Improvement of phoswich detector-based β+/γ-ray discrimination algorithm with deep learning.

Journal: Medical physics
PMID: 37469146

Abstract

BACKGROUND: Positron probes can accurately localize malignant tumors by directly detecting positrons emitted from positron-emitting radiopharmaceuticals that accumulate in malignant tumors. In the conventional method for direct positron detection, multilayer scintillator detection and pulse shape discrimination techniques are used. However, some γ-rays cannot be distinguished by conventional methods. Accordingly, these γ-rays are misidentified as positrons, which may increase the error rate of positron detection.

Authors

  • Chanho Kim
    School of Computer Science Engineering, Kyungpook National University, Daegu 41566, Korea.
  • Semin Kim
    Lulu-lab, AI R&D Center, Seoul, Republic of Korea.
  • Yeeun Lee
    Department of Health Sciences and Technology, Gachon Advanced Institute for Health Sciences and Technology, Gachon University, Incheon 21999, Korea.
  • Chansun Park
    Global Health Technology Research Center, Korea University, Seoul, South Korea.
  • Sangsu Kim
    Global Health Technology Research Center, Korea University, Seoul, South Korea.
  • Hyun Koo Kim
    Department of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Republic of Korea.
  • Jung-Yeol Yeom
    Department of Bioengineering, Korea University, Seoul, South Korea.

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