A look at radiation detectors and their applications in medical imaging.

Journal: Japanese journal of radiology
Published Date:

Abstract

The effectiveness and precision of disease diagnosis and treatment have increased, thanks to developments in clinical imaging over the past few decades. Science is developing and progressing steadily in imaging modalities, and effective outcomes are starting to show up as a result of the shorter scanning periods needed as well as the higher-resolution images generated. The choice of one clinical device over another is influenced by technical disparities among the equipment, such as detection medium, shorter scan time, patient comfort, cost-effectiveness, accessibility, greater sensitivity and specificity, and spatial resolution. Lately, computational algorithms, artificial intelligence (AI), in particular, have been incorporated with diagnostic and treatment techniques, including imaging systems. AI is a discipline comprised of multiple computational and mathematical models. Its applications aided in manipulating sophisticated data in imaging processes and increased imaging tests' accuracy and precision during diagnosis. Computed tomography (CT), positron emission tomography (PET), and Single Photon Emission Computed Tomography (SPECT) along with their corresponding radiation detectors have been reviewed in this study. This review will provide an in-depth explanation of the above-mentioned imaging modalities as well as the radiation detectors that are their essential components. From the early development of these medical instruments till now, various modifications and improvements have been done and more is yet to be established for better performance which calls for a necessity to capture the available information and record the gaps to be filled for better future advances.

Authors

  • Natacha Usanase
    Operational Research Centre in Healthcare, Near East University, Mersin 10, Nicosia, Turkey. natacha.usanase@neu.edu.tr.
  • Berna Uzun
    DESAM Institute, Near East University, 99138 Nicosia/TRNC, Mersin 10, Turkey.
  • Dilber Uzun Ozsahin
    Near East University, Nicosia/TRNC, Mersin-10, 99138, Turkey.
  • Ilker Ozsahin
    Department of Biomedical Engineering, Faculty of Engineering, Near East University Nicosia, Mersin, Turkey.