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Year : 2021  |  Volume : 17  |  Issue : 1  |  Page : 148-151

Implementation of a visual feedback system for motion management during radiation therapy

1 Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Mumbai, Maharashtra, India
2 Department of Computer Engineering, Xavier Institute of Engineering, St. Xavier's Technical Institute, Mumbai, Maharashtra, India
3 Department of Radiation Oncology, Tata Memorial Centre, Mumbai, Maharashtra, India

Correspondence Address:
Jamema Swamidas
Department of Radiation Oncology, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Navi Mumbai - 410 210, Maharashtra
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/jcrt.JCRT_95_18

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Purpose: To describe the details of an in-house video goggles feedback system assembled from several commercially available components. The objective of this paper is to share our experience with this system, provide details on the equipment needed, system assembly, patient set up and user settings on some components. Materials and Methods: The system consisted of goggles (FPView3DHD, ITV, USA), RJ45(Registered Jack) to Digital Visual Interface (DVI) converter (Tripplite), DVI to HDMI converters, Local Area Network(LAN) cable, HDMI and power extender cables. The video coaching system was implemented both in CT simulator (GE Discovery)) and in treatment delivery machine True Beam v2.1 Varian Medical Systems (VMS, Palo Alto), which was integrated with respiratory motion management (RPM V 1.7.5) system. Results: The video feedback system is in clinical use since Aug 2017, so far, we have treated 13 patients, with approximately 150 fractions. The performance of the device was found to be satisfactory. All the patients were coached for DIBH and the usage of the goggles, which includes wearing the goggles, display details of the monitor, and the threshold levels of the breathing wave cycle. The patients understand the instructions very well and hence regulate the breathing cycle, which improves the treatment accuracy and efficiency. Conclusion: Video feedback system for motion management, for patients undergoing radiotherapy was implemented successfully both in CT simulator and in linear accelerator.

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