Korean J Radiol.  2019 Feb;20(2):283-294. 10.3348/kjr.2017.0507.

Optimal Kiloelectron Volt for Noise-Optimized Virtual Monoenergetic Images of Dual-Energy Pediatric Abdominopelvic Computed Tomography: Preliminary Results

Affiliations
  • 1Department of Radiology, Seoul National University Hospital, Seoul, Korea. iater@snu.ac.kr
  • 2Department of Radiology, Seoul National University College of Medicine, Seoul, Korea.
  • 3Institute of Radiation Medicine, Seoul National University Medical Research Center, Seoul, Korea.
  • 4Department of Radiology, Kyung Hee University Hospital, Seoul, Korea.
  • 5Department of Radiology, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, Korea.
  • 6Siemens Healthineers, Seoul, Korea.
  • 7Siemens Healthineers, Forchheim, Germany.

Abstract


OBJECTIVE
To compare quantitative and qualitative image quality parameters in pediatric abdominopelvic dual-energy CT (DECT) using noise-optimized virtual monoenergetic image (VMI) and conventional VMI at different kiloelectron volt (keV) levels.
MATERIALS AND METHODS
Thirty-six consecutive abdominopelvic DECT scans were retrospectively included. Noise-optimized VMI and conventional VMI were reconstructed at seven energy levels, from 40 keV to 100 keV at 10 keV intervals. The contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR) of the liver, pancreas, and aorta were objectively measured and compared. Image quality was evaluated subjectively regarding image noise, image blurring of solid organ, bowel image quality and severity of beam-hardening artifacts. Optimal monoenergetic levels in keV for both algorithms were determined based on overall image quality score.
RESULTS
The maximal CNR and SNR values for all investigated organs were observed at 40 keV in noise-optimized VMI (CNR and SNR of liver, pancreas, aorta in order [CNR; 20.93, 17.34, 46.75: SNR; 37.39, 33.80, 63.21]), at 60-70 keV and at 70 keV in conventional VMI (CNR; 8.12, 5.67, 15.97: SNR; 19.57, 16.66, 26.65). In qualitative image analysis, noise-optimized VMI and conventional VMI showed the best overall image quality scores at 60 keV and at 70 keV, respectively. Noise-optimized VMI at 60 keV showed superior CNRs, SNRs, and overall image quality scores compared to conventional VMI at 70 keV (p < 0.001).
CONCLUSION
Optimal energy levels for noise-optimized VMI and conventional VMI were 60 keV and at 70 keV, respectively. Noise-optimized VMI shows superior CNRs, SNRs and subjective image quality over conventional VMI, at the optimal energy level.

Keyword

Dual-energy pediatric abdominopelvic CT; Virtual monoenergetic image; Noise-optimized VMI; Conventional VMI; Image quality

MeSH Terms

Aorta
Artifacts
Liver
Noise
Pancreas
Retrospective Studies
Signal-To-Noise Ratio

Figure

  • Fig. 1 Manually drawn regions of interest in liver, pancreas, aorta, paraspinal muscle, subcutaneous fat of anterior abdominal wall, and air column.All measurements were kept constant across VMI levels by using copy-and-paste function at workstation. VMI = virtual monoenergetic image

  • Fig. 2 Graphs of mean attenuation of liver, pancreas, aorta, subcutaneous fat, and air in mean of noise-optimized and conventional algorithms.HU = Hounsfield unit, keV = kiloelectron volt

  • Fig. 3 Graphs of image noise in noise-optimized and conventional algorithms.

  • Fig. 4 Graphs showing SNR values of liver, pancreas, and aorta in noise-optimized and conventional VMIs.SNR was significantly higher in noise-optimized algorithm compared to conventional algorithm at all VMI energy levels. SNR = signal-to-noise ratio

  • Fig. 5 Graphs of CNR values of liver, pancreas, and aorta in noise-optimized and conventional VMIs.CNR was significantly higher in noise-optimized algorithm compared to conventional algorithm in all VMI energy levels, except for 70 keV. CNR = contrast-to-noise ratio

  • Fig. 6 Images obtained by noise-optimized algorithm with 40–100 keV energy levels.Best CNR and SNR were obtained at 40 keV. In subjective analysis, 60 keV scored best in terms of overall image quality. Taken together, 60 keV was considered to be optimal VMI energy level for noise-optimized algorithm.

  • Fig. 7 Images obtained by conventional algorithm with 40–100 keV energy levels.Best CNR was obtained at 60–70 keV, and best SNR was obtained at 70 keV. Further, 70 keV achieved best overall image quality score in subjective image analysis. Therefore, 70 keV was considered to be optimal VMI energy level for conventional algorithm.


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