Chest CT window settings with multiscale adaptive histogram equalization: Pilot study

Laura M. Fayad, Yinpeng Jin, Andrew F. Laine, Yahya M. Berkmen, Gregory D. Pearson, Benjamin Freedman, Ronald Van Heertum

Research output: Contribution to journalArticlepeer-review

Abstract

Multiscale adaptive histogram equalization (MAHE), a wavelet-based algorithm, was investigated as a method of automatic simultaneous display of the full dynamic contrast range of a computed tomographic image. Interpretation times were significantly lower for MAHE-enhanced images compared with those for conventionally displayed images. Diagnostic accuracy, however, was insufficient in this pilot study to allow recommendation of MAHE as a replacement for conventional window display.

Original languageEnglish (US)
Pages (from-to)845-852
Number of pages8
JournalRADIOLOGY
Volume223
Issue number3
DOIs
StatePublished - Jan 1 2002
Externally publishedYes

Keywords

  • Computed tomography (CT), image display and recording
  • Computed tomography (CT), image processing
  • Liver, CT
  • Lung, CT

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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