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MMSys: Motion Management System Recent advances in range imaging (RI) have enabled real-time acquisition of
dense and metric 3-D surface data. A variety of medical applications will
benefit from real-time RI in the future. The focus of this research project
is on the application of RI sensors to improve the accuracy, safety and
workflow of fractionated radiotherapy (RT). As the name implies, the
irradiation of the tumor is performed in multiple sessions according to a
treatment plan that is generated from an initial computed tomography (CT)
scan. In order to ensure an accurate adjustment of the external beam, the
oncological patient must be aligned to the reference position of the
planning CT before each treatment session. In this project, we develop a
surface-based method for patient positioning that relies on multi-modal
RI/CT data registration. In comparison to existing alignment strategies, our
approach is accurate, marker-less, non-invasive, contactless and does avoid
additional radiation exposure. Real-time motion management is another
promising application of RI in RT. We develop a motion management system for
acquisition and classification of a multi-dimensional volumetric respiratory
signal. The system monitors specific anatomical regions of the upper part of
the body and determines the instantaneous phase within the respiration
cycle.
| Project manager: Prof. Dr.-Ing. Joachim Hornegger
Project participants: Dr.-Ing. Sebastian Bauer, Dipl.-Inf. Jakob Wasza
Keywords: Time-of-Flight; ToF; Radiotherapy; Oncology; Patient Positioning; Respiratory Motion
Duration: 1.11.2009 - 30.10.2012
Sponsored by: Bayerisches Staatsministerium für Wirtschaft, Verkehr und Technologie Siemens AG, Healthcare Sector softgate GmbH, Erlangen
Mitwirkende Institutionen: Lehrstuhl für Hardware-Software-Co-Design, Universität Erlangen-Nürnberg
Contact: Bauer, Sebastian E-Mail: sebastian.bauer@cs.fau.de
| Publications |
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Bauer, Sebastian ; Berkels, Benjamin ; Hornegger, Joachim ; Rumpf, Martin: Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy. In: Bruckstein, Alfred M. ; ter Haar Romeny, Bart ; Bronstein, Alex ; Bronstein, Michael (Ed.) : International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) (International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) Ein-Gedi, The Dead Sea, Israel 31.05.2011). Vol. 6667. 2011, pp 98-109. | Bauer, Sebastian ; Wasza, Jakob ; Haase, Sven ; Marosi, Natalia ; Hornegger, Joachim: Multi-modal Surface Registration for Markerless Initial Patient Setup in Radiation Therapy using Microsoft's Kinect Sensor. In: Fossati, Andrea ; Gall, Juergen ; Grabner, Helmut ; Ren, Xiaofeng ; Konolige, Kurt (Ed.) : IEEE International Conference on Computer Vision (ICCV) Workshops (IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV) Barcelona, Spain 12.11.2011). 2011, pp 1175-1181. | Wasza, Jakob ; Bauer, Sebastian ; Hornegger, Joachim: Real-time Preprocessing for Dense 3-D Range Imaging on the GPU: Defect Interpolation, Bilateral Temporal Averaging and Guided Filtering. In: Andrea Fossati ; Juergen Gall ; Helmut Grabner ; Xiaofeng Ren ; Kurt Konolige (Ed.) : IEEE International Conference on Computer Vision (ICCV) Workshops (IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV) Barcelona, Spain 11.12.2011). Barcelona, Spain : IEEE, 2011, pp 1221-1227. | Wasza, Jakob ; Bauer, Sebastian ; Haase, Sven ; Schmid, Moritz ; Reichert, Sebastian ; Hornegger, Joachim: RITK: The Range Imaging Toolkit - A Framework for 3-D Range Image Stream Processing. In: Eisert, Peter ; Hornegger, Joachim ; Polthier, Konrad (Ed.) : VMV 2011: Vision, Modeling & Visualization (VMV 2011: Vision, Modeling & Visualization Berlin, Germany 04.10.2011). 2011, pp 57-64. - ISBN 978-3-905673-85-2 [doi>10.2312/PE/VMV/VMV11/057-064] |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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