Analysis of metaphase chromosomes. D. Sudar et al. use medial axes to map locations along images of chromosome structures. Anatomical modeling research, Rick Miranda, Colorado State. Miranda's part in this study is finding optimal triangulations to reconstruct surfaces by joining parallel contours. Annotated bibliography on medical imaging, H.-G. Park, Air Force Inst. Tech. Central path algorithm. Y.R. Ge and D. Stelts use medial axes to find paths along the central line of the intestinal system as part of a virtual endoscopy system for non-invasive medical diagnosis. Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Anatomical modeling research, Rick Miranda, Colorado State. Miranda's part in this study is finding optimal triangulations to reconstruct surfaces by joining parallel contours. Annotated bibliography on medical imaging, H.-G. Park, Air Force Inst. Tech. Central path algorithm. Y.R. Ge and D. Stelts use medial axes to find paths along the central line of the intestinal system as part of a virtual endoscopy system for non-invasive medical diagnosis. Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Pre imagegeometry

Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Part of Geometry in Action, a collection of applications of computational geometry. David Eppstein, Theory Group, ICS, UC Irvine. Semi-automatically filtered from a common source file.

Imagegeometryexample

Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Annotated bibliography on medical imaging, H.-G. Park, Air Force Inst. Tech. Central path algorithm. Y.R. Ge and D. Stelts use medial axes to find paths along the central line of the intestinal system as part of a virtual endoscopy system for non-invasive medical diagnosis. Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

3d reconstruction home page, NASA Ames Biocomputation Center. Analysis of metaphase chromosomes. D. Sudar et al. use medial axes to map locations along images of chromosome structures. Anatomical modeling research, Rick Miranda, Colorado State. Miranda's part in this study is finding optimal triangulations to reconstruct surfaces by joining parallel contours. Annotated bibliography on medical imaging, H.-G. Park, Air Force Inst. Tech. Central path algorithm. Y.R. Ge and D. Stelts use medial axes to find paths along the central line of the intestinal system as part of a virtual endoscopy system for non-invasive medical diagnosis. Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources. Part of Geometry in Action, a collection of applications of computational geometry. David Eppstein, Theory Group, ICS, UC Irvine. Semi-automatically filtered from a common source file.

Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Imagegeometrydefinition

US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Medical Imaging A key problem in medical computation is reconstruction of shapes (of organs, bones, tumors etc) from lower dimensional information such as CAT scans and sonograms. The CAT scan information is originally one-dimensional, but is transformed into two-dimensional slices by signal processing techniques. However the reconstruction of three-dimensional shapes from slices becomes a more geometric problem, which can be abstracted as that of finding a surface connecting a collection of contour lines or data points. A different problem relates to compression of medical images for transmission and storage; this differs from most other applications of image compression in that little or no loss of information can be tolerated. 3d reconstruction home page, NASA Ames Biocomputation Center. Analysis of metaphase chromosomes. D. Sudar et al. use medial axes to map locations along images of chromosome structures. Anatomical modeling research, Rick Miranda, Colorado State. Miranda's part in this study is finding optimal triangulations to reconstruct surfaces by joining parallel contours. Annotated bibliography on medical imaging, H.-G. Park, Air Force Inst. Tech. Central path algorithm. Y.R. Ge and D. Stelts use medial axes to find paths along the central line of the intestinal system as part of a virtual endoscopy system for non-invasive medical diagnosis. Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources. Part of Geometry in Action, a collection of applications of computational geometry. David Eppstein, Theory Group, ICS, UC Irvine. Semi-automatically filtered from a common source file.

Central path algorithm. Y.R. Ge and D. Stelts use medial axes to find paths along the central line of the intestinal system as part of a virtual endoscopy system for non-invasive medical diagnosis. Computer Aided Geometric Design, special issue on Medical Visualization, call for papers. Deadline is Jan 31, 1997. Fractal analysis of trabecular bone. M. L Richardson and T. Gillesby discuss algorithms for automatically estimating fractal dimension, and their use in modeling bone tissue. Bernhard Geiger of INRIA works on problems of surface reconstruction in medical imaging. Human organs in polygonal slice format, Gil Barequet, Tel Aviv U. Level set methods for following the evolution of interfaces, J. Sethian, Berkeley. The basic idea is to solve various "advancing front" type problems such as finding shortest paths around obstacles, by evolving a surface in one higher dimension that describes the dynamics of the front. Includes movies and Java applets describing applications to VLSI design, medical image processing, noise removal from images, and robot motion planning. Medical Image Volume Visualization Software FAQ. Medical imaging links, M. Joppe, Bremen. Pneumonea and tuberculosis diagnosis. Jason Everhart of Los Alamos uses convex hulls as part of a heuristic for estimating the percentage of lung volume occupied by a pneumonea infection. This initial guess of the lung contour is then iteratively refined to a more accurate representation. Processing and display of medical three dimensional arrays of numerical data using octree encoding, Amans and Darrier, Proc. SPIE, 1985. Shape-Based 4D Left Ventricular Myocardial Function Analysis. P. Shi, A. Amini, G. Robinson, A. Sinusas, C.T. Constable, and J. Duncan, Yale U. Reconstructs heart membranes by triangulation of contours. Their version of the problem is complicated by the extra dimension of time-varying data. Shape reconstruction software from Nina Amenta's CG software directory. Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.

Skeleton and boundary extraction. Glynn Robinson of Yale overlays the Delaunay triangulation and Voronoi diagram of points sampled from a surface (the boundary between different features in a medical image) and somehow extracts from them subsets representing the surface itself and its medial axis. US Patent 5463721 describes the use of convex hulls in a method for finding a path for a radiation-beam scanner so it can get enough data to reconstruct object shapes. Patents 4888693, 4969110, and 5053958 also use convex hulls for computerized tomography. Yahoo directory of Medical Imaging resources.