Virtual Monoenergetic Images for Diagnostic Assessment of Hypodense Lesions Within the Liver: Semiautomatic Estimation of Window Settings Using Linear Models

J Comput Assist Tomogr. 2018 Nov/Dec;42(6):925-931. doi: 10.1097/RCT.0000000000000794.

Abstract

Objective: The aim of the study was to establish the reference window settings for display of virtual monoenergetic images (VMIs) from spectral detector computed tomography when assessing hypodense liver lesions.

Methods: In patients with cysts (n = 24) or metastases (n = 26), objective (HU, signal-to-noise ratio [SNR]) and subjective (overall image quality, lesion conspicuity and noise) were assessed. Furthermore, 2 readers determined optimal window center/width (C/W) for conventional images (CIs) and VMIs of 40 to 120 keV. Center/width were modeled against HUliv with and without respect to the keV level (models A and B).

Results: Attenuation and SNR were significantly higher in low-keV VMIs and improved overall image quality and lesion conspicuity (P ≤ 0.05). Model B provided valid estimations of C/W, whereas model A was slightly less accurate.

Conclusions: The increase in attenuation and SNR on low-keV VMIs requires adjustment of C/W, and they can be estimated in dependency of HUliv using linear models. Reference values for standard display of VMIs of 40 to 120 keV are reported.

MeSH terms

  • Aged
  • Biopsy
  • Contrast Media
  • Female
  • Humans
  • Liver Diseases / diagnostic imaging*
  • Liver Diseases / pathology
  • Male
  • Prospective Studies
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Radiography, Dual-Energy Scanned Projection / methods*
  • Reference Values
  • Signal-To-Noise Ratio
  • Tomography, X-Ray Computed / methods*

Substances

  • Contrast Media