Difference between revisions of "Projects:WaveletShrinkage"
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| + | Shape analysis has become a topic of interest in medical imaging since local variations of a shape could carry relevant information about a disease that may affect only a portion of an organ. We developed a novel wavelet-based denoising and compression statistical model for 3D shapes. | ||
= Key Investigators = | = Key Investigators = | ||
Revision as of 19:35, 28 April 2008
Home < Projects:WaveletShrinkageBack to NA-MIC Collaborations, Georgia Tech Algorithms
Wavelet Shrinkage for Shape Analysis
Description
Shape analysis has become a topic of interest in medical imaging since local variations of a shape could carry relevant information about a disease that may affect only a portion of an organ. We developed a novel wavelet-based denoising and compression statistical model for 3D shapes.
Key Investigators
- Georgia Tech: Xavier Le Faucheur, Allen Tannenbaum, Delphine Nain
Publications
In press
- Bayesian Spherical Wavelet Shrinkage:Applications to shape analysis, X. Le Faucheur, B. Vidakovic, A. Tannenbaum, Proc. of SPIE Optics East, 2007.
