Innovative Bioplastic-Lead Composites for Radiation Dose Reduction in Femur Examinations: Optimizing Portrait and Diagonal Detector Positions Through Image and Anatomical Analysis

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Radiation is essential in medical diagnostics but poses health risks, necessitating effective shielding to minimize exposure. This research evaluates cassava starch-based bioplastic-lead as an alternative radiation shielding material in femur radiography using Anteroposterior (AP) and Lateral projections with portrait and diagonal detector positions. Bioplastic samples with a 45:55 ratio of cassava starch and lead acetate were tested on a preserved human femur with and without shielding. Image processing using the Gaussian High Pass Filter (GHPF) method and analysis with Contrast to Noise Ratio (CNR) and Peak Signal to Noise Ratio (PSNR) were conducted to assess image quality. Results showed that lead bioplastics achieved 49.4% radiation absorption, with optimal anatomical visualization at cut-off frequencies of 5 and 10, while higher frequencies led to image distortions resembling osteoporosis. The best CNR and PSNR values confirmed improved image contrast while maintaining diagnostic accuracy. This research demonstrates that lead bioplastic effectively reduces radiation dose while preserving image quality, making it a promising alternative shielding material for medical imaging applications

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January 2026

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[1] A. F. Septiano, H. Sutanto H. and Susilo, Fabrication and analysis of radiation dose for elastic lead polyester composites as a glass coating, Journal Of Physics: Conf Series. 1567. (2020).

DOI: 10.1088/1742-6596/1567/4/042089

Google Scholar

[2] A. A. Oglat, Researching the radiation absorption and scattering of gamma rays by using different absorbers, Radiation Physics and Chemistry. 172.108810. (2020).

DOI: 10.1016/j.radphyschem.2020.109072

Google Scholar

[3] A. F. Septiano, H. Sutanto, and Susilo, Synthesis and characterization of resin lead acetate composites and ability test of X-ray protection, Journal Of Physics: Conf Series. 1918 (2021).

DOI: 10.1088/1742-6596/1918/2/022003

Google Scholar

[4] D. Welborn, P. Lockwood, Lead-rubber shielding effect on radiation dose to the gonads from a bilateral hand X-ray examination, Radiography 28. 360-365(2022).

DOI: 10.1016/j.radi.2021.12.013

Google Scholar

[5] K.V. Sathish, H.C Manjunatha, and Y. S. Vidya, Investigations on Radiation Shielding properties of Leadaluminoborate nanocomposite, Progress In Nuclear Energy. 137.103788 (2021).

DOI: 10.1016/j.pnucene.2022.104310

Google Scholar

[6] C.D. Umeh, K.K Agwu, and C.M.I. Okoye, Characterization of the radiation shielding properties of fired lead sample for X-ray shielding applications, Progress In Nuclear Energy. 137. 10375 (2021).

DOI: 10.1016/j.pnucene.2021.103765

Google Scholar

[7] M. Elsafi, H. Al-Ghamdi, and M.I. Sayyed, Optimizing the gamma-ray shielding behaviors for polypropylene using lead oxide: a detailed examination, Journal of Materials Research and Technology, 19:1862-1872 (2022).

DOI: 10.1016/j.jmrt.2022.05.128

Google Scholar

[8] E. Hannachi, Y. Slimani , and M.I. Sayyed, Synthesis of lead oxide doped SmBa2Cu3Oy ceramic systems as efficient shields against γ radiations: Structure, radiation attenuating capacities, and optical features, Ceramics International.07.124 (2022).

DOI: 10.1016/j.ceramint.2022.07.124

Google Scholar

[9] S.A. Hashemi, M. Karimipourfard, and S.M. Mousavi, Transparent sodium polytungstate polyoxometalate aquatic shields toward effective X-ray radiation protection: Alternative to lead glasses, Material Today Communications. 31. 103822 (2022).

DOI: 10.1016/j.mtcomm.2022.103822

Google Scholar

[10] S. Nigam, A.K. Das, and M K.Patidar, Synthesis, characterization and biodegradation of bioplastic films produced from Parthenium hysterophorus by incorporating a plasticizer (PEG600), Enviromental Challenges.5. 100280 (2021).

DOI: 10.1016/j.envc.2021.100280

Google Scholar

[11] G. Chen, Z. Wu, Z. Hen, Scalable, strong and water-stable wood-derived bioplastic, Chemical Engineering Journal. 439. 135680 (2022).

DOI: 10.1016/j.cej.2022.135680

Google Scholar

[12] N.H. Yusoff, K. Pal, and T. Narayanan, Recent trends on bioplastics synthesis and characterizations: Polylactic acid (PLA) incorporated with tapioca starch for packaging applications, Journal of Molucular Structure. 1232. 129954 (2021).

DOI: 10.1016/j.molstruc.2021.129954

Google Scholar

[13] Y. Zoungranan, E. Lynda, K.K.D. Brice, and E. Tchirioua, Influence of natural factors on the biodegradation of simple and composite bioplastics based on cassava starch and corn starch, Journal of Environmental Chemical Engineering. 8. 104396 (2020).

DOI: 10.1016/j.jece.2020.104396

Google Scholar

[14] S.N. Ayyubi, A. Purbasari, and Kusmiyati, The effect of composition on mechanical properties of biodegradable plastic based on chitosan/cassava starch/PVA/crude glycerol: Optimization of the composition using Box Behnken Design, Material Today: Proceedings. 63. S78-S83 (2022).

