Particle UNC Utah

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Introduction

This training seminar has as major goal keep the scientific community up-to-date with the latest extensions of ShapeWorks, and with practical information of usage, potential applications, and future development.

Date

Shape and Stats seminar series March 16th, 2012 3pm - 4pm

Outline

  1. Basic particle correspondence review
  2. Extensions
    1. Generalized correspondence
    2. Adaptive sampling
    3. Geodesic distances
    4. Normal consistency
    5. Open surfaces
    6. Multi-object complexes
    7. Regression
  3. Initialization methods
  4. Applications
  5. Open discusion
  6. Future work

Location

Talk will be held at Sitterson Hall, room 248 in the University of North Carolina at Chapel Hill campus, Chapel Hill (NC)

Presenters

  • Ipek Oguz, Ph.D., University of North Carolina at Chapel Hill
  • Beatriz Paniagua, Ph.D., University of North Carolina at Chapel Hill

Talk contents(ppt)

Slides

Other Resources

  • Combined SPHARM-PDM and entropybased particle systems shape correspondence methodology, B Paniagua, L Bompard, J Cates, RT Whitaker, M Datar, C Vachet, MA Styner, SPIE Medical Imaging (SPIE 2012)
  • Group-wise Automatic Mesh-based Analysis of Cortical Thickness, Vachet, C., Hazlett, H., Niethammer, M., Oguz, I., Cates, J., Whitaker, R., Piven, J., Styner, M., Proc. SPIE 2011
  • Geometric correspondence for ensembles of nonregular shapes. M Datar, Y Gur, B Paniagua, M Styner et al. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2011 (2011)
  • Particle based shape regression of open surfaces with applications to developmental neuroimaging. M Datar, J Cates, P Fletcher, S Gouttard, G Gerig, R Whitaker. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009 (2009) pp. 167-174
  • Particle based shape regression of open surfaces with applications to developmental neuroimaging. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2009 (2009) pp: 167–174.
  • Particle-based shape analysis of multi-object complexes. J Cates, P Fletcher, M Styner, H Hazlett. Medical Image Computing and Computer-Assisted Intervention–MICCAI 2008 (2008)
  • Cortical correspondence using entropy-based particle systems and local features. I Oguz, J Cates, T Fletcher, R Whitaker, D Cool, S Aylward, M Styner. Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on DOI - 10.1109/ISBI.2008.4541327 (2008) pp. 1637-1640
  • Shape modeling and analysis with entropy-based particle systems. J Cates, PT Fletcher, M Styner, M Shenton, R Whitaker. Lecture Notes in Computer Science (2007) vol. 4584 pp. 333
  • Entropy-based particle systems for shape correspondence. J Cates, PT Fletcher, R Whitaker. MICCAI Workshop Mathematical Foundations of Computational Anatomy (2006) pp. 90-99
  • Robust particle systems for curvature dependent sampling of implicit surfaces. M Meyer, P Georgel, R Whitaker. Shape Modeling and Applications, 2005 International Conference (2005) pp. 124 - 133

Particle Community

  • Josh Cates ( cates_AT_sci.utah.edu )
  • Ross Whitaker ( whitaker_AT_sci.utah.edu )
  • Manasi Datar ( datar_AT_sci.utah.edu )
  • Tom Fletcher ( fletcher_AT_sci.utah.edu )
  • Martin Styner ( styner_AT_cs.unc.edu )
  • Clement Vachet ( cvachet_AT_unc.edu, soon will move to Utah)
  • Ipek Oguz ( ipek_AT_cs.unc.edu )
  • Beatriz Paniagua ( beatriz_paniagua_AT_med.unc.edu )
  • NA-MIC ( http://www.na-mic.org/ )