Iterative reconstruction algorithm for CT: can radiation dose be decreased while low-contrast detectability is preserved?

Radiology. 2013 Nov;269(2):511-8. doi: 10.1148/radiol.13122349. Epub 2013 Jun 20.

Abstract

Purpose: To compare the low-contrast detectability and image quality of computed tomography (CT) at different radiation dose levels reconstructed with iterative reconstruction (IR) and filtered back projection (FBP).

Materials and methods: A custom liver phantom with 12 simulated hypoattenuating tumors (diameters of 5, 10, 15, and 20 mm; tumor-to-liver contrast values of -10, -20, and -40 HU) was designed. The phantom was scanned with a standard abdominal CT protocol with a volume CT dose index of 21.6 mGy (equivalent 100% dose) and four low-dose protocols (20%, 40%, 60%, and 80% of the standard protocol dose). CT data sets were reconstructed with IR and FBP. Image noise was measured, and the tumors' contrast-to-noise ratios (CNRs) were calculated. Tumor detection was independently assessed by three radiologists who were blinded to the CT technique used. A total of 840 simulated tumors were presented to the radiologists. Statistical analyses included analysis of variance.

Results: IR yielded an image noise reduction of 43.9%-63.9% and a CNR increase of 74.1%-180% compared with FBP at the same dose level (P < .001). The overall sensitivity for tumor detection was 64.7%-85.3% for IR and 66.3%-85.7% for FBP at the 20%-100% doses, respectively. There was no significant difference in the sensitivity for tumor detection between IR and FBP at the same dose level (P = .99). The sensitivity of the protocol at the 20% dose with FBP and IR was significantly lower than that of the protocol at the 100% dose with FBP and IR (P = .019).

Conclusion: As the radiation dose at CT decreases, the IR algorithm does not preserve the low-contrast detectability.

Supplemental material: http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.13122349/-/DC1.

Publication types

  • Comparative Study

MeSH terms

  • Algorithms*
  • Equipment Design
  • Humans
  • Liver Neoplasms / diagnostic imaging
  • Phantoms, Imaging
  • Radiation Dosage*
  • Radiographic Image Interpretation, Computer-Assisted*
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed / methods*