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Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality

Author

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  • Akio Tamura
  • Manabu Nakayama
  • Yoshitaka Ota
  • Masayoshi Kamata
  • Yasuyuki Hirota
  • Misato Sone
  • Makoto Hamano
  • Ryoichi Tanaka
  • Kunihiro Yoshioka

Abstract

The purpose of this study was to investigate whether the novel image-based noise reduction software (NRS) improves image quality, and to assess the feasibility of using this software in combination with hybrid iterative reconstruction (IR) in image quality on thin-slice abdominal CT. In this retrospective study, 54 patients who underwent dynamic liver CT between April and July 2017 and had a body mass index higher than 25 kg/m2 were included. Three image sets of each patient were reconstructed as follows: hybrid IR images with 1-mm slice thickness (group A), hybrid IR images with 5-mm slice thickness (group B), and hybrid IR images with 1-mm slice thickness denoised using NRS (group C). The mean image noise and contrast-to-noise ratio relative to the muscle of the aorta and liver were assessed. Subjective image quality was evaluated by two radiologists for sharpness, noise, contrast, and overall quality using 5-point scales. The mean image noise was significantly lower in group C than in group A (p

Suggested Citation

  • Akio Tamura & Manabu Nakayama & Yoshitaka Ota & Masayoshi Kamata & Yasuyuki Hirota & Misato Sone & Makoto Hamano & Ryoichi Tanaka & Kunihiro Yoshioka, 2019. "Feasibility of thin-slice abdominal CT in overweight patients using a vendor neutral image-based denoising algorithm: Assessment of image noise, contrast, and quality," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-12, December.
    • Handle: RePEc:plo:pone00:0226521
    DOI: 10.1371/journal.pone.0226521
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