European Radiology

, Volume 15, Issue 4, pp 721–726

Assessment of coronary artery stents using 16-slice MDCT angiography: evaluation of a dedicated reconstruction kernel and a noise reduction filter

  • Harald Seifarth
  • Rainer Raupach
  • Stefan Schaller
  • Eva Maria Fallenberg
  • Thomas Flohr
  • Walter Heindel
  • Roman Fischbach
  • David Maintz
Cardiac

DOI: 10.1007/s00330-004-2594-8

Cite this article as:
Seifarth, H., Raupach, R., Schaller, S. et al. Eur Radiol (2005) 15: 721. doi:10.1007/s00330-004-2594-8

Abstract

To compare the effect of different reconstruction kernels and a noise-reducing postprocessing filter on the delineation of coronary artery stents in 16-slice CT-angiography. Ten patients with coronary stents (seven LAD, five RCX and three RCA) were examined with a 16-slice MDCT using standard acquisition parameters. Images were reconstructed using a medium soft (B30f) and a dedicated, edge-enhancing kernel (B46f). Additional postprocessing with an edge-preserving filter was performed on B46f images to reduce the image noise. In multiplanar reformations (MPRs) along and perpendicular to the stent axis, intraluminal attenuation values and the visible lumen diameter were measured. Image noise was measured in the subcutaneous fat using a region of interest (ROI) technique. Arterial enhancement in the aorta was 275.1 HU. Attenuation in the stent lumen was 390.4, 340.0 and 346.8 HU in MPRs derived from B30f, original B46 and postprocessed B46f images. The mean noise level was 20.4, 35.0 and 24.9 HU respectively. The visible lumen diameter was significantly greater in B46f and postprocessed B46f images (2.17 and 2.16 mm), compared to 1.93 mm in B30f images (p<0.01). Edge-enhancing reconstruction kernels increase the visible stent lumen, but also increase image noise. Dedicated postprocessing filters can reduce the introduced noise without a loss of spatial resolution.

Keywords

Cardiac CT Stent imaging Noise reduction 

Copyright information

© Springer-Verlag 2005

Authors and Affiliations

  • Harald Seifarth
    • 1
  • Rainer Raupach
    • 2
  • Stefan Schaller
    • 2
  • Eva Maria Fallenberg
    • 1
  • Thomas Flohr
    • 2
  • Walter Heindel
    • 1
  • Roman Fischbach
    • 1
  • David Maintz
    • 1
  1. 1.Department of Clinical RadiologyUniversity of MuensterMuensterGermany
  2. 2.Siemens Medical SolutionsForchheimGermany

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