By Topic

Heavy-ion radiotherapy treatment planning system and medical image processing algorithm used in it

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jianwu Dang ; Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou ; Yangping Wang ; Sha Li ; Zhengping Zhu

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 (RTPS) 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.

Published in:

Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on

Date of Conference:

23-26 Aug. 2008