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Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms

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Abstract

Introduction

Laser markers installed on the walls and ceiling of the bunker are usually used for patient positioning in radiotherapy. Therefore, they directly influence radiotherapy treatment accuracy. The present study aimed to develop a new method without using an external portable laser source or any dedicated laser alignment phantom to align the radiotherapy setup lasers installed in treatment bunkers.

Methods

A patient-specific IMRT quality assurance phantom (OCTAVIUS 4D in our study) was used as a phantom having a similar size of patients and surface markers precisely showing the central point of the phantom. After ensuring the precise coincidence between light and radiation isocenters at various gantry angles (0, 90, and 270 degrees), true laser positions were found optically by matching the shadows of all the cross hair lines (CHLs) on the external window of the gantry head and also on the phantom surface at various gantry angles. The distances between the laser lines and light field crosslines on the treatment room walls for our proposed approach were compared with the conventional laser calibration technique (laser calibration with an external laser source positioned in the machine isocenter) and reported as laser alignment accuracy.

Results

The mean displacements performed for laser alignment on the phantom surface were 1.2 ± 0.2, 1.1 ± 0.1, and 1.0 ± 0.1 mm for sagittal, coronal, and axial lasers, respectively. These displacements on the gantry head exit plane were 1.4 ± 0.3, 1.2 ± 0.2, and 1.1 ± 0.1 mm, respectively. Mean value of laser alignment accuracy on the wall of the treatment room was 19.5 ± 0.5 mm for our new method, whilst it was 32.7 ± 0.7 mm for adjusting lasers with the conventional method.

Conclusion

Our new approach for laser alignment was performed and evaluated successfully. This method can provided a more accurate procedure than the conventional method without needing an external laser source or dedicated laser alignment phantom.

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Data availability

The data used to support the findings of this study are available from the corresponding author upon request.

Code Availability

Not applicable.

References

  1. Jones AO, Kleiman MT. Patient setup and verification for intensity-modulated radiation therapy (IMRT). Med Dosim. 2003;28(3):175–83.

    Article  PubMed  Google Scholar 

  2. Mackie TR, Kapatoes J, Ruchala K, Lu W, Wu C, Olivera G, et al. Image guidance for precise conformal radiotherapy. Int J Radiation Oncology* Biology* Phys. 2003;56(1):89–105.

    Article  Google Scholar 

  3. Morin O, Gillis A, Chen J, Aubin M, Bucci MK, Roach M III, et al. Megavoltage cone-beam CT: system description and clinical applications. Med Dosim. 2006;31(1):51–61.

    Article  PubMed  Google Scholar 

  4. Chen L, Price RA Jr, Wang L, Li J, Qin L, McNeeley S, et al. MRI-based treatment planning for radiotherapy: dosimetric verification for prostate IMRT. Int J Radiation Oncology* Biology* Phys. 2004;60(2):636–47.

    Article  Google Scholar 

  5. Steciw S, Warkentin B, Rathee S, Fallone BG. Three-dimensional IMRT verification with a flat-panel EPID. Med Phys. 2005;32(2):600–12.

    Article  CAS  PubMed  Google Scholar 

  6. Fielding AL, Evans PM, Clark CH. Verification of patient position and delivery of IMRT by electronic portal imaging. Radiother Oncol. 2004;73(3):339–47.

    Article  PubMed  Google Scholar 

  7. Verhey LJ. Immobilizing and positioning patients for radiotherapy. Seminars in Radiation Oncology. Elsevier; 1995. pp. 100–14.

  8. Klein EE, Hanley J, Bayouth J, Yin FF, Simon W, Dresser S, et al. Task Group 142 report: quality assurance of medical accelerators a. Med Phys. 2009;36(9Part1):4197–212.

    Article  PubMed  Google Scholar 

  9. Hanley J, Dresser S, Simon W, Flynn R, Klein EE, Letourneau D, et al. AAPM Task Group 198 Report: an implementation guide for TG 142 quality assurance of medical accelerators. Med Phys. 2021;48(10):e830–85.

    Article  PubMed  Google Scholar 

  10. Hwang UJ, Jo K, Lim YK, Kwak JW, Choi SH, Jeong C, et al. A new method and device of aligning patient setup lasers in radiation therapy. J Appl Clin Med Phys. 2016;17(1):49–61.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Dumas JL, Fawzi M, Masset H, Losa S, Dal R, Pierrat N, et al. Independent 6D quality assurance of stereotactic radiotherapy repositioning on linacs. Cancer/Radiothérapie. 2020;24(3):199–205.

    Article  PubMed  Google Scholar 

  12. Zaila A, Adili M, Bamajboor S, Pylinac. A toolkit for performing TG-142 QA related tasks on linear accelerator. Physica Med. 2016;32:292–3.

    Article  Google Scholar 

  13. Du W, Johnson JL, Jiang W, Kudchadker RJ. On the selection of gantry and collimator angles for isocenter localization using Winston-Lutz tests. J Appl Clin Med Phys. 2016;17(1):167–78.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Rowshanfarzad P, Sabet M, Barnes MP, O’Connor DJ, Greer PB. EPID-based verification of the MLC performance for dynamic IMRT and VMAT. Med Phys. 2012;39(10):6192–207.

    Article  PubMed  Google Scholar 

  15. Ravindran PB. A study of Winston–Lutz test on two different electronic portal imaging devices and with low energy imaging. Australasian Phys Eng Sci Med. 2016;39(3):677–85.

    Article  Google Scholar 

  16. Yu AS, Fowler TL, Dubrowski P. A novel-integrated quality assurance phantom for radiographic and nonradiographic radiotherapy localization and positioning systems. Med Phys. 2018;45(7):2857–63.

    Article  PubMed  Google Scholar 

  17. Song Z, Yan H, Xu Y, Dai J. A two-layer cylinder phantom developed for film-based isocenter verification of radiotherapy machine. Med Phys. 2021;48(12):7725–34.

    Article  CAS  PubMed  Google Scholar 

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Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Sulieman Ibraheem Shelash Al-Hawary, Hashem O. Alsaab, Daha Thabit, and Amin Banaei. The first draft of the manuscript was written by M. Abdulfadhil Gatea and Mustafa Mahmoud. Mohammed N. Fenjan, Samira Abbaspour, and Razzagh Abedi-Firouzjah commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Amin Banaei.

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Al-Hawary, S.I.S., Alsaab, H.O., Thabit, D. et al. Introducing a new approach for calibrating radiotherapy room lasers without using external laser source or dedicated phantoms. Health Technol. (2024). https://doi.org/10.1007/s12553-024-00831-0

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  • DOI: https://doi.org/10.1007/s12553-024-00831-0

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