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

84 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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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

Access to Document

10.1016/j.radonc.2011.07.031

Cite this

@article{daf13085170341779ed8cec76cfc1192,

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",

pages = "274--280",

journal = "Radiotherapy and Oncology",

issn = "0167-8140",

publisher = "Elsevier Ireland Ltd",

number = "2",

}

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

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 - https://www.scopus.com/pages/publications/84857633383

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 -

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

Abstract

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

Cite this