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

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

doi:10.1016/j.radonc.2011.07.031

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

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

Research output: Journal article (peer-reviewed) › Journal article

76 Citations (Scopus)

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.

Original language	English
Pages (from-to)	274-280
Number of pages	7
Journal	Radiotherapy and Oncology
Volume	102
Issue number	2
DOIs	https://doi.org/10.1016/j.radonc.2011.07.031
Publication status	Published - Feb 2012
Externally published	Yes

Keywords

Algorithms
Carcinoma, Non-Small-Cell Lung/diagnostic imaging
Humans
Imaging, Three-Dimensional
Lung Neoplasms/diagnostic imaging
Motion
Phantoms, Imaging
Radiographic Image Interpretation, Computer-Assisted/methods
Radiotherapy Planning, Computer-Assisted/methods
Tomography, X-Ray Computed

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10.1016/j.radonc.2011.07.031

Cite this

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title = "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.",

keywords = "Algorithms, Carcinoma, Non-Small-Cell Lung/diagnostic imaging, Humans, Imaging, Three-Dimensional, Lung Neoplasms/diagnostic imaging, Motion, Phantoms, Imaging, Radiographic Image Interpretation, Computer-Assisted/methods, Radiotherapy Planning, Computer-Assisted/methods, Tomography, X-Ray Computed",

author = "Christelle Gendrin and Hugo Furtado and Christoph Weber and Christoph Bloch and Michael Figl and Pawiro, {Supriyanto Ardjo} and Helmar Bergmann and Markus Stock and Gabor Fichtinger and Dietmar Georg and Wolfgang Birkfellner",

year = "2012",

month = feb,

doi = "10.1016/j.radonc.2011.07.031",

language = "English",

volume = "102",

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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

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.

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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

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JO - Radiotherapy and Oncology

JF - Radiotherapy and Oncology

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ER -

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

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Keywords

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