European Radiology

, Volume 22, Issue 2, pp 295–301 | Cite as

CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT

  • Alban Gervaise
  • Benoît Osemont
  • Sophie Lecocq
  • Alain Noel
  • Emilien Micard
  • Jacques Felblinger
  • Alain Blum
Computed Tomography

Abstract

Objectives

To evaluate the impact of Adaptive Iterative Dose Reduction (AIDR) on image quality and radiation dose in phantom and patient studies.

Methods

A phantom was examined in volumetric mode on a 320-detector CT at different tube currents from 25 to 550 mAs. CT images were reconstructed with AIDR and with Filtered Back Projection (FBP) reconstruction algorithm. Image noise, Contrast-to-Noise Ratio (CNR), Signal-to-Noise Ratio (SNR) and spatial resolution were compared between FBP and AIDR images. AIDR was then tested on 15 CT examinations of the lumbar spine in a prospective study. Again, FBP and AIDR images were compared. Image noise and SNR were analysed using a Wilcoxon signed-rank test.

Results

In the phantom, spatial resolution assessment showed no significant difference between FBP and AIDR reconstructions. Image noise was lower with AIDR than with FBP images with a mean reduction of 40%. CNR and SNR were also improved with AIDR. In patients, quantitative and subjective evaluation showed that image noise was significantly lower with AIDR than with FBP. SNR was also greater with AIDR than with FBP.

Conclusion

Compared to traditional FBP reconstruction techniques, AIDR significantly improves image quality and has the potential to decrease radiation dose.

Key Points

  • This study showed that Adaptive Iterative Dose Reduction (AIDR) reduces image noise.

  • In a phantom image noise was reduced without altering spatial resolution.

  • In patients AIDR reduced the image noise in lumbar spine CT.

  • AIDR can potentially reduce the dose for lumbar spine CT by 52%.

Keywords

Computed tomography Multidetector CT Dose reduction Image quality Iterative reconstruction Lumbar spine 

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Copyright information

© European Society of Radiology 2011

Authors and Affiliations

  • Alban Gervaise
    • 1
    • 2
  • Benoît Osemont
    • 2
  • Sophie Lecocq
    • 2
  • Alain Noel
    • 3
  • Emilien Micard
    • 4
    • 5
  • Jacques Felblinger
    • 4
    • 5
  • Alain Blum
    • 2
  1. 1.Service d’Imagerie MédicaleHôpital d’Instruction des Armées LegouestMetzFrance
  2. 2.Service d’Imagerie Guilloz, CHU NANCYNancyFrance
  3. 3.CRAN UMR CNRS 7039, Centre Alexis VautrinVandoeuvre-lès-NancyFrance
  4. 4.CIT 801, INSERM, CHU NancyVandoeuvre-lès-NancyFrance
  5. 5.IADI, U947, INSERM, CHU NancyVandoeuvre-lès-NancyFrance

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