D S Meier

Summary

Affiliation: Harvard University
Country: USA

Publications

  1. ncbi Parameter space warping: shape-based correspondence between morphologically different objects
    Dominik Meier
    Whitaker Biomedical Imaging Laboratory, Department of Biomedical Engineering, Cleveland Clinic Foundation, OH 44195, USA
    IEEE Trans Med Imaging 21:31-47. 2002
  2. ncbi MR imaging intensity modeling of damage and repair in multiple sclerosis: relationship of short-term lesion recovery to progression and disability
    D S Meier
    Department of Radiology, Center for Neurological Imaging, Multiple Sclerosis Center, Brigham and Women s Hospital, Harvard Medical School, Boston MA 02115, USA
    AJNR Am J Neuroradiol 28:1956-63. 2007
  3. ncbi Time-series modeling of multiple sclerosis disease activity: a promising window on disease progression and repair potential?
    Dominik S Meier
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
    Neurotherapeutics 4:485-98. 2007
  4. ncbi MRI time series modeling of MS lesion development
    Dominik S Meier
    Center for Neurological Imaging, Brigham and Women s Hospital, 221 Longwood Avenue, RF 396, Boston, MA 02115, USA
    Neuroimage 32:531-7. 2006
  5. ncbi Atlas-based anatomic labeling in neurodegenerative disease via structure-driven atlas warping
    Dominik S Meier
    Center for Neurological Imaging, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
    J Neuroimaging 15:16-26. 2005
  6. ncbi Magnetic resonance imaging surrogates of multiple sclerosis pathology and their relationship to central nervous system atrophy
    Dominik S Meier
    Center for Neurological Imaging, Partners Multiple Sclerosis Center, Brigham and Women s Hospital, Harvard Medical School, 221 Longwood Avenue, RFB 396, Boston, MA 02115, USA
    J Neuroimaging 14:46S-53S. 2004
  7. ncbi Time-series analysis of MRI intensity patterns in multiple sclerosis
    Dominik S Meier
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, 221 Longwood Avenue, RFB 396, Boston, MA, 02115, USA
    Neuroimage 20:1193-209. 2003
  8. ncbi Seasonal prevalence of MS disease activity
    D S Meier
    Center for Neurological Imaging, Brigham and Women s Hospital, 221 Longwood Avenue, RF396, Boston, MA 02115, USA
    Neurology 75:799-806. 2010
  9. ncbi Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data
    M P Sampat
    Center for Neurological Imaging, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    AJNR Am J Neuroradiol 30:1731-9. 2009
  10. ncbi Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis
    Y Duan
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    AJNR Am J Neuroradiol 29:340-6. 2008

Collaborators

Detail Information

Publications12

  1. ncbi Parameter space warping: shape-based correspondence between morphologically different objects
    Dominik Meier
    Whitaker Biomedical Imaging Laboratory, Department of Biomedical Engineering, Cleveland Clinic Foundation, OH 44195, USA
    IEEE Trans Med Imaging 21:31-47. 2002
    ..Results demonstrated substantial improvements of 2%-33% in correspondence accuracy and 15%-59% in correspondence quality compared with direct registration methods...
  2. ncbi MR imaging intensity modeling of damage and repair in multiple sclerosis: relationship of short-term lesion recovery to progression and disability
    D S Meier
    Department of Radiology, Center for Neurological Imaging, Multiple Sclerosis Center, Brigham and Women s Hospital, Harvard Medical School, Boston MA 02115, USA
    AJNR Am J Neuroradiol 28:1956-63. 2007
    ..With the use of time-series modeling of MR imaging intensity, our study relates the short-term dynamics of new T2 lesion formation to those of contrast enhancement and markers of long-term progression of disease...
  3. ncbi Time-series modeling of multiple sclerosis disease activity: a promising window on disease progression and repair potential?
    Dominik S Meier
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
    Neurotherapeutics 4:485-98. 2007
    ....
  4. ncbi MRI time series modeling of MS lesion development
    Dominik S Meier
    Center for Neurological Imaging, Brigham and Women s Hospital, 221 Longwood Avenue, RF 396, Boston, MA 02115, USA
    Neuroimage 32:531-7. 2006
    ..Concentric patterns of dynamic properties within a lesion were observed, consistent with concentric histological appearance of resulting MS plaques...
  5. ncbi Atlas-based anatomic labeling in neurodegenerative disease via structure-driven atlas warping
    Dominik S Meier
    Center for Neurological Imaging, Brigham and Women s Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
    J Neuroimaging 15:16-26. 2005
    ..The self-validation demonstrated good structural overlap, with substantial improvement over established methods, such as Talairach spatial normalization...
  6. ncbi Magnetic resonance imaging surrogates of multiple sclerosis pathology and their relationship to central nervous system atrophy
    Dominik S Meier
    Center for Neurological Imaging, Partners Multiple Sclerosis Center, Brigham and Women s Hospital, Harvard Medical School, 221 Longwood Avenue, RFB 396, Boston, MA 02115, USA
    J Neuroimaging 14:46S-53S. 2004
    ..By exploiting the complementary nature and varying sensitivities of these magnetic resonance imaging surrogates, it is possible to create a more comprehensive picture of the degenerative process of multiple sclerosis...
  7. ncbi Time-series analysis of MRI intensity patterns in multiple sclerosis
    Dominik S Meier
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, 221 Longwood Avenue, RFB 396, Boston, MA, 02115, USA
    Neuroimage 20:1193-209. 2003
    ..4% +/- 0.5% was observed across multiple subjects and time points, indicating an overall sensitivity of 3% (for axial dual echo images with 3-mm slice thickness) for longitudinal study of signal dynamics from serial brain MRI...
  8. ncbi Seasonal prevalence of MS disease activity
    D S Meier
    Center for Neurological Imaging, Brigham and Women s Hospital, 221 Longwood Avenue, RF396, Boston, MA 02115, USA
    Neurology 75:799-806. 2010
    ....
  9. ncbi Regional white matter atrophy--based classification of multiple sclerosis in cross-sectional and longitudinal data
    M P Sampat
    Center for Neurological Imaging, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    AJNR Am J Neuroradiol 30:1731-9. 2009
    ....
  10. ncbi Segmentation of subtraction images for the measurement of lesion change in multiple sclerosis
    Y Duan
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    AJNR Am J Neuroradiol 29:340-6. 2008
    ....
  11. ncbi Can MRI reveal phenotypes of multiple sclerosis?
    Charles R G Guttmann
    Center for Neurological Imaging, Department of Radiology, Brigham and Women s Hospital, Harvard Medical School, Boston, MA 02115, USA
    Magn Reson Imaging 24:475-81. 2006
    ..In conjunction with clinical, immunological, serological and genetic information, clusters of MS patients with distinct clinical prognosis and diverse response profiles to available and future treatments may be identified...
  12. ncbi Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRI
    Ying Wu
    Center for Neurological Imaging, Departments of Radiology and Neurology, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue RF394A, Boston, MA 02115, USA
    Neuroimage 32:1205-15. 2006
    ..Enhancing lesions were segmented with the best sensitivity (81.9%). "Black holes" were segmented with the least sensitivity (62.3%). CONCLUSION: 3ch-TDS+ is a promising method for automated segmentation of MS lesion subtypes...