1. Image Segmentation of Bone Density Images Rebecca Kamins

2. Quick Overview  Trying to find a deconvlution algorithm that will give us the real image.  g(x,y)= f(x,y)*h(x,y)+n(x,y)  We took a PSF (represents blur in a micro CT scanner) and altered it 3 ways.  Deconvolved the images using each PSF and analyzed the results

3. Results  Symmetrically rotated Gaussian PSF yielded the best results  Circular PSF good too- not the best

4. Future  Create 3D volume estimates of the mouse bones  Use pattern recognition to determine genetic trends in mice with bone loss  Write a code to be implemented in a micro CT scanner

5. Acknowledgements  Dr. John Daponte  Megan Damon  Michael Clark  Thomas Sadowski  Charles Tirrell  NASA SHARP  NASA GISS  SCSU