Name
Abstract | ||
|---|---|---|
For patient setup verification in external beam radiotherapy (EBRT) of prostate cancer, we developed an information theoretic registration framework, called the minimax entropy registration framework, to simultaneously and iteratively segment portal images and register them to three-dimensional (3-D) computed tomography (CT) image data. The registration framework has two steps, the max step and th... |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/TMI.2002.806430 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Image segmentation,Portals,Entropy,Computed tomography,Pixel,Parameter estimation,Prostate cancer,Minimax techniques,Registers,Random processes | Computer vision,Mathematical optimization,Segmentation,Discrete cosine transform,Image segmentation,Probability distribution,Mutual information,Artificial intelligence,Pixel,Principle of maximum entropy,Image registration,Mathematics | Journal |
Volume | Issue | ISSN |
22 | 1 | 0278-0062 |
Citations | PageRank | References |
6 | 0.57 | 10 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ravi Bansal | 1 | 6 | 0.57 |
| Lawrence H Staib | 2 | 1129 | 159.56 |
| Zhe Chen | 3 | 71 | 8.05 |
| Anand Rangarajan | 4 | 6 | 1.25 |
| Jonathan Knisely | 5 | 37 | 6.31 |
| Ravinder Nath | 6 | 192 | 23.43 |
| James S. Duncan | 7 | 30 | 12.80 |