Department of Radiation Oncology, Health of Science University, Antalya Training and Research Hospital, Kazım Karabekir Street, Muratpaşa, Antalya, Turkey , aysuntoy@yahoo.com
Abstract: (577 Views)
Background:Metal Artifact Reduction (MAR) is very important in terms of dose calculation and optimization accuracy in radiotherapy (RT). There are many MAR programs available commercially. In this study, a MAR program was developed using MATLAB software (MATLAB-MAR), and the effect of the developed MATLAB-MAR on radiotherapy dose distribution was examined. Materials and Methods: In line with the purpose of the study, a phantom containing metal with a high atomic number (z=82) was created, and computer tomography (CT) of the phantom was taken. MAR developed with MATLAB software and a commercial metal artifact reduction (Smart-MAR) were applied on CT slices. The Hounsfield unit (HU), visually, artefact size and gamma evaluation effects of MATLAB-MAR, Smart-MAR and Without-MAR slices in the CMS XiO planning systems. Results: As a result of the study, the best visually and HU improvement was seen in MATLAB-MAR. Moreover, in the dose distribution evaluation made by gamma analysis, an improvement was observed in MATLAB-MAR.
Conclusion: Although similar values were obtained with MATLAB-MAR and the commercial software, it was determined that MATLAB-MAR was more advantageous than the commercial software in terms of being cost-free, providing results in a shorter time, not requiring reconstruction, and being open to development.
1. Rousselle A, Amelot A, Thariat J, et al. (2020) Metallic implants and CT artefacts in the CTV area: Where are we in 2020? Cancer Radiother, 24(6-7): 658-666. [DOI:10.1016/j.canrad.2020.06.022]
2. Maerz M., Koelbl O, Dobler B (2015) Influence of metallic dental implants and metal artefacts on dose calculation accuracy. Strahlentherapie und Onkologie, 191: 234-241. [DOI:10.1007/s00066-014-0774-2]
3. Chu JC, Ni B, Kriz R, et al. (2000) Applications of simulator computed tomography number for photon dose calculations during radiotherapy treatment planning. Radiotherapy and Oncology, 55: 65-73. [DOI:10.1016/S0167-8140(00)00159-6]
4. Huang V and Kohli K (2017) Evaluation of new commercially available metal artifact reduction (MAR) algorithm on both image quality and relative dosimetry for patients with hip prosthesis or dental fillings. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 5(7): 124-138. [DOI:10.4236/ijmpcero.2017.62012]
5. De Man B, Nuyts J, Dupont P, et al. (1999) Metal streak artifacts in X-ray computed tomography: a simulation study. IEEE Transactions on Nuclear Science, 46(3): 691-696. [DOI:10.1109/23.775600]
6. Puvanasunthararajah S, Camps SM, Wille Ml et al. (2022) Combined clustered scan-based metal artifact reduction algorithm (CCS-MAR) for ultrasound-guided cardiac radioablation. Phys Eng Sci Med, 45: 1273-1287. [DOI:10.1007/s13246-022-01192-6]
7. Boas FE and Fleischmann D (2011) Evaluation of two iterative techniques for reducing metal artifacts in computed tomography. Radiology, 259: 894-902. [DOI:10.1148/radiol.11101782]
8. Bar E, Schwahofer A, Kuchenbecker S, Harring P (2011) Improving radiotherapy planning in patients with metallic implants using the iterative metal artifact reduction (iMAR) algorithm. Biomedical Physics Engineering Express, 1: 025206. [DOI:10.1088/2057-1976/1/2/025206]
9. Bedford JL, Childs PJ, Nordmark Hansen V, et al. (2003) Commissioning and quality assurance of the Pinnacle3 radiotherapy treatment planning system for external beam photons. The British Journal of Radiology, 76: 163-76. [DOI:10.1259/bjr/42085182]
10. Kim Y, Tome WA, Bal M, McNutt TR, Spies L (2006) The impact of dental metal artefacts on head and neck IMRT dose distributions. Radiotherapy and Oncology, 79: 198-202. [DOI:10.1016/j.radonc.2006.03.022]
11. Abdoli M, Dierckx, RA, Zaidi H. Metal artifact reduction strategies for improved attenuation correction in hybrid PET/CT imaging. Medical Physics 39: 3343-3360; 2012. [DOI:10.1118/1.4709599]
12. Lell MM, Meyer E, Schmid M, et al. (2013) Frequency split metal artefact reduction in pelvic computed tomography. European Journal of Radiology, 23: 2137-45. [DOI:10.1007/s00330-013-2809-y]
13. Gjesteby L, De Man B, Jin Y, et al. (2016) Metal artifact reduction in CT: where are we after four decades? IEEE Access, 4: 5826-49. [DOI:10.1109/ACCESS.2016.2608621]
14. Giantsoudi D, De Man B, Verburg J, et al. (2017) Metal artifacts in computed tomography for radiation therapy planning: dosimetric effects and impact of metal artifact reduction. Physics in Medicine & Biology, 62(8): 49-80. [DOI:10.1088/1361-6560/aa5293]
15. Spadea MF, Verburg JM, Baroni G, Seco J (2014) The impact of low ‐ Z and high ‐ Z metal implants in IMRT: a Monte Carlo study of dose inaccuracies in commercial dose algorithms. Medical Physics, 41: 011702. [DOI:10.1118/1.4829505]
16. Mail N, Albarakati Y, Khan MA, et al. (2013) The impacts of dental filling materials on RapidArc treatment planning and dose delivery: challenges and solution. Medical Physics, 40(8): 081714. [DOI:10.1118/1.4816307]
17. Morsbach F, Bickelhaupt S, Wanner GA, et al. (2013) Reduction of metal artifacts from hip prostheses on CT images of the pelvis: value of iterative reconstructions. Radiology, 268: 237- 244. [DOI:10.1148/radiol.13122089]
18. Maerz M, Mittermair P, Krauss A, et al. (2016) Iterative metal artifact reduction improves dose calculation accuracy. Strahlentherapie und Onkologie, 192: 403-13. [DOI:10.1007/s00066-016-0958-z]
19. Guilfoile C, Rampant P, House M (2017) The impact of smart metal artefact reduction algorithm for use in radiotherapy treatment planning. Australasian Physical & Engineering Sciences in Medicine, 40: 385- 94. [DOI:10.1007/s13246-017-0543-5]
20. Jeong S, Kim SH, Hwang EJ, et al. (2015) Usefulness of a metal artifact reduction algorithm for orthopedic implants in abdominal CT: Phantom and clinical study results. American Journal of Roentgenology, 204: 307-317. [DOI:10.2214/AJR.14.12745]
21. Jarriault AA and Lanaspeze C (2018) Assessment of smart MAR (Metal Artifact Reduction) algorithm for metallic artifact correction in external radiotherapy planning. Physica Medica: European Journal of Medical Physics, 56 (1): 49. [DOI:10.1016/j.ejmp.2018.09.101]
22. Katsura M, Sato J, Akahane M, et al. (2018) Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists. Radiographics, 38(2): 450-461. [DOI:10.1148/rg.2018170102]
Inal A, Barlaz Us S. The effect of MATLAB-based metal artifact reduction software on radiotherapy dose distribution. Int J Radiat Res 2024; 22 (2) :367-372 URL: http://ijrr.com/article-1-5433-en.html