Research project

Motion compensation for overlays in interventional fluoroscopy

X-ray fluoroscopy guidance using a C-arm CT is widely used for minimally invasive interventions on the heart or the liver. However, soft tissue contrast in fluoroscopic images is low. Consequently, preoperatively acquired roadmap information, e.g. from MR or CT, is overlaid onto the fluoroscopic images during the intervention. In the thorax or abdomen, the respiratory motion of the patient causes inconsistencies between the live fluoroscopic images and a static roadmap overlay.

This project researches respiratory motion compensation. This has the potential to drastically increase the reliability and accuracy of overlays. A model-based approach is investigated, which uses an externally measured or image- based respiratory signal to control a respiratory model. A challenge is the reliable estimation of respiratory information from the fluoroscopic images. Algorithms for the extraction of a respiratory signal from the images are developed and analyzed. Several methods for measuring the respiratory signal externally are investigated and compared. Another key aspect is the analysis and development of respiratory models. Preoperative measurements can be used to create the respiratory model.

Project manager:
Prof. Dr.-Ing. Joachim Hornegger, Dr.-Ing. Thomas Pohl

Project participants:
Dr.-Ing. Peter Fischer

Keywords:
Motion compensation; C-arm CT; respiratory motion; respiratory models

Duration: 1.6.2013 - 31.5.2016

Sponsored by:
Siemens AG, Healthcare Sector

Contact:
Fischer, Peter
Phone +49 9131 85 25246, Fax +49 9131 85 27270, E-Mail: peter.fischer@fau.de

Publications

Fischer, Peter ; Pohl, Thomas ; Maier, Andreas ; Hornegger, Joachim: Incremental Dimensionality Reduction for Respiratory Signal Extraction From X-Ray Sequences. In: Preim, Bernhard ; Rose, Georg ; Skalej, Martin ; Wacker, Frank (Ed.) : IGIC 2014 - Abstractband (Conference on Image-Guided Interventions Magdeburg 14.10.2014). 2014, pp 80-81.

Fischer, Peter ; Pohl, Thomas ; Hornegger, Joachim: Real-Time Respiratory Signal Extraction from X-Ray Sequences using Incremental Manifold Learning. In: IEEE (Ed.) : 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI) (International Symposium on Biomedical Imaging (ISBI) Beijing, China 29.04.2014). 2014, pp 915-918. - ISBN 978-1-4673-1961-4

Fischer, Peter ; Pohl, Thomas ; Köhler, Thomas ; Maier, Andreas ; Hornegger, Joachim: A Robust Probabilistic Model for Motion Layer Separation in X-Ray Fluoroscopy. In: Ourselin, Sebastien ; Alexander, Daniel C. ; Westin, Carl-Fredrik ; Cardoso, M. Jorge (Ed.) : 24th International Conference on Information Processing in Medical Imaging, IPMI 2015 (Information Processing in Medical Imaging Isle of Skye, Scotland 28.06.2015). Berlin : Springer, 2015, pp 288-299. (LNCS Vol. 9123) - ISBN 978-3-319-19991-7
[doi>10.1007/978-3-319-19992-4_22]

Fischer, Peter ; Pohl, Thomas ; Maier, Andreas ; Hornegger, Joachim: Markov Random Field-based Layer Separation for Simulated X-Ray Image Sequences. In: Handels, Heinz ; Deserno, Thomas ; Meinzer, Hans-Peter ; Tolxdorff, Thomas (Ed.) : Bildverarbeitung für die Medizin 2015 (Bildverarbeitung für die Medizin Lübeck 17.03.2015). Berlin Heidelberg : Springer, 2015, pp 329-324. (Informatik aktuell)

Fischer, Peter ; Pohl, Thomas ; Maier, Andreas ; Hornegger, Joachim: Surrogate-Driven Estimation of Respiratory Motion and Layers in X-Ray Fluoroscopy. In: Navab, Nassir ; Hornegger, Joachim ; Wells, William M. ; Frangi, Alejandro F. (Ed.) : Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015 (International Conference on Medical Image Computing and Computer-Assisted Intervention München 06.10.2015). Berlin : Springer, 2015, pp 282-289. (LNCS Vol. 9349) - ISBN 978-3-319-24552-2
[doi>10.1007/978-3-319-24553-9_35]