DocumentCode :
2489058
Title :
Application of neural network in dose calculation of radiotherapy
Author :
Liu, Yanmei ; Li, Yibo ; Chen, Zhen ; Xue, Dingyu ; Xu, Xinhe
Author_Institution :
Shenyang Inst. of Aeronaut. Eng., Shenyang
fYear :
2008
fDate :
25-27 June 2008
Firstpage :
4419
Lastpage :
4424
Abstract :
The precise conversion of CT numbers to their mass densities is essential in dose calculation of radiotherapy for the inhomogeneity. A new neural network algorithm was presented for tissue density calibration. Artificial neural networks are used to learn the relationships between the CT numbers and their mass densities. It neither requires an accurate mathematical model nor needs any priori knowledge about the parameters. This algorithm had been added to the convention DPM and can fulfill the requirement of heterogeneity correction in clinical radiotherapy. The high speediness and high precision are the features of this system. The results compared with PENELOPE proved the efficiency of this method.
Keywords :
computerised tomography; dosimetry; learning (artificial intelligence); medical image processing; radiation therapy; artificial neural network learning; clinical radiotherapy; computerized axial tomography; dose calculation; dose planning method; heterogeneity correction; mathematical model; tissue density calibration; Artificial neural networks; Atomic measurements; Biological materials; Calibration; Computed tomography; Electrons; Geometry; Image converters; Monte Carlo methods; Neural networks; Dose distribution; Monte Carlo; Neural networks; Radiotherapy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-2113-8
Electronic_ISBN :
978-1-4244-2114-5
Type :
conf
DOI :
10.1109/WCICA.2008.4593634
Filename :
4593634
Link To Document :
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