Monitoring tumor motion by real time 2D/3D registration during radiotherapy

Gendrin, Christelle; Furtado, Hugo; Weber, Christoph; Bloch, Christoph; Figl, Michael; Pawiro, Supriyanto Ardjo; Bergmann, Helmar; Stock, Markus; Fichtinger, Gabor; Georg, Dietmar; Birkfellner, Wolfgang

doi:10.1016/j.radonc.2011.07.031

« Previous Next »Radiotherapy & Oncology
Volume 102, Issue 2 , Pages 274-280, February 2012

Monitoring tumor motion by real time 2D/3D registration during radiotherapy

Christelle Gendrin
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Hugo Furtado
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Christoph Weber
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Christoph Bloch
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Michael Figl
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Supriyanto Ardjo Pawiro
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Helmar Bergmann
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
Markus Stock
- Department of Radiotherapy, Medical University of Vienna, Austria
Gabor Fichtinger
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
- Department of Computer Science, Queen’s University, Ontario, Canada
Dietmar Georg
- Department of Radiotherapy, Medical University of Vienna, Austria
Wolfgang Birkfellner
- Center of Medical Physics and Biomedical Engineering, Medical University of Vienna, Austria
- Corresponding author. Address: Waehringer Guertel 18-20/4L, A-1090 Vienna, Austria.

Received 15 February 2011; received in revised form 29 July 2011; accepted 29 July 2011. published online 01 September 2011.

Abstract

Background and purpose

In this paper, we investigate the possibility to use X-ray based real time 2D/3D registration for non-invasive tumor motion monitoring during radiotherapy.

Materials and methods

The 2D/3D registration scheme is implemented using general purpose computation on graphics hardware (GPGPU) programming techniques and several algorithmic refinements in the registration process. Validation is conducted off-line using a phantom and five clinical patient data sets. The registration is performed on a region of interest (ROI) centered around the planned target volume (PTV).

Results

The phantom motion is measured with an rms error of 2.56mm. For the patient data sets, a sinusoidal movement that clearly correlates to the breathing cycle is shown. Videos show a good match between X-ray and digitally reconstructed radiographs (DRR) displacement. Mean registration time is 0.5s.