Name
Abstract | ||
|---|---|---|
Recently, mufti-slice helical CT technology was developed. Unlike the conventional helical CT, we can obtain CT images of two or more slices with 1 time of scan. Therefore, we can get many pictures with a clear contrast images and thin slice images in one time of scanning. The nodule is expected to be picture more clearly, and it is expected an high diagnostic ability of screening by the expert physicians. Mufti-slice CT is z-axial high-contrast resolution, but the number of images is 10 times the single-slice helical CT. Therefore, the development of a diagnosis support system is expected to diagnose these images. We have developed a computer aided diagnosis (CAD) system to detect the lung cancer from mufti-slice CT images. Using the conventional algorithm, it was difficult to detect the ground glass shadow and the nodules in contact with the blood vessel. The purpose of this study is to develop a detection algorithm using the 3-D filter by orientation map of gradient vectors and the 3-D distance transformation. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1117/12.467099 | Proceedings of SPIE |
Keywords | Field | DocType |
multi-slice CT images,CAD system,lung cancer,gradient vectors | Lung cancer,CAD,Computer vision,Computer science,Support system,Computer-aided diagnosis,Multislice,Algorithm,Artificial intelligence,Cad system,Medical diagnostics | Conference |
Volume | ISSN | Citations |
4684 | 0277-786X | 4 |
PageRank | References | Authors |
0.48 | 0 | 12 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| tomokazu oda | 1 | 10 | 0.98 |
| Mitsuru Kubo | 2 | 89 | 22.51 |
| Yoshiki Kawata | 3 | 192 | 54.44 |
| Noboru Niki | 4 | 188 | 66.10 |
| Kenji Eguchi | 5 | 129 | 42.78 |
| Hironobu Ohmatsu | 6 | 138 | 45.23 |
| Ryutaro Kakinuma | 7 | 97 | 24.90 |
| Masahiro Kaneko | 8 | 55 | 19.24 |
| masahiko kusumoto | 9 | 46 | 16.28 |
| Noriyuki Moriyama | 10 | 148 | 50.47 |
| Kiyoshi Mori | 11 | 47 | 10.84 |
| hiroyuki nishiyama | 12 | 46 | 11.62 |