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Updated: Jun 9, 2026

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Beyond 0.29±0.02 mm intrinsic spatial resolution based on monolithic crystals using convolutional neural network: a

Liu Linyi1, Zhengguang Gong2, Chaoyi Sun2

  • 1Huazhong University of Science and Technology, Huazhong University of Science and Technology, Wuhan, 430074, China.

Biomedical Physics & Engineering Express
|June 8, 2026
PubMed
Summary

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This summary is machine-generated.

Researchers achieved sub-millimeter spatial resolution in Positron Emission Tomography (PET) systems using monolithic crystal detectors. Advanced algorithms and optimized designs yielded an average intrinsic spatial resolution of 0.29±0.02mm.

Area of Science:

  • Medical Imaging
  • Nuclear Physics
  • Detector Technology

Background:

  • High spatial resolution is critical for Positron Emission Tomography (PET) systems.
  • Monolithic crystal detectors offer potential for sub-millimeter resolution due to sensitivity and cost-effectiveness.
  • Existing challenges include non-linear response functions and suboptimal crystal-photodetector coupling.

Purpose of the Study:

  • To overcome limitations hindering monolithic crystal detectors in PET imaging.
  • To achieve intrinsic spatial resolution below 0.3 mm for enhanced PET performance.
  • To develop and validate novel methods for improving PET spatial resolution.

Main Methods:

  • Developed a deep learning algorithm to accurately determine annihilation event positions from non-linear light distributions.
Keywords:
Monte Carlo simulationsconvolutional neural networksmonolithic crystalssub-millimeter resolution

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  • Implemented a crystal dimension optimization strategy to reduce the "edge effect".
  • Established a quantitative evaluation mechanism using statistical comparison to optimize crystal-sensor coupling.

    • Main Results:

    • The integrated approach achieved an average intrinsic spatial resolution of 0.29±0.02 mm.
    • A peak local resolution of 0.2 mm was recorded.
    • The methods significantly enhanced intrinsic spatial resolution, addressing key detector limitations.

    Conclusions:

    • The proposed solutions effectively address the challenges of non-linear response and coupling in monolithic PET detectors.
    • The achieved sub-millimeter resolution represents a significant advancement in PET imaging.
    • This high resolution enables new applications like single cell tracking and dynamic rodent brain imaging.