisman Center, University of Wisconsin Madison, 1500 Highland Avenue, Room 430, Madison, WI 53705, USA
    Acad Radiol 14:1102-7. 2007
    ..Unlike former approaches, the model takes into account the fact that growth is nonlinear, and that HC growth rates are sexually dimorphic...
  28. ncbi Integrating VBM into the General Linear Model with voxelwise anatomical covariates
    Terrence R Oakes
    Waisman Laboratory for Brain Imaging and Behavior, University of Wisconsin Madison, Rm T 133, Waisman Center, 1500 Highland Ave, Madison, WI 53705, USA
    Neuroimage 34:500-8. 2007
    ..In either case, ignoring the readily available structural information can lead to misinterpretation of functional results...
  29. ncbi Bessel Fourier Orientation Reconstruction (BFOR): an analytical diffusion propagator reconstruction for hybrid diffusion imaging and computation of q-space indices
    A Pasha Hosseinbor
    Department of Medical Physics, University of Wisconsin Madison, Madison, WI, USA
    Neuroimage 64:650-70. 2013
    ..Three such measures are computed: zero-displacement probability (Po), mean squared displacement (MSD), and generalized fractional anisotropy (GFA)...
  30. ncbi Quantitative analysis of diffusion tensor orientation: theoretical framework
    Yu-Chien Wu
    Department of Medical Physics, University of Wisconsin, Madison 53705, USA
    Magn Reson Med 52:1146-55. 2004
    ..This novel approach distills the rich, 3D information available from the diffusion tensor into a form that lends itself to quantitative analysis and statistical hypothesis testing...
  31. ncbi Diffusion tensor imaging of white matter in the superior temporal gyrus and temporal stem in autism
    Jee Eun Lee
    Waisman Laboratory for Brain Imaging and Behavior, Waisman Center, Madison, WI, United States
    Neurosci Lett 424:127-32. 2007
    ..These results suggest that white matter microstructure in autism is abnormal in these temporal lobe regions, which is consistent with theories of aberrant brain connectivity in autism...