Name
Title | ||
|---|---|---|
Heavy-ion radiotherapy treatment planning system and medical image processing algorithm used in it. |
Abstract | ||
|---|---|---|
As heavy-ion beam can generate a Bragg peak and the radiation dose can be easily concentrated on the tumor volume by utilizing the peak, nowadays heavy-ion radiotherapy is considered as a most powerful remedy for tumors. To make a conformal treatment plan, radiation treatment planning system (RTFS) is an important and necessary component in any radiation therapy. In our study, a heavy-ion RTPS has been developed for high-energy heavy-ion accelerator HIRFL-CSR in China and the accelerator can location Bragg peak on deep-seated tumor. The paper analyses the requirement of the software system, designs the framework, introduces the module function and shows the data flow of the treatment planning software system. Meanwhile, the paper has developed medical image fusion algorithm based on fuzzy-RBFNN (radial basis function neural networks) to overcome the blurry images. Improved interactive image segmentation algorithm and 3-D reconstruction algorithm have been developed too in the software system and achieved outstanding outcome. ©2008 IEEE. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/COASE.2008.4626514 | CASE |
Keywords | Field | DocType |
image segmentation,ion beam,radiation therapy,image reconstruction,treatment planning,automation,software systems,radiation dose,data flow,image fusion | Iterative reconstruction,Computer vision,Image fusion,Radiation treatment planning,Image processing,Image segmentation,Software system,Bragg peak,Reconstruction algorithm,Artificial intelligence,Engineering | Conference |
Volume | Issue | ISSN |
null | null | null |
ISBN | Citations | PageRank |
978-1-4244-2023-0 | 0 | 0.34 |
References | Authors | |
2 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jianwu Dang | 1 | 293 | 91.90 |
| Yangping Wang | 2 | 3 | 5.20 |
| Sha Li | 3 | 0 | 0.34 |
| Zhengping Zhu | 4 | 3 | 1.48 |