Abstract
A novel real-time multi-sensor framework for range imaging (RI) based respiratory motion analysis in image guided interventions such as fractionated radiation therapy is presented. We constitute our method based upon real-time constraints in clinical practice and an analytic analysis of RI based elastic body surface deformation fields. For the latter, we show that the underlying joint rigid and non-rigid registration problem is ill-conditioned and identify insufficient body coverage as an error source. Facing these issues, we propose a novel manifold ray casting technique enabling the reconstruction of an 180° coverage body surface model composed of ~3·105 points from volumetrically fused multi-view range data in ~25 ms. Exploiting the wide field of view surface model enabled by our method, we reduce the error in motion compensated patient alignment by a factor of 2.7 in the translational and 2.4 in the rotational component compared to conventional single sensor surface coverage.
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Wasza, J., Bauer, S., Hornegger, J. (2013). Real-Time Respiratory Motion Analysis Using Manifold Ray Casting of Volumetrically Fused Multi-view Range Imaging. In: Mori, K., Sakuma, I., Sato, Y., Barillot, C., Navab, N. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. MICCAI 2013. Lecture Notes in Computer Science, vol 8150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40763-5_15
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DOI: https://doi.org/10.1007/978-3-642-40763-5_15
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