Name
Abstract | ||
|---|---|---|
We have developed a method for extracting anatomical shape models from n-dimensional images using an image analysis framework we call Shells and Spheres. This framework utilizes a set of spherical operators centered at each image pixel, grown to reach, but not cross, the nearest object boundary by incorporating "shells" of pixel intensity values while analyzing intensity mean, variance, and first-order moment. Pairs of spheres on opposite sides of putative boundaries are then analyzed to determine boundary reflectance which is used to further constrain sphere size, establishing a consensus as to boundary location. The centers of a subset of spheres identified as medial (touching at least two boundaries) are connected to identify the interior of a particular anatomical structure. For the automated 3D algorithm, the only manual interaction consists of tracing a single contour on a 2D slice to optimize parameters, and identifying an initial point within the target structure. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1155/2010/980872 | Int. J. Biomedical Imaging |
Keywords | Field | DocType |
n-dimensional image,boundary location,boundary reflectance,pixel intensity value,n-dimensional framework,image pixel,medial-based image segmentation,particular anatomical structure,nearest object boundary,anatomical shape model,putative boundary,image analysis framework | Computer vision,Computer science,Image segmentation,Artificial intelligence,SPHERES,Pixel,Operator (computer programming),Reflectivity,Tracing | Journal |
Volume | ISSN | Citations |
2010 | 1687-4196 | 1 |
PageRank | References | Authors |
0.40 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aaron Cois | 1 | 10 | 1.75 |
| J.M. Galeotti | 2 | 75 | 13.90 |
| Robert Tamburo | 3 | 1 | 0.40 |
| Michael Sacks | 4 | 1 | 0.40 |
| George D. Stetten | 5 | 146 | 22.70 |