European Radiology Experimental (Nov 2018)

Emphysema quantification using chest CT: influence of radiation dose reduction and reconstruction technique

  • Annemarie M. den Harder,
  • Erwin de Boer,
  • Suzanne J. Lagerweij,
  • Martijn F. Boomsma,
  • Arnold M. R. Schilham,
  • Martin J. Willemink,
  • Julien Milles,
  • Tim Leiner,
  • Ricardo P. J. Budde,
  • Pim A. de Jong

Journal volume & issue
Vol. 2, no. 1
pp. 1 – 10


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Abstract Background Computed tomography (CT) emphysema quantification is affected by both radiation dose (i.e. image noise) and reconstruction technique. At reduced dose, filtered back projection (FBP) results in an overestimation of the amount of emphysema due to higher noise levels, while the use of iterative reconstruction (IR) can result in an underestimation due to reduced noise. The objective of this study was to determine the influence of dose reduction and hybrid IR (HIR) or model-based IR (MIR) on CT emphysema quantification. Methods Twenty-two patients underwent inspiratory chest CT scan at routine radiation dose and at 45%, 60% and 75% reduced radiation dose. Acquisitions were reconstructed with FBP, HIR and MIR. Emphysema was quantified using the 15th percentile of the attenuation curve and the percentage of voxels below -950 HU. To determine whether the use of a different percentile or HU threshold is more accurate at reduced dose levels and with IR, additional measurements were performed using different percentiles and HU thresholds to determine the optimal combination. Results Dose reduction resulted in a significant overestimation of emphysema, while HIR and MIR resulted in an underestimation. Lower HU thresholds with FBP at reduced dose and higher HU thresholds with HIR and MIR resulted in emphysema percentages comparable to the reference. The 15th percentile quantification method showed similar results as the HU threshold method. Conclusions This within-patients study showed that CT emphysema quantification is significantly affected by dose reduction and IR. This can potentially be solved by adapting commonly used thresholds.