Staff Computer Scientist at the Lawrence Berkeley National Laboratory
A movie depicting the reconstruction of human thighs and the thigh bone (femur) from a three dimensional CT image; the simulation is started by placing a collection of spherical blobs in the image domain.
The second movie shows the evolutionary stages in the reconstruction of an image corrupted with noise; another example showing stages in denoising a medical image.
The third movie depicts the reconstruction of heart chambers from a three dimensional image. Initial configuration in this case corresponds to a set of ellipsoids.
The fourth movie shows chambers of a beating heart along with the change in volume and surface area (click here). These surfaces were reconstructed from a time sequence of three dimensional images.
Finally, here is a movie depicting the reconstruction of the complete cortical structure of the human brain. The reconstruction is done from MRI data. Reconstruction results (outer skin and the brain shape) based on this work have appeared on the cover of May-June, 1997 issue of the American Scientist.
Segmentation of liver, spleen, and lung shapes are shown here. User initialization and visualization of the curves and surfaces was done using the VTK environment.
R. Malladi and J.A. Sethian, ``A Real-Time Algorithm for Medical Shape Recovery,'' in Proceedings of International Conference on Computer Vision, pp. 304-310, Mumbai, India, January 1998. Download
R. Malladi and J.A. Sethian, ``Shape Modeling in Medical Images with Marching Methods,'' Report LBNL-39541, Lawrence Berkeley National Laboratory, University of California, Berkeley, October 1996.
R. Malladi and J.A. Sethian, ``An O(N log(N)) Algorithm for Shape Modeling,'' in Proceedings of National Academy of Sciences, USA, Vol. 93, pp. 9389-9392, Sept. 1996.
R. Malladi and J.A. Sethian, ``Level Set Methods for Curvature Flow, Image Enchancement, and Shape Recovery in Medical Images, in Visualization and Mathematics, Eds. H. C. Hege, K. Polthier, pp. 329-345, Springer Verlag, Heidelberg, May 1997.
R. Malladi and J.A. Sethian, ``A Unified Approach to Noise Removal, Image Enhancement, and Shape Recovery,'' in IEEE Transactions on Image Processing, Vol. 5(11), pp. 1554-1568, Nov. 1996.
R. Malladi and J.A. Sethian, ``Image Processing: Flows under Min/Max Curvature and Mean Curvature,'' in Graphical Models and Image Processing, Vol. 58(2), pp. 127-141, March 1996.
R. Malladi, J.A. Sethian, and B.C. Vemuri, ``Shape Modeling with Front Propagation: A Level Set Approach,'' in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 17(2), pp. 158-175, Feb. 1995.
R. Kimmel, R. Malladi, and N. Sochen, ``Images as Embedded Maps and Minimal Surfaces: Movies, Color, and Volumetric Medical Images,'' in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 350-355, Puerto Rico, June 1997. Download
R. Kimmel, R. Malladi, and N. Sochen, ``Image Processing via the Beltrami Operator,'' in Proceedings of Asian Conference on Computer Vision, LNCS Vol. 1351, pp. 574-581, Hong Kong, January 1998. Download
N. Sochen, R. Kimmel, and R. Malladi, ``A General Framework for Low Level Vision,'' in IEEE Transactions on Image Processing, special issue on PDEs and Geometry-Driven Diffusion in Image Processing and Analysis, Vol. 7(3), pp. 310-318, March 1998. Download
R. Kimmel, R. Malladi, and N. Sochen, ``Images as Embedded Maps and Minimal Surfaces: Movies, Color, Texture, and Volumetric Medical Images,'' in the International Journal of Computer Vision , Vol. 39(2), pp. 111-129, 2000. Download
A. Sarti, C. Ortiz de Solorzano, S. Lockett, and R. Malladi, ``A Geometric Model for 3-D Confocal Image Analysis,'' in IEEE Transactions on Biomedical Engineering, Vol. 47(12), pp. 1600-1609, December 2000. Download
C. Ortiz de Solorzano, R. Malladi, S. A. Lelievre, S. Lockett, ``Segmentation of Nuclei and Cells using Membrane Related Protein Markers,'' in the Journal of Microscopy, Vol. 201, Pt 3, pp. 404-415, March 2001.
A. Sarti, R. Malladi, and J.A. Sethian, ``Subjective Surfaces: A Geometric Model for Boundary Completion,'' to appear in the International Journal of Computer Vision, 2002. Download
