Bauer, Sebastian

Learn more about my research...

Patient Setup and Motion Management in Radiation Therapy

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.

Selected Publications:

Journal Articles

Grimm, Robert; Bauer, Sebastian; Sukkau, Johann; Hornegger, Joachim; Greiner, Günther

Markerless estimation of patient orientation, posture and pose using range and pressure imaging

International Journal of Computer Assisted Radiology and Surgery, vol. 7, no. 6, pp. 921-929, 2012 (BiBTeX, Who cited this?)

Articles in Conference Proceedings

Bauer, Sebastian; Berkels, Benjamin; Ettl, Svenja; Arold, Oliver; Hornegger, Joachim; Rumpf, Martin

Marker-less Reconstruction of Dense 4-D Surface Motion Fields using Active Laser Triangulation for Respiratory Motion Management

MICCAI 2012, Part I, LNCS 7510 (International Conference on Medical Image Computing and Computer Assisted Intervention), Nice, France, 01.10.2012, pp. 414-421, 2012 (BiBTeX, Who cited this?)

Wasza, Jakob; Bauer, Sebastian; Hornegger, Joachim

Real-time Motion Compensated Patient Positioning and Non-rigid Deformation Estimation using 4-D Shape Priors

MICCAI 2012, Part II, LNCS 7511 (15th International Conference on Medical Image Computing and Computer Assisted Intervention), Nizza, 01.10.2012, pp. 576-583, 2012 (BiBTeX, Who cited this?)

Bauer, Sebastian; Berkels, Benjamin; Hornegger, Joachim; Rumpf, Martin

Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy

International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Ein-Gedi, The Dead Sea, Israel, 31.05.2011, vol. 6667, pp. 98-109, 2011 (BiBTeX, Who cited this?)

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

IEEE International Conference on Computer Vision (ICCV) Workshops (IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV)), Barcelona, Spain, 12.11.2011, pp. 1175-1181, 2011 (BiBTeX, Who cited this?)

3-D Range Image Processing

Time-of-flight (ToF) imaging is an emerging technology that provides a direct way to acquire 3-D surface data (40k points) with a single sensor in real-time (25 Hz). Active light sources attached to the camera emit an incoherent cosine-modulated optical signal in the non-visible spectrum of the infrared range (850 nm). The light is reflected by the scene and enters the monocular camera where each TOF sensor element performs a correlation of the local optical signal with the electrical reference of the emitted signal. The measured phase shift between both signals represents the propagation delay and the distance from the sensor can be computed straightforward. The ToF imaging technology benefits from several advantages over existing 3-D surface acquisition techniques. The device is compact, portable and easy to integrate. It delivers precise metric information in the sensor coordinate system in real-time, no calibration steps are necessary. With respect to potential applications in the security, automotive and consumer electronics industry, a decrease of manufacturing costs can be expected with mass production being an all-solid-state off-the-shelf technology.

Selected Publications:

Monographs (article)

Bauer, Sebastian; Wasza, Jakob; Lugauer, Felix; Neumann, Dominik; Hornegger, Joachim

Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover

Consumer Depth Cameras for Computer Vision - Research Topics and Applications Advances in Computer Vision and Pattern Recognition, Springer London, UK, 2013, 27-48 (BiBTeX, Who cited this?)

Articles in Conference Proceedings

Bauer, Sebastian; Wasza, Jakob; Müller, Kerstin; Hornegger, Joachim

4D Photogeometric Face Recognition with Time-of-Flight Sensors

IEEE Workshop on Applications of Computer Vision (WACV), Kona, HI, USA, 05.01.2011, pp. 196-203, 2011 (BiBTeX, Who cited this?)

Neumann, Dominik; Lugauer, Felix; Bauer, Sebastian; Wasza, Jakob; Hornegger, Joachim

Real-time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover Data Structure

IEEE International Conference on Computer Vision (ICCV) Workshops (IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV)), Barcelona, Spain, 12.11.2011, pp. 1161-1167, 2011 (BiBTeX, Who cited this?)

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

VMV 2011: Vision, Modeling & Visualization, Berlin, Germany, 04.10.2011, pp. 57-64, 2011, ISBN 978-3-905673-85-2 (BiBTeX, Who cited this?)

Contact

Address

Dr.-Ing. Sebastian Bauer

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

Learn more about my research...



	Website deprecated and outdated. Click here for the new site.

