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Related Experiment Video

Updated: May 29, 2026

Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Equating quantitative emphysema measurements on different CT image reconstructions.

Seth T Bartel1, Andrew J Bierhals, Thomas K Pilgram

  • 1Mallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

Medical Physics
|September 21, 2011
PubMed
Summary

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Mathematical models accurately convert emphysema index measurements between different CT image reconstructions. Power functions effectively standardize quantitative emphysema analysis across varying section thicknesses and kernels.

Area of Science:

  • Radiology
  • Medical Imaging
  • Pulmonary Medicine

Background:

  • Quantitative CT analysis of emphysema is sensitive to image reconstruction parameters like section thickness and kernel type.
  • Standardization is crucial for reliable emphysema assessment in clinical practice and research, particularly in lung cancer screening.

Purpose of the Study:

  • To develop mathematical models correlating emphysema index measurements from various CT reconstructions.
  • To assess the accuracy of these models in converting measurements to a reference standard reconstruction.

Main Methods:

  • CT data from 138 heavy smokers were reconstructed using 15 different section thickness/kernel combinations.
  • Emphysema index (EI950) was quantified. Linear, quadratic, and power functions modeled relationships between EI950 values.

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  • Model selection used AICc, R2, and residuals; cross-validation employed a jackknife approach.

    • Main Results:

    • Power functions proved to be the preferred models, achieving high R2 values (0.949–0.998).
    • Conversion errors to the reference reconstruction were generally low (<3.0 index percentage points), with five reconstructions showing <1.0 point error.
    • Conversion accuracy was influenced by image noise, emphysema distribution, and histogram parameters; sharper kernels' inaccuracy was mitigated by thicker sections.

    Conclusions:

    • Power functions successfully modeled and accounted for image reconstruction-related variations in quantitative emphysema measurements.
    • These models facilitate more consistent and comparable emphysema quantification across different CT acquisition and reconstruction protocols.