Skip to main navigation Skip to search Skip to main content

Automatic adjustment of contrast and brightness of magnetic resonance images

  • Richard E. Wendt

Research output: Contribution to journalArticlepeer-review

Abstract

Two statistics of the magnetic resonance (MR) image, the median and the standard deviation of the values of the significant pixels, can be used along with the type of image to adjust the contrast and brightness of the image (ie, to "window" it) automatically and robustly. The essential parts of this approach to automatic windowing are (1) avoidance of irrelevant pixels, (2) identification of the type of MR image from information stored in the image header, and (3) use of algorithms for the maximum and minimum values that reflect the preference of the intended viewer using a specific monitor and ambient lighting conditions for the different types of images. An evaluation in thirteen clinical studies yielded 91.5% (2312/2526) images requiring no further adjustment and the remaining 8.5% (214/2526) being improved by further adjustment.

Original languageEnglish (US)
Pages (from-to)95-97
Number of pages3
JournalJournal of Digital Imaging
Volume7
Issue number2
DOIs
StatePublished - May 1994
Externally publishedYes

Keywords

  • Brightness adjustment
  • automatic windowing
  • contrast adjustment
  • windowing

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Automatic adjustment of contrast and brightness of magnetic resonance images'. Together they form a unique fingerprint.

Cite this