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Optimizing energy threshold selection for low-concentration contrast agent quantification in small animal

Xiaoyu Hu1, Yuncheng Zhong1, Xun Jia1

  • 1Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins University, Baltimore, MD, United States of America.

Physics in Medicine and Biology
|January 21, 2025
PubMed
Summary

Selecting optimal energy thresholds in photon-counting detector CT (PCCT) improves gold nanoparticle (GNP) quantification. This study identified specific thresholds for 2- and 3-channel PCCT to minimize imaging errors for low-GNP concentrations.

Keywords:
gold nanoparticle quantificationmaterial decompositionphoton-counting detector

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Area of Science:

  • Medical Imaging
  • Nanotechnology
  • Biomedical Engineering

Background:

  • Gold nanoparticles (GNPs) are vital in biological research but challenging to image in vivo at low concentrations due to safety concerns.
  • Accurate quantification of low-concentration GNPs is crucial for various biomedical applications, necessitating advanced imaging techniques.

Purpose of the Study:

  • To determine optimal energy threshold settings for photon-counting detector CT (PCCT) to accurately quantify low concentrations of GNPs.
  • To investigate the impact of energy threshold selection on material decomposition error in gold imaging.

Main Methods:

  • Derived a mathematical expression for the upper bound of material decomposition error in gold images.
  • Conducted comprehensive simulations of cylindrical phantoms with varying GNP concentrations using a 140 kVp X-ray beam.
  • Evaluated PCCT energy thresholds from 30 to 110 keV for 2- and 3-channel systems to find optimal settings minimizing decomposition error.

Main Results:

  • Identified optimal energy thresholds: 44 keV for 2-channel PCCT and {34, 40} keV for 3-channel PCCT to minimize gold image decomposition error.
  • Validated derived upper bounds of decomposition error through numerical simulations.
  • Demonstrated that optimal threshold selection requires balancing photon counting noise and decomposition matrix properties.

Conclusions:

  • Appropriate energy threshold selection is critical for accurate pre-clinical PCCT quantification of contrast agents like GNPs.
  • The study provides specific optimal thresholds and a framework for selecting them to enhance imaging accuracy.
  • Balancing noise and matrix properties during threshold selection is key for precise material decomposition.