Technical note: Surface imaging for real-time patient positioning in external radiation therapy.
noninvasive
patient positioning
radiotherapy
real-time
surface imaging
Journal
Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
revised:
20
09
2021
received:
20
07
2021
accepted:
11
10
2021
pubmed:
21
10
2021
medline:
17
12
2021
entrez:
20
10
2021
Statut:
ppublish
Résumé
In the last few years, there has been a growing interest in surface imaging for patient positioning in external radiation therapy. The aim of this study is to evaluate the accuracy of daily patient positioning using the Azure Kinect surface imaging. A total of 50 fractions in 10 patients including lung, pelvic, and head and neck tumors were analyzed in real time. A rigid registration algorithm, based on the iterative closest point (ICP) approach, is employed to estimate the patient position in 6 degrees of freedom (DOF). This position is compared to the reference values obtained by the radiograph imaging. The mean setup error and its standard deviation were calculated for all measured fractions. The positioning error showed 1.1 ± 1.1 mm in lateral, 1.8 ± 2.1 mm in longitudinal, and 0.8 ± 1.1 mm in vertical, and 0.3°± 0.4° in yaw, 0.2°± 0.2° in pitch, and 0.2°± 0.2° in roll directions. The larger setup error occurred in pelvic regions. We have evaluated in a radiotherapy set-up considering different patient anatomical locations, a depth measurement based surface imaging solution for patient positioning considering the 6 DOF couch motion. We showed that the proposed solution allows an accurate patient positioning without the need for patient markings or the use of additional radiation dose.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
8037-8044Subventions
Organisme : This work was partially funded by the ERA PerMed frame (project POPEYE T11EPA4-00055) and the French National Research Agency (OptimiX project ANR-18-CE45-0011)
Informations de copyright
© 2021 American Association of Physicists in Medicine.
Références
Dawson LA, Sharpe MB. Image-guided radiotherapy: rationale, benefits, and limitations. Lancet Oncol. 2006;7(10):848-858.
Hoskin P, Gaze M, Greener T. On target: ensuring geometric accuracy in radiotherapy. Royal College of Radiologists; 2008.
Litzenberg DW, Balter JM, Hadley SW, et al. Influence of intrafraction motion on margins for prostate radiotherapy. Int J Radiat Oncol Biol Phys. 2006;65(2):548-553.
Wertz H, Lohr F, Dobler B, et al. Dosimetric consequences of a translational isocenter correction based on image guidance for intensity modulated radiotherapy (IMRT) of the prostate. Phys Med Biol. 2007;52(18):5655.
Rathod S, Munshi A, Agarwal J. Skin markings methods and guidelines: a reality in image guidance radiotherapy era. South Asian J Cancer. 2012;1(1):27.
Walter C, Boda-Heggemann J, Wertz H, et al. Phantom and in-vivo measurements of dose exposure by image-guided radiotherapy (IGRT): mV portal images vs. kV portal images vs. cone-beam CT. Radiother Oncol. 2007;85(3):418-423.
Alaei P, Spezi E. Imaging dose from cone beam computed tomography in radiation therapy. Phys Med Eur J Med Phys. 2015;31(7):647-658.
Bert C, Metheany KG, Doppke K, Chen GT. A phantom evaluation of a stereo-vision surface imaging system for radiotherapy patient setup. Med Phys. 2005;32(9):2753-2762.
Willoughby T, Lehmann J, Bencomo JA, et al. Quality assurance for nonradiographic radiotherapy localization and positioning systems: report of Task Group 147. Med Phys. 2012;39(4):1728-1747.
Nazir S, Pateau V, Bert J, et al. Surface imaging for real-time patient respiratory function assessment in intensive care. Med Phys. 2020;48:142-155.
Stieler F, Wenz F, Shi M, Lohr F. A novel surface imaging system for patient positioning and surveillance during radiotherapy. Strahlenther Onkol. 2013;189(11):938-944.
