Abstract | ||
---|---|---|
High-resolution micro-computed tomography (CT) scanners now exist for imaging small animals. In particular, such a scanner can generate very large three-dimensional (3-D) digital images of the rat's hepatic vasculature. These images provide data on the overall structure and function of such complex vascular trees. Unfortunately, human operators have extreme difficulty in extracting the extensive v... |
Year | DOI | Venue |
---|---|---|
2000 | 10.1109/42.887843 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Rats,Data mining,Computed tomography,High-resolution imaging,Digital images,Animal structures,Humans,Information analysis,Information retrieval,Personal communication networks | Iterative reconstruction,Computer vision,Structure and function,Digital image,Feature extraction,Tomography,Artificial intelligence,Scanner,Mathematics,Hepatic vasculature,Computation | Journal |
Volume | Issue | ISSN |
19 | 9 | 0278-0062 |
Citations | PageRank | References |
16 | 1.55 | 3 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shu-Yen Wan | 1 | 105 | 11.61 |
atilla peter kiraly | 2 | 47 | 9.16 |
Ritman, E.L. | 3 | 56 | 9.11 |
William E. Higgins | 4 | 648 | 63.98 |