Name
Abstract | ||
|---|---|---|
This communication describes a fully automated method by which the position of the diaphragm surface can be estimated by deforming a thin-plate model to match the bottom surface of the lung in CT images. This method was applied to 338 X-ray CT scans, and its validity was proved by the experimental results. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TBME.2007.899337 | IEEE Transactions on Biomedical Engineering |
Keywords | Field | DocType |
Computed tomography,Biomedical imaging,Torso,Lungs,Humans,Medical diagnostic imaging,X-ray imaging,Image segmentation,Anatomical structure,Shape | Computer vision,Torso,Diaphragm (structural system),Computer science,Medical imaging,Segmentation,Image segmentation,Artificial intelligence,Computed tomography | Journal |
Volume | Issue | ISSN |
55 | 1 | 0018-9294 |
Citations | PageRank | References |
6 | 0.66 | 3 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiangrong Zhou | 1 | 325 | 45.53 |
| Hiroaki Ninomiya | 2 | 21 | 1.72 |
| Takeshi Hara | 3 | 639 | 79.10 |
| Hiroshi Fujita | 4 | 6 | 0.66 |
| Ryujiro Yokoyama | 5 | 123 | 18.40 |
| Huayue Chen | 6 | 41 | 8.90 |
| Takuji Kiryu | 7 | 41 | 4.55 |
| Hiroaki Hoshi | 8 | 106 | 18.21 |