Name
Abstract | ||
|---|---|---|
A new methodology is presented for digital eversion of a hollow structure. The digital eversion is advantageous for better visualization of a larger portion of the inner surface with preservation of geometric relationship and without time-consuming navigation. Together with other techniques, digital eversion may help improve screening, diagnosis, surgical planning, and medical education. Two eversion algorithms are proposed and evaluated in numerical simulation to demonstrate the feasibility of the approach. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1155/2008/763028 | Int. J. Biomedical Imaging |
Keywords | Field | DocType |
larger portion,better visualization,medical education,new methodology,inner surface,numerical simulation,digital eversion,geometric relationship,virtual colonography,eversion algorithm,hollow structure | Data mining,Computer vision,Surgical planning,Engineering drawing,Computer simulation,Visualization,Computer science,Artificial intelligence | Journal |
Volume | ISSN | Citations |
2008 | 1687-4188 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Zhao | 1 | 92 | 16.79 |
| Liji Cao | 2 | 1 | 0.81 |
| Tiange Zhuang | 3 | 83 | 6.87 |
| Ge Wang | 4 | 1000 | 142.51 |