journal article·2022-04-22Open access

Buildup Factor Computation and Percentage Depth Dose Simulation of Tissue Mimicking Materials for an External Photon Beam (0.15–15 MeV)

Omrane Kadri, Abdulrahman Alfuraih

Applied Sciences· Volume 12· Issue 9

Abstract

Nowadays, the use of tissue mimicking material (TMM) is widespread in both diagnostic and therapeutic medicine, as well as for quality assurance and control. For example, patient exposure evaluation during therapeutic tests has been commonly measured using TMMs. However, only a few materials have been developed for research use at the megavoltage photon energy encountered in medical radiology. In this paper, we extended our previous work to cover the photon energy range of 0.15–15 MeV for five human tissues (adipose, cortical bone, fat, lung and muscle). As a selection criterion for TMM, other than the attenuation coefficient, we introduced the computation of the buildup factor (BUF) for a given couple of energy and depth based on the geometric progression fitting method. Hence, we developed a C++ program able to compute BUF for depths up to 40 mean free path. Moreover, we simulated the percentage depth dose (PDD) of a 6 MV photon beam through each tissue and their equivalent materials using the Geant4 Monte Carlo toolkit (version 10.5). After the comparison of a set of parameters (mass attenuation and mass energy absorption coefficients, BUF, equivalent and effective atomic numbers, electron density, superficial and maximal dose and dose at 10 and 20 cm depths), we found that SB3 (a mixture of epoxy and calcium carbonate) and MS15 (a mixture of epoxy, phenol, polyethylene and aluminum oxide) accurately imitate cortical bone and muscle tissues, respectively. AP6 (a mixture of epoxy, phenol, polyethylene and teflon), glycerol trioleate and LN1 (a mixture of polyurethane and aluminum oxide) are also suitable TMMs for adipose, fat and lung tissues, respectively. Therefore, this work can be useful to physician researchers in dosimetry and radiological diagnosis.
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Research context

OpenAlex topics: Advanced X-ray and CT Imaging · Radiation Dose and Imaging · Radiation Shielding Materials Analysis

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Radiological Sciences, College of Applied Medical Sciences, King Saud University, P.O. Box 10219, Riyadh 11433, Saudi Arabia

National Center for Nuclear Sciences and Technologies, Tunis 2020, Tunisia

References (27)

Show source-provided references
1. Anthropomorphic phantom materials10.1007/978-1-4615-7691-4_3 ↗
2. Vasiliev, V.N., Kostjuchenko, V.I., Riazantsev, O.B., Khaybullin, V.G., Samarin, S.I., and Uglov, A.S. (2010). Tissue equivalence of some phantom materials for proton beams. arXiv.
3. Photon attenuation studies on tropical hardwoods10.1016/0883-2889(91)90182-Z ↗
4. Evaluation of tissue-equivalent materials to be used as human brain tissue substitute in dosimetry for diagnostic radiology10.1016/j.nimb.2010.05.051 ↗
5. Measurement of attenuation coefficients and CT numbers of epoxy resin and epoxy-based Rhizophora spp particle boards in computed tomography energy range10.1016/j.radphyschem.2018.04.001 ↗
6. Construction and characterization of materials equivalent to the tissues and organs of the human body for radiotherapy10.1016/j.radphyschem.2019.01.013 ↗
7. (2007). Particular Requirements for the Basic Safety and Essential Performance of Ultrasonic Medical Diagnostic and Monitoring Equipment. Standard No. IEC 60601-2-37:2007.
8. Tissue mimicking materials in image-guided needle-based interventions: A review Mater10.1016/j.msec.2018.09.028 ↗
9. Tissue mimicking materials for imaging and therapy phantoms: A review
10. White, D.R., Booz, J., Griffith, R.V., Spokas, J.J., and Wilson, I.J. (1989). ICRU Report 44: Tissue Substitutes in Radiation Dosimetry and Measurement. J. ICRU, os23, Available online: https://journals.sagepub.com/toc/crub/os-23/1.10.1093/jicru/os23.1.184 ↗
11. The effective atomic numbers of some biomolecules calculated by two methods: A comparative study10.1118/1.3030952 ↗
12. Energy-absorption buildup factors of some fluorides and sulfates: Thermoluminescent dosimetric materials10.1016/j.matpr.2019.02.183 ↗
13. Kadri, O., and Alfuraih, A. (2022). Search for Tissue Equivalent Materials Based on Exposure and Energy Absorption Buildup Factor Computations. Appl. Sci., 12.10.3390/app12020798 ↗
14. The Beer-Lambert Law10.1021/ed039p333 ↗
15. (1991). American Nuclear Society. Standards Committee, Gamma-Ray Attenuation Coefficients and Buildup Factors for Engineering Materials. Standard No. ANSI/ANS-6. Available online: https://books.google.com.sa/books?id=jKwYyAEACAAJ.
16. Tissue substitutes in experimental radiation physics10.1118/1.594456 ↗
17. Capote, R., Jeraj, R., Ma, C.M., Rogers, D.W.O., Sanchez-Doblado, F., Sempau, J., Seuntjens, J., and Siebers, J.V. (2022, March 03). Phase-Space Database for External Beam Radiotherapy. Summary Report of a Consultants’ Meeting (INDC(NDS)–0484). International Atomic Energy Agency (IAEA). Available online: http://www-nds.iaea.org/reports-new/indc-reports/indc-nds/indc-nds-0484.pdf.
18. An implementation to read and write IAEA phase-space files in GEANT4-based simulations10.3109/09553002.2011.627977 ↗
19. Berger, M.J., Hubbell, J.H., Seltzer, S.M., Chang, J., Coursey, J.S., Sukumar, R., Zucker, D.S., and Olsen, K. (2022, March 03). XCOM: Photon Cross Sections Database, Available online: https://www.nist.gov/pml/xcom-photon-cross-sections-database.
20. Photon energy absorption and exposure buildup factors for deeppenetration in human tissues10.1007/s41365-019-0701-4 ↗
21. X-ray attenuation coefficients of elements and mixtures10.1016/0370-1573(81)90014-4 ↗
22. Validation of GEANT4 Monte Carlo Simulation Code for 6 MV Varian Linac Photon Beam
23. Measurement of depth-dose of linear accelerator and simulation by use of Geant4 computer code10.1016/j.rpor.2010.03.001 ↗
24. Analysis of Percentage Depth Dose for 6 and 15 MV Photon Energies of Medical Linear Accelerator With CC13 Ionization Chamber
25. Comparison of 3D printed nose bolus to traditional wax bolus for cost-effectiveness, volumetric accuracy and dosimetric effect10.1002/jmrs.378 ↗
26. Application of 3D-print silica bolus for nasal NK/T-cell lymphoma radiation therapy10.1093/jrr/rraa084 ↗
27. 3D Printing Polymer-based Bolus Used for Radiotherapy10.18063/ijb.v7i4.414 ↗