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MINERVA GROUP @ Georgia TechPeople involved with NAMIC

Professor Allen TannenbaumStudents:

Ramsey Al-Hakim Jimi Malcolm John Melonakos Delphine Nain Eric Pichon Yogesh Rathi

http://www.bme.gatech.edu/groups/bil/

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Research Topics in our GroupTopics relevant to NAMIC:

PDE’s for image processing Variational and Statistical methods for

Segmentation and Registration Shape analysis Stochastic Curve/Surface Evolution

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Year 1: SegmentationStatistical 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

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Year 1: Image SmoothingImage 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.

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Years 1&2Shape Analysis (Delphine Nain)

Statistical Segmentation & Registration (John Melonakos, Ramsey Al-Hakim, Jimi Malcolm)