Progress in Medical Physics (한국의학물리학회지:의학물리)

Korean Society of Medical Physics (한국의학물리학회)
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TET2DICOM-GUI: Graphical User Interface Based TET2DICOM Program to Convert Tetrahedral-Mesh-Phantom to DICOM-RT Dataset

  • Se Hyung Lee (Department of Nuclear Engineering, Hanyang University) ;
  • Bo-Wi Cheon (Department of Radiation Convergence Engineering, Yonsei University) ;
  • Chul Hee Min (Department of Radiation Convergence Engineering, Yonsei University) ;
  • Haegin Han (Department of Nuclear Engineering, Hanyang University) ;
  • Chan Hyeong Kim (Department of Nuclear Engineering, Hanyang University) ;
  • Min Cheol Han (Department of Radiation Oncology, Yonsei University College of Medicine) ;
  • Seonghoon Kim (Department of Radiation Oncology, Hanyang University Medical Center)
  • Received : 2022.12.13
  • Accepted : 2022.12.28
  • Published : 2022.12.31
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Abstract

Recently, tetrahedral phantoms have been newly adopted as international standard mesh-type reference computational phantoms (MRCPs) by the International Commission on Radiological Protection, and a program has been developed to convert them to computational tomography images and DICOM-RT structure files for application of radiotherapy. Through this program, the use of the tetrahedral standard phantom has become available in clinical practice, but utilization has been difficult due to various library dependencies requiring a lot of time and effort for installation. To overcome this limitation, in this study a newly developed TET2DICOM-GUI, a TET2DICOM program based on a graphical user interface (GUI), was programmed using only the MATLAB language so that it can be used without additional library installation and configuration. The program runs in the same order as TET2DICOM and has been optimized to run on a personal computer in a GUI environment. A tetrahedron-based male international standard human phantom, MRCP-AM, was used to evaluate TET2DICOM-GUI. Conversion into a DICOM-RT dataset applicable in clinical practice in about one hour with a personal computer as a basis was confirmed. Also, the generated DICOM-RT dataset was confirmed to be effectively implemented in the radiotherapy planning system. The program developed in this study is expected to replace actual patient data in future studies.

Keywords

Acknowledgement

This work was supported by the Basic Science Research Program through the Nation Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2021R1I1A1A01057995).

