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MINERVA GROUP @ Georgia Tech

MINERVA GROUP @ Georgia Tech. People involved with NAMIC Professor Allen Tannenbaum Students: Ramsey Al-Hakim Jimi Malcolm John Melonakos Delphine Nain Eric Pichon Yogesh Rathi. http://www.bme.gatech.edu/groups/bil/. Research Topics in our Group. Topics relevant to NAMIC:

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MINERVA GROUP @ Georgia Tech

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  1. MINERVA GROUP @ Georgia Tech • People involved with NAMIC • Professor Allen Tannenbaum • Students: • Ramsey Al-Hakim • Jimi Malcolm • John Melonakos • Delphine Nain • Eric Pichon • Yogesh Rathi http://www.bme.gatech.edu/groups/bil/

  2. Research Topics in our Group • Topics relevant to NAMIC: • PDE’s for image processing • Variational and Statistical methods for Segmentation and Registration • Shape analysis • Stochastic Curve/Surface Evolution

  3. Year 1: Segmentation • Statistical Region Growing (Eric Pichon, in Slicer “FastMarching” Module) • Unidirectional evolution allows for fast implementation (“Fast Marching”) • Principled general purpose approach. Use Parzen windows to estimate probability density function. (Using non-parametric statistics means no assumption on data) Real MRI, comparison with manual segmentations (Surgical Planning Lab) Eric Pichon, Allen Tannenbaum, and Ron Kikinis. A statistically based flow for image segmentation. Medical Image Analysis, 8(3):267-274, September 2004

  4. Year 1: Image Smoothing • Image Smooth (Yogesh Rathi, in Slicer) • 2D and 3D smoothing of images performed using the geometric heat equation, where level lines of the image are smoothed according to their curvature (kappa). • Kappa raised to the 1/3 performs smoothing for each of the slices, 'slice-by-slice'. • Kappa raised to the 1/4 performs smoothing in the z-direction as well, hence it is more accurate.

  5. Years 1&2 • Shape Analysis (Delphine Nain) • Statistical Segmentation & Registration (John Melonakos, Ramsey Al-Hakim, Jimi Malcolm)

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