Name
Abstract | ||
|---|---|---|
Recently, the development of multi-row multi-slice CT scanner proves precise measure of whole lung area in short time period. The CT scanner improves spatial resolution along z-axis and time resolution. Therefore, this CT image is effective for diagnosis of lung cancer as well as the other lung lesions, and leads the early detection. The development of a diagnosis support system is expected to diagnose these images. So far, we have developed a computer-aided diagnosis (CAD) system to automatically detect suspicious regions based on helical CT image. However, the algorithm isn't enough in multi-slice CT images because of two-dimensional algorithm and un-recognizing of the chest structure. This paper presents an algorithm of nodules detection using the three-dimensional (3-D) algorithm and recognizing of the chest structure based on multi-slice CT images, and we show the validity of detection algorithm of isolated nodules using 286 data sets. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1117/12.534826 | Proceedings of SPIE |
Keywords | Field | DocType |
multi-slice CT images,CAD system,lung cancer,chest structure,3-D algorithm | Lung cancer,CAD,Data set,Lung cancer screening,Multislice,Computer-aided diagnosis,Algorithm,Scanner,Radiology,Image resolution,Medicine | Conference |
Volume | ISSN | Citations |
5370 | 0277-786X | 6 |
PageRank | References | Authors |
0.50 | 0 | 14 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shinsuke Saita | 1 | 22 | 3.92 |
| tomokazu oda | 2 | 10 | 0.98 |
| Mitsuru Kubo | 3 | 89 | 22.51 |
| Yoshiki Kawata | 4 | 192 | 54.44 |
| Noboru Niki | 5 | 188 | 66.10 |
| michizou sasagawa | 6 | 7 | 0.87 |
| Hironobu Ohmatsu | 7 | 138 | 45.23 |
| Ryutaro Kakinuma | 8 | 97 | 24.90 |
| Masahiro Kaneko | 9 | 55 | 19.24 |
| masahiro kusumoto | 10 | 10 | 2.93 |
| Kenji Eguchi | 11 | 129 | 42.78 |
| hiroyuki nishiyama | 12 | 46 | 11.62 |
| Kiyoshi Mori | 13 | 47 | 10.84 |
| Noriyuki Moriyama | 14 | 148 | 50.47 |