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Issue title: Impact of advanced parallel or cloud computing technologies for image guided diagnosis and therapy
Guest editors: Kelvin K.L. Wong, Simon Fong and Defeng Wang
Article type: Research Article
Authors: Chai, Leia | Chen, Daa | Tang, Xiao-binga; * | Ge, Yunb | Chen, Yingb | Li, Juna
Affiliations: [a] Department of Nuclear Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China | [b] School of Electronic Science and Engineering, Nanjing University, Nanjing, China
Correspondence: [*] Corresponding author: Xiao-bing Tang, PhD, Department of Nuclear Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. Tel.: +86 025 84895988; Fax: +86 025 52112626; E-mail: [email protected].
Abstract: Real-time monitoring and amendment of patient position is important for the radiotherapy. However, using electronic portal imaging device (EPID) and cone beam computer tomography (CBCT) in the clinical practice generate different degrees of delay, so that they cannot achieve the purpose of real-time application. Meanwhile, a few products come with the function of the real-time monitoring and amendment, such as CyberKnife, which is too expensive for the common people. The objective of this study is to develop and test a novel independent system to monitor treatment center and amend the position of patient, which is applicable to most accelerators, based on binocular location. The system monitors the treatment center by tracking the markers attached to the patient. Once the treatment center shifts, the system uses the magic finger, which is developed to control the treatment bet automatically to adjust the treatment bed position. To improve the monitoring accuracy, we trained the data collected from the clinic based on SVM (Support Vector Machine). Thus, the training results assist users to adjust the feasible degree of the monitoring. The experiment results showed that using this new monitoring system, the monitoring resolution reached 0.5 mm, and the error ratio of the judgment was less than 1.5%.
Keywords: Real-time monitoring, binocular system, magic finger, Support Vector Machine
DOI: 10.3233/XST-17253
Journal: Journal of X-Ray Science and Technology, vol. 25, no. 2, pp. 193-204, 2017
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