DocumentCode
2525353
Title
The Research of Radiotherapy Treatment Planning System Based on CT Image
Author
Wu Junsheng ; Chen Hongchu ; Li Yong
Author_Institution
Dept. of Software Eng., Northwestern Polytech. Univ., Xi´an, China
fYear
2009
fDate
11-13 June 2009
Firstpage
1
Lastpage
4
Abstract
Radiotherapy is a very important tumor treatment. And cobalt-60 radiotherapy machine (also known as gamma knife) is a common external beam radiotherapy equipment and is designed mainly for conventional radiotherapy. We develop a software system, which is named radiotherapy treatment planning system, to make gamma knife more precise in radiotherapy. Section II introduces the principle of gamma knife the system works with. Section III expounds the main components of system. It is composed of image pre-processing, dose computation, dose distribution display, three-dimensional reconstruction, and other modules. Section III.B introduces TMR-OAR model the system uses to compute dose distribution. And Section III.D introduces the way of human body data and dose data visualization. Finally, Section III.E shows the evaluation consequence of a treatment plan. The system works well, and achieves the expected results.
Keywords
cancer; cobalt; computerised tomography; dosimetry; image reconstruction; medical image processing; radiation therapy; tumours; CT image; Co60; TMR-OAR model; cobalt-60 radiotherapy machine; dose computation; dose data visualization; dose distribution display; external beam radiotherapy equipment; gamma knife; image pre-processing; radiotherapy treatment planning system; three-dimensional reconstruction; tumor treatment; Biological system modeling; Computed tomography; Computer displays; Data visualization; Distributed computing; Humans; Image reconstruction; Neoplasms; Software systems; Three dimensional displays;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-2901-1
Electronic_ISBN
978-1-4244-2902-8
Type
conf
DOI
10.1109/ICBBE.2009.5163652
Filename
5163652
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