TY - JOUR
T1 - Monitoring tumor motion by real time 2D/3D registration during radiotherapy
AU - Gendrin, Christelle
AU - Furtado, Hugo
AU - Weber, Christoph
AU - Bloch, Christoph
AU - Figl, Michael
AU - Pawiro, Supriyanto Ardjo
AU - Bergmann, Helmar
AU - Stock, Markus
AU - Fichtinger, Gabor
AU - Georg, Dietmar
AU - Birkfellner, Wolfgang
N1 - Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.
PY - 2012/2
Y1 - 2012/2
N2 - 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.
AB - 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.
KW - Algorithms
KW - Carcinoma, Non-Small-Cell Lung/diagnostic imaging
KW - Humans
KW - Imaging, Three-Dimensional
KW - Lung Neoplasms/diagnostic imaging
KW - Motion
KW - Phantoms, Imaging
KW - Radiographic Image Interpretation, Computer-Assisted/methods
KW - Radiotherapy Planning, Computer-Assisted/methods
KW - Tomography, X-Ray Computed
UR - http://www.scopus.com/inward/record.url?scp=84857633383&partnerID=8YFLogxK
U2 - 10.1016/j.radonc.2011.07.031
DO - 10.1016/j.radonc.2011.07.031
M3 - Journal article
C2 - 21885144
SN - 0167-8140
VL - 102
SP - 274
EP - 280
JO - Radiotherapy and Oncology
JF - Radiotherapy and Oncology
IS - 2
ER -