Department of Computer Science 5 Our Team Bauer, Sebastian Projects Publications Theses Lectures Curriculum Vitae Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Impressum Datenschutzerklärung Contact Address Universität Erlangen-Nürnberg Chair of Computer Science 5 (Pattern Recognition) Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Our Team » Bauer, Sebastian Dr.-Ing. Sebastian Bauer Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg 3-D Range Imaging in Medicine Learn more about my research... Patient Setup and Motion Management in Radiation Therapy 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. Selected Publications: Journal Articles Grimm, Robert; Bauer, Sebastian; Sukkau, Johann; Hornegger, Joachim; Greiner, Günther Markerless estimation of patient orientation, posture and pose using range and pressure imaging International Journal of Computer Assisted Radiology and Surgery, vol. 7, no. 6, pp. 921-929, 2012 (BiBTeX, Who cited this?) Articles in Conference Proceedings Bauer, Sebastian; Berkels, Benjamin; Ettl, Svenja; Arold, Oliver; Hornegger, Joachim; Rumpf, Martin Marker-less Reconstruction of Dense 4-D Surface Motion Fields using Active Laser Triangulation for Respiratory Motion Management MICCAI 2012, Part I, LNCS 7510 (International Conference on Medical Image Computing and Computer Assisted Intervention), Nice, France, 01.10.2012, pp. 414-421, 2012 (BiBTeX, Who cited this?) Wasza, Jakob; Bauer, Sebastian; Hornegger, Joachim Real-time Motion Compensated Patient Positioning and Non-rigid Deformation Estimation using 4-D Shape Priors MICCAI 2012, Part II, LNCS 7511 (15th International Conference on Medical Image Computing and Computer Assisted Intervention), Nizza, 01.10.2012, pp. 576-583, 2012 (BiBTeX, Who cited this?) Bauer, Sebastian; Berkels, Benjamin; Hornegger, Joachim; Rumpf, Martin Joint ToF Image Denoising and Registration with a CT Surface in Radiation Therapy International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), Ein-Gedi, The Dead Sea, Israel, 31.05.2011, vol. 6667, pp. 98-109, 2011 (BiBTeX, Who cited this?) 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 IEEE International Conference on Computer Vision (ICCV) Workshops (IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV)), Barcelona, Spain, 12.11.2011, pp. 1175-1181, 2011 (BiBTeX, Who cited this?) 3-D Range Image Processing Time-of-flight (ToF) imaging is an emerging technology that provides a direct way to acquire 3-D surface data (40k points) with a single sensor in real-time (25 Hz). Active light sources attached to the camera emit an incoherent cosine-modulated optical signal in the non-visible spectrum of the infrared range (850 nm). The light is reflected by the scene and enters the monocular camera where each TOF sensor element performs a correlation of the local optical signal with the electrical reference of the emitted signal. The measured phase shift between both signals represents the propagation delay and the distance from the sensor can be computed straightforward. The ToF imaging technology benefits from several advantages over existing 3-D surface acquisition techniques. The device is compact, portable and easy to integrate. It delivers precise metric information in the sensor coordinate system in real-time, no calibration steps are necessary. With respect to potential applications in the security, automotive and consumer electronics industry, a decrease of manufacturing costs can be expected with mass production being an all-solid-state off-the-shelf technology. Selected Publications: Monographs (article) Bauer, Sebastian; Wasza, Jakob; Lugauer, Felix; Neumann, Dominik; Hornegger, Joachim Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover Consumer Depth Cameras for Computer Vision - Research Topics and Applications Advances in Computer Vision and Pattern Recognition, Springer London, UK, 2013, 27-48 (BiBTeX, Who cited this?) Articles in Conference Proceedings Bauer, Sebastian; Wasza, Jakob; Müller, Kerstin; Hornegger, Joachim 4D Photogeometric Face Recognition with Time-of-Flight Sensors IEEE Workshop on Applications of Computer Vision (WACV), Kona, HI, USA, 05.01.2011, pp. 196-203, 2011 (BiBTeX, Who cited this?) Neumann, Dominik; Lugauer, Felix; Bauer, Sebastian; Wasza, Jakob; Hornegger, Joachim Real-time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover Data Structure IEEE International Conference on Computer Vision (ICCV) Workshops (IEEE Workshop on Consumer Depth Cameras for Computer Vision (CDC4CV)), Barcelona, Spain, 12.11.2011, pp. 1161-1167, 2011 (BiBTeX, Who cited this?) 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 VMV 2011: Vision, Modeling & Visualization, Berlin, Germany, 04.10.2011, pp. 57-64, 2011, ISBN 978-3-905673-85-2 (BiBTeX, Who cited this?)