Ontology highlight
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 2.56 mm. 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 0.5 s.Conclusions
We have demonstrated that real-time organ motion monitoring using image based markerless registration is feasible.
SUBMITTER: Gendrin C
PROVIDER: S-EPMC3276833 | biostudies-literature | 2012 Feb
REPOSITORIES: biostudies-literature
Gendrin Christelle C Furtado Hugo H Weber Christoph C Bloch Christoph C Figl Michael M Pawiro Supriyanto Ardjo SA Bergmann Helmar H Stock Markus M Fichtinger Gabor G Georg Dietmar D Birkfellner Wolfgang W
Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology 20110830 2
<h4>Background and purpose</h4>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.<h4>Materials and methods</h4>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. Th ...[more]