Evaluation of the potential of multi-modal sensors for respiratory motion prediction and correlation

R. Dürichen, L. Davenport, R. Bruder, T. Wissel, A. Schweikard, F. Ernst

Abstract

In modern robotic radiotherapy, precise radiation of moving tumors is possible by tracking external optical surrogates. The surrogates are used to compensate for time delays and to predict internal landmarks using a correlation model. The correlation depends significantly on the surrogate position and breathing characteristics of the patient. In this context, we aim to increase the accuracy and robustness of prediction and correlation models by using a multi-modal sensor setup. Here, we evaluate the correlation coefficient of a strain belt, an acceleration and temperature sensor (air flow) with respect to external optical sensors and one internal landmark in the liver, measured by 3D ultrasound. The focus of this study is the influence of breathing artefacts, like coughing and harrumphing. Evaluating seven subjects, we found a strong decrease of the correlation for all modalities in case of artefacts. The results indicate that no precise motion compensation during these times is possible. Overall, we found that apart from the optical markers, the strain belt and temperature sensor data show the best correlation to external and internal motion.
Original languageEnglish
Title of host publication2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Number of pages4
PublisherIEEE
Publication date01.07.2013
Pages5678-5681
Article number6610839
ISBN (Print)978-145770216-7
DOIs
Publication statusPublished - 01.07.2013
Event2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Osaka, Japan
Duration: 03.07.201307.07.2013

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