DOI: 10.1016/j.matpr.2022.01.294

Google Scholar

[15] S Edirisinghe, D D Silva, and H Dissanayake, Anatomical Diversity in Femur bones: Understanding the Morphological Variability for Surgical and Prosthetic Applications, International Journal of Morphology. 42(1):162-165, (2024).

DOI: 10.4067/S0717-95022024000100162

Google Scholar

[16] B W Long, J Rollins, and B Smith, Merrill's Atlas of Radiographic Positioning and Radiological Procedure. Pennsylvania, Mosby.

Google Scholar

[17] V Beaulah, P Sridevi and K.S. Ravali, Hindlimb Skeletal Structure of the Green-winged Macaw: An Anatomical Research.

DOI: 10.56557/UPJOZ/2024/v45i104042

Google Scholar

[18] K Zhang, W Chen, Y Zhang, Proximal Femur Bionic Nail (PFBN): A Panacea for Unstable Intertrochanteric Femur Fracture, Engineering. 37. 152-158. (2024).

DOI: 10.1016/j.eng.2024.01.010

Google Scholar

[19] J Wu, Y Che, Y Zhang et all, Global, regional, national trends of femur fracture and machine learning prediction: Comprehensive findings and questions from global burden of disease 1990–2019, Journal of Orthopaedic Translation. 46-52 (2024).

DOI: 10.1016/j.jot.2024.03.002

Google Scholar

[20] S Babhulkar, V Trikha, S Babhulkar et all, Current Concepts in Management of Distal Femur Fractures, Injury. 55. 111357. (2024).

DOI: 10.1016/j.injury.2024.111357

Google Scholar

[21] Shuya Nohmi, Hirotaka Oishi, Yukiko Sakamoto, Posterior hip fracture-dislocation associated with posterior wall fracture of the acetabulum and ipsilateral comminuted trochanteric fracture of the femur: A case report, International Journal Of Surgery Case Reports. 94. 107075. (2022).

DOI: 10.1016/j.ijscr.2022.107075

Google Scholar

[22] A D Fattarizka and H S Utami, Case Research: Antero-Posterior Projection of Pelvis Radiographic Examination Techniques in the Diagnosis of Hemiarthroplasty, Proceedings Series on Health & Medical Sciences, Volume 2 (2022).

DOI: 10.30595/pshms.v2i.235

Google Scholar

[23] M O'Connor, K Matthews, An objective approach to including the entire femur on one antero-posterior projection, Radiography. 20. 53-57. (2014).

DOI: 10.1016/j.radi.2013.09.005

Google Scholar

[24] John Lampignano, Leslie E. Kendrick. Bontrager's Textbook of Radiographic Positioning and Related Anatomy. (2017) ISBN: 9780323399661.

Google Scholar

[25] B.J. Chung, Y.J. Kang, C.B. Chang, S. Kim and T.K. Kim, Differences between Sagittal Femoral Mechanical and Distal Reference Axes Should Be Considered in Navigated TKA, Clin Orthop Relat Res (2009) 467:2403–2413.

DOI: 10.1007/s11999-009-0762-5

Google Scholar

[26] M.S. Shaikh, A. Choudhry and R. Wadhwani, Analysis of Digital Image Filters in Frequency Domain, International Journal of Computer Applications (0975 – 8887), Volume 140 – No.6, April (2016).

DOI: 10.5120/IJCA2016909330

Google Scholar

[27] S.A. Jameel and A.R. M. Shanavas, Implementation of Improved Gaussian Filter Algorithm for Retinal Fundus Images, International Journal of Computer Applications (0975 – 8887), Volume 132 – No.8, December (2015).

DOI: 10.5120/ijca2015907489

Google Scholar

[28] E. Setiawati, C. Anam, W. Widyasari and G. Dougherty, The Quantitative Effect of Noise and Object Diameter on Low-Contrast Detectability of AAPM CT Performance Phantom Images, Atom Indonesia Vol. 49 No.1 (2023) 61 – 66.

DOI: 10.55981/aij.2023.1228

Google Scholar

[29] A.F. Septiano, Susilo and N.E. Setyaningsih, Indones. Analisis Citra Hasil Scanning Electron Microscopy Energy Dispersive X-Ray (SEM EDX) Komposit Resin Timbal dengan Metode Contrast to Noise Ratio (CNR), J. Math. Nat. Sci. 44(2) (2021).

DOI: 10.15294/ijmns.v44i2.33143

Google Scholar

[30] B. Zhang, Y. Zhang, B. Wang, X. He, F. Zhang, and X. Zhang, Denoising swin transformer and perceptual peak signal-to-noise ratio for low-dose CT image denoising, Measurement 227 (2024) 114303.

DOI: 10.1016/j.measurement.2024.114303

Google Scholar

[31] M.Z Iskandarani, Damage Characterization of Composite Structures Using Difference Peak Signal-to-Noise Ratio as a Function of Variable Wavelets (ΔPSNR-ΔW), Engineering, 8, 204-225 (2016).

DOI: 10.4236/eng.2016.84018

Google Scholar

[32] N. Subramaniyan., J.J.U. Buch , A. A. Prince, and S Pathak, De-noising of microwave reflectometry signal using maximal overlap discrete wavelet packet transform for plasma density measurement, Measurement 222 (2023) 113564.

DOI: 10.1016/j.measurement.2023.113564

Google Scholar

[33] A.F. Septiano, I. Maulana, and Susilo, Fabrikasi dan Karakterisasi Bioplastik Timbal Sebagai Bahan Alternatif Proteksi Radiasi Sinar-X, Jupeten, 3 (2), 46 – 51 (2023).

DOI: 10.53862/jupeten.v3i2.008

Google Scholar