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

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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.

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References

  1. Ropers D, Baum U, Pohle K, Anders K, Ulzheimer S, Ohnesorge B, Schlundt C, Bautz W, Daniel WG, Achenbach S (2003) Detection of coronary artery stenoses with thin-slice multi-detector row spiral computed tomography and multiplanar reconstruction. Circulation 107:664–666

    Google Scholar 

  2. Nieman K, Cademartiri F, Lemos PA, Raaijmakers R, Pattynama PM, de Feyter PJ (2002) Reliable noninvasive coronary angiography with fast submillimeter multislice spiral computed tomography. Circulation 106:2051–2054

    Google Scholar 

  3. American Heart Association (2003) Heart and stroke statistical update, 2004. American Heart Association, Dallas

  4. Mohlenkamp S, Pump H, Baumgart D, Haude M, Gronemeyer DH, Seibel RM, Schwartz RS, Erbel R (1999) Minimally invasive evaluation of coronary stents with electron beam computed tomography: in vivo and in vitro experience. Catheter Cardiovasc Interv 48:39–47

    Google Scholar 

  5. Maintz D, Juergens KU, Wichter T, Grude M, Heindel W, Fischbach R (2003) Imaging of coronary artery stents using multislice computed tomography: in vitro evaluation. Eur Radiol 13:830–835

    PubMed  Google Scholar 

  6. Pump H, Mohlenkamp S, Sehnert CA, Schimpf SS, Schmidt A, Erbel R, Gronemeyer DH, Seibel RM (2000) Coronary arterial stent patency: assessment with electron-beam CT. Radiology 214:447–452

    Google Scholar 

  7. Kruger S, Mahnken AH, Sinha AM, Borghans A, Dedden K, Hoffmann R, Hanrath P (2003) Multislice spiral computed tomography for the detection of coronary stent restenosis and patency. International J Cardiol 89:167–172

    Google Scholar 

  8. Knollmann FD, Moller J, Gebert A, Bethge C, Felix R (2004) Assessment of coronary artery stent patency by electron-beam CT. Eur Radiol 14:1341–1347

    Article  PubMed  Google Scholar 

  9. Mahnken AH, Buecker A, Wildberger JE, Ruebben A, Stanzel S, Vogt F, Gunther RW, Blindt R (2004) Coronary artery stents in multislice computed tomography: in vitro artifact evaluation. Invest Radiol 39:27–33

    Google Scholar 

  10. Maintz D, Seifarth H, Flohr T, Kramer S, Wichter T, Heindel W, Fischbach R (2003) Improved coronary artery stent visualization and in-stent stenosis detection using 16-slice computed-tomography and dedicated image reconstruction technique. Invest Radiol 38:790–795

    Google Scholar 

  11. Morin RL, Gerber TC, McCollough CH (2003) Radiation dose in computed tomography of the heart. Circulation 107:917–922

    Google Scholar 

  12. Rajagopal V, Rockson SG (2003) Coronary restenosis: a review of mechanisms and management. Am J Med 115:547–553

    Google Scholar 

  13. Maintz D, Botnar RM, Fischbach R, Heindel W, Manning WJ, Stuber M (2002) Coronary magnetic resonance angiography for assessment of the stent lumen: a phantom study. J Cardiovasc Magn Reson 4:359–367

    Google Scholar 

  14. Maintz D, Fischbach R, Juergens K, Allkemper T, Wessling J, Heindel W (2001) Multislice CT-angiography of the iliac arteries in the presence of various stents: in vitro evaluation of artifacts and lumen visibility. Invest Radiol 36:699–704

    Google Scholar 

  15. Cademartiri F, Mollet N, Nieman K, Krestin GP, de Feyter PJ (2003) Images in cardiovascular medicine. Neointimal hyperplasia in carotid stent detected with multislice computed tomography. Circulation 108:e147

    Google Scholar 

  16. Hahnel S, Trossbach M, Braun C, Heiland S, Knauth M, Sartor K, Hartmann M (2003) Small-vessel stents for intracranial angioplasty: in vitro comparison of different stent designs and sizes by using CT angiography. Am J Neuroradiol 24:1512–1516

    Google Scholar 

  17. Storto ML, Marano R, Maddestra N, Caputo M, Zimarino M, Bonomo L (2002) Images in cardiovascular medicine. Multislice spiral computed tomography for in-stent restenosis. Circulation 105:2005

    Google Scholar 

  18. Kalra MK, Maher MM, Sahani DV, Blake MA, Hahn PF, Avinash GB, Toth TL, Halpern E, Saini S (2003) Low-dose CT of the abdomen: evaluation of image improvement with use of noise reduction filters pilot study. Radiology 228:251–256

    Google Scholar 

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Authors and Affiliations

  1. Department of Clinical Radiology, University of Muenster, Albert-Schweitzer-Strasse 33, 48149, Muenster, Germany

    Harald Seifarth, Eva Maria Fallenberg, Walter Heindel, Roman Fischbach & David Maintz

  2. Siemens Medical Solutions, Forchheim, Germany

    Rainer Raupach, Stefan Schaller & Thomas Flohr

Authors
  1. Harald Seifarth
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  2. Rainer Raupach
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  3. Stefan Schaller
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  4. Eva Maria Fallenberg
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  5. Thomas Flohr
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  6. Walter Heindel
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  7. Roman Fischbach
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  8. David Maintz
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Correspondence to Harald Seifarth.

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Seifarth, H., Raupach, R., Schaller, S. et al. Assessment of coronary artery stents using 16-slice MDCT angiography: evaluation of a dedicated reconstruction kernel and a noise reduction filter. Eur Radiol 15, 721–726 (2005). https://doi.org/10.1007/s00330-004-2594-8

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  • DOI: https://doi.org/10.1007/s00330-004-2594-8

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