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Related Experiment Video

Updated: Jun 26, 2025

Quantitative Mapping of Specific Ventilation in the Human Lung using Proton Magnetic Resonance Imaging and Oxygen as a Contrast Agent
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Quantitative accuracy of lung function measurement using parametric response mapping: A virtual imaging study.

Amar Kavuri1, Fong Chi Ho1, Mobina Ghojogh-Nejad1

  • 1Center for Virtual Imaging Trials, Department of Radiology, Duke University, United States.

Proceedings of Spie--The International Society for Optical Engineering
|May 20, 2024
PubMed
Summary
This summary is machine-generated.

Parametric response mapping (PRM) for COPD assessment shows variability with CT scanner settings. Photon-counting CT, higher dose, and smoother kernels improve PRM accuracy.

Keywords:
COPDChronic obstructive pulmonary diseaseLung CT biomarkerPRMParametric response mappingQuantitative CTVirtual imaging trialsXCAT

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Area of Science:

  • Quantitative imaging biomarkers
  • Pulmonary disease assessment
  • Medical imaging physics

Background:

  • Parametric response mapping (PRM) is a quantitative CT imaging biomarker for COPD.
  • PRM accuracy is affected by scanner settings and patient conditions.
  • Variability in PRM measurements impacts clinical utility.

Purpose of the Study:

  • To evaluate the variability of PRM measurements due to changes in CT scanner types and configurations.
  • To assess the impact of different acquisition settings on PRM accuracy.
  • To validate the use of virtual imaging tools for biomarker assessment.

Main Methods:

  • Developed 10 human chest models with emphysema and air-trapping.
  • Simulated CT imaging using DukeSim for energy-integrating and photon-counting CT systems.
  • Estimated PRM maps and compared quantified measurements with ground truth.

Main Results:

  • PRM measurements varied significantly with scanner type and configurations.
  • Emphysema volume was overestimated by 3 ± 9.5% and functional small airway disease (fSAD) volume underestimated by 7.5 ± 19%.
  • Photon-counting CT, higher dose, smoother kernel, and larger pixel size improved PRM accuracy and precision.

Conclusions:

  • CT scanner parameters influence PRM quantitative accuracy.
  • Virtual imaging tools are valuable for assessing quantitative biomarker variability.
  • Optimizing CT acquisition protocols is crucial for reliable PRM measurements in COPD.