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Cardiac CT for planning redo cardiac surgery: effect of knowledge-based iterative model reconstruction on image quality

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Abstract

Objectives

The purpose of this study was to investigate the effects of knowledge-based iterative model reconstruction (IMR) on image quality in cardiac CT performed for the planning of redo cardiac surgery by comparing IMR images with images reconstructed with filtered back-projection (FBP) and hybrid iterative reconstruction (HIR).

Methods

We studied 31 patients (23 men, 8 women; mean age 65.1 ± 16.5 years) referred for redo cardiac surgery who underwent cardiac CT. Paired image sets were created using three types of reconstruction: FBP, HIR, and IMR. Quantitative parameters including CT attenuation, image noise, and contrast-to-noise ratio (CNR) of each cardiovascular structure were calculated. The visual image quality – graininess, streak artefact, margin sharpness of each cardiovascular structure, and overall image quality – was scored on a five-point scale.

Results

The mean image noise of FBP, HIR, and IMR images was 58.3 ± 26.7, 36.0 ± 12.5, and 14.2 ± 5.5 HU, respectively; there were significant differences in all comparison combinations among the three methods. The CNR of IMR images was better than that of FBP and HIR images in all evaluated structures. The visual scores were significantly higher for IMR than for the other images in all evaluated parameters.

Conclusions

IMR can provide significantly improved qualitative and quantitative image quality at in cardiac CT for planning of reoperative cardiac surgery.

Key Points

• Cardiac CT before redo surgery may mitigate increased risk

• Iterative model reconstruction is the next generation in iterative reconstruction

• Iterative model reconstruction improves the image quality in cardiac CT

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Acknowledgments

The scientific guarantor of this publication is Wm. Guy Weigold, MedStar Washington Hospital Center. One author of this manuscript (Mani Vembar) is an employee of Philips Healthcare. The remaining authors (Seitaro Oda, Gaby Weissman, Wm. Guy Weigold) declare no relationships with any companies whose products or services may be related to the subject matter of the article.The authors state that this work has not received any funding. No complex statistical methods were necessary for this paper. Institutional Review Board approval was obtained. Written informed consent was waived by the Institutional Review Board. Methodology: retrospective, experimental, performed at one institution.

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Authors and Affiliations

  1. Department of Cardiology, MedStar Washington Hospital Center, 110 Irving Street, NW, Suite 4B-1, Washington, DC, 20010, USA

    Seitaro Oda, Gaby Weissman & Wm. Guy Weigold

  2. Department of Diagnostic Radiology, Faculty of Life Sciences, Kumamoto University, 1-1-1 Honjyo, Chuo-ku, Kumamoto, 860-8556, Japan

    Seitaro Oda

  3. CT Clinical Science, Philips Healthcare, 595 Miner Road, Cleveland, OH, 44143, USA

    Mani Vembar

Authors
  1. Seitaro Oda
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  2. Gaby Weissman
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  3. Mani Vembar
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  4. Wm. Guy Weigold
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Correspondence to Seitaro Oda.

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Oda, S., Weissman, G., Vembar, M. et al. Cardiac CT for planning redo cardiac surgery: effect of knowledge-based iterative model reconstruction on image quality. Eur Radiol 25, 58–64 (2015). https://doi.org/10.1007/s00330-014-3401-9

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  • DOI: https://doi.org/10.1007/s00330-014-3401-9

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