Advancing X-Ray Medical Imaging through Compton Scattering Technologies: A Systematic Review of Technological Developments and AI-Based Image Reconstruction

Authors

  • Neysya Ditha Ramadhani Department of Physics Education, Faculty of Teacher Training and Education, Universitas Sriwijaya, Jl. Raya Palembang - Prabumulih No.KM. 32, Indralaya Indah, Indralaya, Ogan Ilir Regency, South Sumatra 30862
  • Murnia Department of Physics Education, Faculty of Teacher Training and Education, Universitas Sriwijaya, Jl. Raya Palembang - Prabumulih No.KM. 32, Indralaya Indah, Indralaya, Ogan Ilir Regency, South Sumatra 30862
  • Rania Dwicahyani Department of Physics Education, Faculty of Teacher Training and Education, Universitas Sriwijaya, Jl. Raya Palembang - Prabumulih No.KM. 32, Indralaya Indah, Indralaya, Ogan Ilir Regency, South Sumatra 30862
  • Hamdi Akhsan Department of Physics Education, Faculty of Teacher Training and Education, Universitas Sriwijaya, Jl. Raya Palembang - Prabumulih No.KM. 32, Indralaya Indah, Indralaya, Ogan Ilir Regency, South Sumatra 30862
  • Melly Ariska Department of Physics Education, Faculty of Teacher Training and Education, Universitas Sriwijaya, Jl. Raya Palembang - Prabumulih No.KM. 32, Indralaya Indah, Indralaya, Ogan Ilir Regency, South Sumatra 30862

DOI:

https://doi.org/10.21009/SPEKTRA.102.05

Keywords:

compton scattering, x-ray imaging, compton tomography, inverse compton source, image reconstruction, machine learning, medical diagnostics

Abstract

Compton scattering has emerged as a promising advancement in X-ray medical imaging, offering enhanced spatial resolution and diagnostic precision compared to conventional techniques. This study employs a Systematic Literature Review (SLR) to evaluate the contributions of Compton scattering technologies in improving imaging performance. Forty peer-reviewed articles were selected from six major databases including Google Scholar, Scopus, PubMed, Web of Science, ScienceDirect, and arXiv based on predefined inclusion criteria. The review identifies three main technological approaches which are Compton cameras, inverse Compton X-ray sources, and Compton scattering tomography. Recent innovations in image reconstruction, particularly using deep learning and convolutional neural networks, have significantly improved image quality, reduced noise, and enhanced computational efficiency. These findings underscore Compton scattering’s clinical potential, especially in soft tissue visualization and early lesion detection. This paper provides a detailed overview of current progress and strategic pathways in the development of Compton based imaging systems towards their clinical application.

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Published

2025-08-31

How to Cite

Ramadhani, N. D., Murnia, Dwicahyani, R., Akhsan, H., & Ariska, M. (2025). Advancing X-Ray Medical Imaging through Compton Scattering Technologies: A Systematic Review of Technological Developments and AI-Based Image Reconstruction. Spektra: Jurnal Fisika Dan Aplikasinya, 10(2), 127–140. https://doi.org/10.21009/SPEKTRA.102.05

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Vol. 10 No. 2 (2025): SPEKTRA: Jurnal Fisika dan Aplikasinya, Volume 10 Issue 2, August 2025

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Articles

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Copyright (c) 2025 Neysya Ditha Ramadhani, Murnia, Rania Dwicahyani, Hamdi Akhsan, Melly Ariska

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