Walter F, Freislederer P, Belka C, Heinz C, Söhn M, Roeder F. Evaluation of daily patient positioning for radiotherapy with a commercial 3D surface-imaging system (Catalyst™). Radiat Oncol. 2016;11(1):154.
Placht S, Stancanello J, Schaller C, Balda M, Angelopoulou E. Fast time-of-flight camera based surface registration for radiotherapy patient positioning. Med Phys. 2012;39(1):4-17.
Schaller C, Penne J, Hornegger J. Time-of-flight sensor for respiratory motion gating. Med Phys. 2008;35(7 Pt 1):3090-3093.
Gilles M, Fayad H, Miglierini P, et al. Patient positioning in radiotherapy based on surface imaging using time of flight cameras. Med Phys. 2016;43(8 Pt 1):4833-4841.
Bauer S, Wasza J, Haase S, Marosi N, Hornegger J. Multi-modal surface registration for markerless initial patient setup in radiation therapy using Microsoft's Kinect sensor. 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops). IEEE; 2011:1175-1181.
DiGiovanna E, Lamba M, Sandwall P. Survey of Kinect v2 applied to radiotherapy patient positioning. Cancer Ther Oncol Int J. 2017;8(1):17-24.
Hansard M, Lee S, Choi O, Horaud RP. Time-of-Flight Cameras: Principles, Methods and Applications. Springer Science & Business Media; 2012.
Wentz T, Gilles M, Le Fur E, Pradier O, Visvikis D. SU-E-J-184: stereo time-of-flight system for patient positioning in radiotherapy. Med Phys. 2014;41(6 pt 9):199.
Besl PJ, McKay ND. Method for registration of 3-D shapes. Sensor Fusion IV: Control Paradigms and Data Structures. International Society for Optics and Photonics; 1992:586-607.
Bar-Itzhack IY. New method for extracting the quaternion from a rotation matrix. J Guid Control Dyn. 2000;23(6):1085-1087.
Bell K, Licht N, Rübe C, Dzierma Y. Image guidance and positioning accuracy in clinical practice: influence of positioning errors and imaging dose on the real dose distribution for head and neck cancer treatment. Radiat Oncol. 2018;13(1):190.
Alaei P, Spezi E, Reynolds M. Dose calculation and treatment plan optimization including imaging dose from kilovoltage cone beam computed tomography. Acta Oncol. 2014;53(6):839-844.
Schöffel PJ, Harms W, Sroka-Perez G, Schlegel W, Karger CP. Accuracy of a commercial optical 3D surface imaging system for realignment of patients for radiotherapy of the thorax. Phys Med Biol. 2007;52(13):3949.
Peng JL, Kahler D, Li JG, et al. Characterization of a real-time surface image-guided stereotactic positioning system. Med Phys. 2010;37(10):5421-5433.
Sá AC, Fermento A, Neves D, et al. Radiotherapy setup displacements in breast cancer patients: 3D surface imaging experience. Rep Pract Oncol Radiother. 2018;23(1):61-67.
Pallotta S, Vanzi E, Simontacchi G, et al. Surface imaging, portal imaging, and skin marker set-up vs. CBCT for radiotherapy of the thorax and pelvis. Strahlenther Onkol. 2015;191(9):726-733.
Freislederer P, Reiner M, Hoischen W, et al. Characteristics of gated treatment using an optical surface imaging and gating system on an Elekta linac. Radiat Oncol. 2015;10(1):1-6.
Nazir S, Rihana S, Visvikis D, Fayad H. Kinect V2 surface filtering during gantry motion for radiotherapy applications. Med Phys. 2018;45(4):1400-1407.
Devereux B, Frantzis J, Sisson T, Jones M, Martin J, Middleton M. A comparison of kV and MV imaging in head and neck image guided radiotherapy. Radiography. 2010;16(1):8-13.
Fayad H, Pan T, François Clement J, Visvikis D. Correlation of respiratory motion between external patient surface and internal anatomical landmarks. Med Phys. 2011;38(6 pt 1):3157-3164.