Abstract
To allow for highly accurate localisation in stereotactic radiation therapy, patients are typically immobilised, equipped with optical markers or observed by stereoscopic X-ray imaging cameras. These methods decrease patient comfort and cause additional exposition to ionizing radiation. Consequently, there is a growing demand for contact-free approaches to compensate for patient motion. In this paper we present a first prototype for tracking head motion during radiation therapy using 3D range cameras. We propose a combination of global and local registration methods. We apply a Kalman movement model to observe head motions. The system’s capabilities are analysed using a conventional Kinect-like camera which is mainly known as a low-cost consumer electronics device. Our tests show that the proposed setup has the potential of determining head positions with submillimeter accuracy in real-time. However, the use of low-cost cameras turns out to be problematic as they consistently cause substantial systematic errors in measuring depths.
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© 2014 Springer-Verlag Berlin Heidelberg
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Graßhoff, J., Bruder, R., Schweikard, A., Ernst, F. (2014). Kalman Filter-Based Head Tracking for Cranial Radiation Therapy with Low-Cost Range-Imaging Cameras. In: Deserno, T., Handels, H., Meinzer, HP., Tolxdorff, T. (eds) Bildverarbeitung für die Medizin 2014. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54111-7_60
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DOI: https://doi.org/10.1007/978-3-642-54111-7_60
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