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Updated: May 13, 2026

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Lung counting with a highly segmented HPGe detector.

Henri Jutila1, Paul Greenlees1, Panu Rahkila2

  • 1Accelerator Laboratory, Department of Physics, University of Jyväskylä, FI-40014 Jyväskylä, Finland; Helsinki Institute of Physics, University of Helsinki, P.O. Box 64, FI-00014 Helsinki, Finland.

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|July 26, 2024
PubMed
Summary
This summary is machine-generated.

A new detector design significantly improves minimum detectable activity (MDA) for lung imaging. Optimized shielding and segmentation reduce background noise, enhancing low-energy gamma ray detection in mobile counting units.

Keywords:
Anthropomorphic phantomHighly segmented HPGe detectorLung countingMDA

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Area of Science:

  • Nuclear instrumentation
  • Medical physics
  • Radiation detection

Background:

  • Accurate measurement of internal radioactive contamination, such as Americium-241 (Am-241) in the lungs, is crucial for radiation protection.
  • Low-energy gamma ray detection is challenging due to background radiation, especially in mobile whole-body counting applications.
  • High-Purity Germanium (HPGe) detectors offer excellent energy resolution but require optimization for specific measurement scenarios.

Purpose of the Study:

  • To investigate the impact of detector segmentation and shielding configurations on the Minimum Detectable Activity (MDA) for Am-241 lung measurements.
  • To evaluate the effectiveness of background suppression techniques in improving detection limits for low-energy gamma rays.
  • To explore potential applications of optimized HPGe detectors in mobile whole-body counting.

Main Methods:

  • Utilized a highly segmented High-Purity Germanium (HPGe) detector system.
  • Measured Am-241 activity within an anthropomorphic phantom simulating lung deposition.
  • Tested various active and passive shielding configurations, including anti-Compton shields and backplates.
  • Analyzed the influence of detector segmentation (depth and lateral) on MDA after veto.

Main Results:

  • Achieved a significant reduction in MDA, up to 57%, through optimized detector segmentation and shielding.
  • Found that background suppression shields had a limited impact on MDA after veto when depth segmentation was employed for low-energy gamma rays.
  • Demonstrated that thinner lateral segmentation and an optimized anti-Compton shield with a backplate could further improve MDA.

Conclusions:

  • Detector segmentation, particularly in the depth direction, is critical for reducing MDA when measuring low-energy gamma rays with HPGe detectors.
  • Optimized shielding and segmentation strategies can substantially enhance the sensitivity of HPGe detectors for internal contamination monitoring.
  • The developed detector configuration shows promise for improving the performance of mobile whole-body counting units in challenging background environments.