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

Nils Große Hokamp, Verena C. Obmann, Rivka Kessner, Robert C. Gilkeson, Amit Gupta, Thorsten Persigehl, Stefan Haneder, Nikhil Ramaiya

Research output: Contribution to journalArticlepeer-review

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 HU liv 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 HU liv using linear models. Reference values for standard display of VMIs of 40 to 120 keV are reported.

Original languageEnglish
Pages (from-to)925-931
Number of pages7
JournalJournal of Computer Assisted Tomography
Volume42
Issue number6
DOIs
StatePublished - 1 Nov 2018
Externally publishedYes

Keywords

  • digital imaging and communication in medicine
  • dual-energy computed tomography
  • liver masses
  • spectral detector computed tomography
  • window setting

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