Mika Seppa

Summary

Affiliation: Helsinki University of Technology
Country: Finland

Publications

  1. ncbi Visualizing human brain surface from T1-weighted MR images using texture-mapped triangle meshes
    Mika Seppa
    Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, Espoo, Finland
    Neuroimage 26:1-12. 2005
  2. ncbi High-quality two-stage resampling for 3-D volumes in medical imaging
    Mika Seppa
    Brain Research Unit, Low Temperature Laboratory, P O BOX 2200, FIN 02015 HUT, Espoo, Finland
    Med Image Anal 11:346-60. 2007
  3. ncbi Evaluation of voxel-based group-level analysis of diffusion tensor images using simulated brain lesions
    Jaana Hiltunen
    Brain Research Unit, Low Temperature Laboratory, Aalto University School of Science, P O Box 15100, 00076 Aalto, Finland
    Neurosci Res 71:377-86. 2011
  4. ncbi Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T
    Jaana Hiltunen
    Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, P O BOX 2200, 02015 Espoo, HUT, Finland
    Clin Neurophysiol 116:2315-23. 2005
  5. ncbi Functional subdivision of group-ICA results of fMRI data collected during cinema viewing
    Siina Pamilo
    Brain Research Unit, OV Lounasmaa Laboratory, School of Science, Aalto University, Espoo, Finland
    PLoS ONE 7:e42000. 2012
  6. ncbi Common cortical network for first and second pain
    Nina Forss
    Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, FIN 02015 HUT, Espoo, Finland
    Neuroimage 24:132-42. 2005

Detail Information

Publications6

  1. ncbi Visualizing human brain surface from T1-weighted MR images using texture-mapped triangle meshes
    Mika Seppa
    Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, Espoo, Finland
    Neuroimage 26:1-12. 2005
    ..Furthermore, other OpenGL objects and techniques can be easily combined, for example, to use cut planes, to show other surfaces and objects, and to visualize functional data in addition to the anatomical information...
  2. ncbi High-quality two-stage resampling for 3-D volumes in medical imaging
    Mika Seppa
    Brain Research Unit, Low Temperature Laboratory, P O BOX 2200, FIN 02015 HUT, Espoo, Finland
    Med Image Anal 11:346-60. 2007
    ..Furthermore, for repeated uses, only the second stage is recalculated allowing an increase in performance for motion correction applications in functional magnetic resonance imaging (fMRI), for example...
  3. ncbi Evaluation of voxel-based group-level analysis of diffusion tensor images using simulated brain lesions
    Jaana Hiltunen
    Brain Research Unit, Low Temperature Laboratory, Aalto University School of Science, P O Box 15100, 00076 Aalto, Finland
    Neurosci Res 71:377-86. 2011
    ..Our results provide insight into the sizes and intensity changes of lesions that can be detected with VBA applied to diffusion tensor imaging (DTI) data...
  4. ncbi Diffusion tensor imaging and tractography of distal peripheral nerves at 3 T
    Jaana Hiltunen
    Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, P O BOX 2200, 02015 Espoo, HUT, Finland
    Clin Neurophysiol 116:2315-23. 2005
    ..We studied whether distal peripheral nerves could be imaged using quantitative diffusion tensor imaging (DTI) with a 3-T MRI scanner, and visualized using tractography...
  5. ncbi Functional subdivision of group-ICA results of fMRI data collected during cinema viewing
    Siina Pamilo
    Brain Research Unit, OV Lounasmaa Laboratory, School of Science, Aalto University, Espoo, Finland
    PLoS ONE 7:e42000. 2012
    ..These results improve our understanding of the hierarchical subdivision of brain networks during viewing of a movie that provides continuous stimulation embedded in an attention-directing narrative...
  6. ncbi Common cortical network for first and second pain
    Nina Forss
    Brain Research Unit, Low Temperature Laboratory, Helsinki University of Technology, FIN 02015 HUT, Espoo, Finland
    Neuroimage 24:132-42. 2005
    ..Reliable temporospatial characterization of cortical responses to first and second pain offers a unique tool for basic and clinical neuroscience to study the two distinctive pain fiber systems at cortical level...