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REVIEW article

Front. Med.

Sec. Nuclear Medicine

Volume 12 - 2025 | doi: 10.3389/fmed.2025.1662020

Recent advances in radionuclide medical imaging techniques

Provisionally accepted
Shuyu  XuShuyu Xu1Ge  LiuGe Liu1Qingyang  WeiQingyang Wei1*Hui  LiuHui Liu2Jing  WuJing Wu3Yaqiang  LiuYaqiang Liu2Zuoxiang  HeZuoxiang He4
  • 1Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
  • 2Department of Engineering Physics, Tsinghua University, Beijing, China
  • 3Center for Advanced Quantum Studies, School of Physics and Astronomy, Beijing Normal University, Beijing, China
  • 4Department of Nuclear Medicine, Beijing Tsinghua Changgung Hospital, Beijing, China

The final, formatted version of the article will be published soon.

Radionuclide imaging combines nuclear technique and medicine through the administration of radioactive drugs into living organisms, followed by imaging with specialized instruments. This technique is essential in modern medicine, facilitating diagnosis, treatment, medical research, exploration of drug mechanisms, and evaluation of drug efficacy. This paper outlines the fundamental principles of radionuclide imaging and highlights recent advancements in the field. It examines traditional imaging techniques such as Positron Emission Tomography (PET), Single Photon Emission Computed Tomography (SPECT), Compton cameras, and multimodal imaging, while also addressing emerging techniques like self-collimation and cascaded gamma photon imaging. Furthermore, it investigates the future prospects of integrated diagnosis and treatment utilizing radiopharmaceuticals. Radionuclide imaging techniques has significantly advanced medical diagnosis, treatment, and pharmaceutical research. Currently, this field is undergoing rapid development, presenting vast potential and promising applications for the future.

Keywords: PET, SPECT, radionuclide, Imaging technique, Cascade gamma photon imaging

Received: 08 Jul 2025; Accepted: 28 Aug 2025.

Copyright: © 2025 Xu, Liu, Wei, Liu, Wu, Liu and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Qingyang Wei, Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.