Unknown

Dataset Information

0

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


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

altmetric image

Publications

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

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]

Similar Datasets

| S-EPMC9540269 | biostudies-literature
| S-EPMC3772940 | biostudies-other
| S-EPMC5125797 | biostudies-literature
| S-EPMC6310644 | biostudies-literature
| S-EPMC3695968 | biostudies-other
| S-EPMC10591895 | biostudies-literature
| S-EPMC5743220 | biostudies-literature
| S-EPMC5690212 | biostudies-literature
| S-EPMC9157440 | biostudies-literature
| S-EPMC9504642 | biostudies-literature