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Influence of CT Image Matrix Size and Kernel Type on the Assessment of HRCT in Patients with SSC-ILD.

Bettina D BalmerChristian BluethgenBettina BaeßlerKatharina MartiniFlorian A HuberLisa RubyAmadéa SchönenbergerThomas Frauenfelder
Published in: Diagnostics (Basel, Switzerland) (2022)
Our results show that with the use of a sharp kernel, the 1024-pixel matrix HRCT, provides a slightly better subjective image quality in terms of assessing interstitial lung changes, whereby GGO are more visible on the 512-pixel matrix. However, it remains to be answered to what extent this is related to the improved representation of the smallest structures.
Keyphrases
  • image quality
  • computed tomography
  • dual energy
  • deep learning
  • magnetic resonance imaging
  • rheumatoid arthritis
  • magnetic resonance
  • mass spectrometry
  • machine learning