References

  1. Hadad K, Saeedi-Moghadam M, Zeinali-Rafsanjani B. Voxel dosimetry: comparison of MCNPX and DOSXYZnrc Monte Carlo codes in patient specific phantom calculations. Technol Health Care. 2017;25:29-35.
  2. Peng Z, Gao N, Wu B, Chen Z, Xu, XG. A review of computational phantoms for quality assurance in radiology and radiotherapy in the deep-learning era. J Radiat Prot Res. 2022;47:111-133. https://doi.org/10.14407/jrpr.2021.00402
  3. Han MC, Seo JM, Lee SH, Kim CH, Yeom YS, Nguyen TT, et al. Continuously deforming 4D voxel phantom for realistic representation of respiratory motion in Monte Carlo dose calculation. IEEE Trans Nucl Sci. 2016;63:2918-2924. https://doi.org/10.1109/TNS.2016.2601080
  4. Lee C, Jung JW, Pelletier C, Pyakuryal A, Lamart S, Kim JO, et al. Reconstruction of organ dose for external radiotherapy patients in retrospective epidemiologic studies. Phys Med Biol. 2015;60:2309-2324.
  5. Griffin KT, Mille MM, Pelletier C, Gopalakrishnan M, Jung JW, Lee C, et al. Conversion of computational human phantoms into DICOM-RT for normal tissue dose assessment in radiotherapy patients. Phys Med Biol. 2019;64:13NT02.
  6. Yeom YS, Kuzmin G, Griffin K, Mille M, Polf J, Langner U, et al. A Monte Carlo model for organ dose reconstruction of patients in pencil beam scanning (PBS) proton therapy for epidemiologic studies of late effects. J Radiol Prot. 2020;40:225-242. https://doi.org/10.1088/1361-6498/ab437d
  7. Yeom YS, Griffin KT, Mille MM, Lee C, O'Reilly S, Dong L, et al. Fetal dose from proton pencil beam scanning craniospinal irradiation during pregnancy: a Monte Carlo study. Phys Med Biol. 2022;67:035003.
  8. Yeom YS, Griffin K, Mille M, Jung JW, Lee C, Lee C. A dose voxel kernel method for rapid reconstruction of out-of-field neutron dose of patients in pencil beam scanning (PBS) proton therapy. Phys Med Biol. 2020;65:175015.
  9. Wang Z, Virgolin M, Balgobind BV, van Dijk IWEM, Smith SA, Howell RM, et al. Validation and comparison of radiograph-based organ dose reconstruction approaches for Wilms tumor radiation treatment plans. Adv Radiat Oncol. 2022;7:101015.
  10. Hauri P, Radonic S, Vasi F, Ernst M, Sumila M, Mille MM, et al. Development of whole-body representation and dose calculation in a commercial treatment planning system. Z Med Phys. 2022;32:159-172.
  11. Kim CH, Yeom YS, Petoussi-Henss N, Zankl M, Bolch WE, Lee C, et al. ICRP Publication 145: Adult mesh-type reference computational phantoms. Ann ICRP. 2020;49:13-201. https://doi.org/10.1177/0146645319893605
  12. Kim CH, Yeom YS, Nguyen TT, Han MC, Choi C, Lee H, et al. New mesh-type phantoms and their dosimetric applications, including emergencies. Ann ICRP. 2018;47:45-62. https://doi.org/10.1177/0146645318756231
  13. Yeom YS, Jeong JH, Han MC, Kim CH. Tetrahedral-mesh-based computational human phantom for fast Monte Carlo dose calculations. Phys Med Biol. 2014;59:3173-3185. https://doi.org/10.1088/0031-9155/59/12/3173
  14. Yeom YS, Choi C, Shin B, Kim S, Han H, Moon S, et al. New thyroid models for ICRP pediatric mesh-type reference computational phantoms. Nucl Eng Technol. 2022;54:4698-4707. https://doi.org/10.1016/j.net.2022.08.008
  15. Park M, Kim HS, Yoo J, Kim CH, Jang WI, Park S. Virtual calibration of whole-body counters to consider the size dependency of counting efficiency using Monte Carlo simulations. Nucl Eng Technol. 2021;53:4122-4129. https://doi.org/10.1016/j.net.2021.06.026
  16. Shin B, Choi C, Yeom YS, Han H, Nguyen TT, Ha S, et al. Detailed tooth models for ICRP mesh-type reference computational phantoms. J Radiol Prot. 2021;41:669-688. https://doi.org/10.1088/1361-6498/abeaf9
  17. Choi C, Shin B, Yeom YS, Nguyen TT, Han H, Ha S, et al. Development of paediatric mesh-type reference computational phantom series of International Commission on Radiological Protection. J Radiol Prot. 2021;41:S160-S171. https://doi.org/10.1088/1361-6498/ac0801
  18. Choi C, Shin B, Yeom YS, Han H, Ha S, Moon S, et al. Development of skeletal systems for ICRP pediatric mesh-type reference computational phantoms. J Radiol Prot. 2021;41:139-161. https://doi.org/10.1088/1361-6498/abd88d
  19. Han H, Yeom YS, Nguyen TT, Choi C, Shin B, Moon S, et al. Development of detailed pediatric eye models for lens dose calculations. J Radiol Prot. 2021;41:305-425. https://doi.org/10.1088/1361-6498/abfa32
  20. Yeom YS, Griffin K, Han H, Choi C, Shin B, Nguyen TT, et al. Dose conversion coefficients for neutron external exposures with five postures: walking, sitting, bending, kneeling, and squatting. Radiat Environ Biophys. 2021;60:317-328. https://doi.org/10.1007/s00411-021-00900-2
  21. Carter LM, Choi C, Krebs S, Beattie BJ, Kim CH, Schoder H, et al. Patient size-dependent dosimetry methodology applied to 18F-FDG using new ICRP mesh phantoms. J Nucl Med. 2021;62:1805-1814.
  22. Yeom YS, Han H, Choi C, Shin B, Kim CH, Lee C. Dose coefficients of percentile-specific computational phantoms for photon external exposures. Radiat Environ Biophys. 2020;59:151-160. https://doi.org/10.1007/s00411-019-00818-w
  23. Cheon BW, Lee SH, Han MC, Min CH, Han H, Kim CH, et al. Development of a novel program for conversion from tetrahedral-mesh-based phantoms to DICOM dataset for radiation treatment planning: TET2DICOM. J Appl Clin Med Phys. 2022;23:e13448.