Neuroradiologic MR applications with multiparametric color composite display

W. Eugene Phillips, H. Keith Brown, José Bouza, Ramon E. Figueroa

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The purpose of this article is to demonstrate the application of a PC- based multiparameter full color composite display technique of MR images of 14 selected patients with neuropathology while assessing the ability of this technique to display clinically important neuroanatomic and neuropathologic tissues. Using a PC with a 386 microprocessor and full color 24-bit graphics display capabilities, custom and commercially available image-processing softwares were applied to spatially aligned multiparameter proton density, T1-weighted (with and/or without gadolinium-DTPA) and T2-weighted MR image sets obtained from 14 patients with known neuropathology to generate intensity-based color composites. Quantitative color channel applications were used to assess the ability of this technique to differentiate anatomically and pathologically confirmed tissue types into unique color regions within the full color spectrum display in each patient case. Based on the results of pathologic correlation and quantitative color imaging analysis, the application of full color composite generation techniques to multiple MR images of selected neuropathology cases represents a viable technique for displaying diagnostically relevant tissue contrast information in one color image. With this technique, it is possible to generate composites that simultaneously display uniquely color-coded neuroanatomic and neuropathologic tissue information within the context of partially natural- appearing images.

Original languageEnglish (US)
Pages (from-to)59-72
Number of pages14
JournalMagnetic Resonance Imaging
Issue number1
StatePublished - 1996


  • Computer image display
  • Magnetic resonance imaging
  • Neuroradiology
  • Personal computer

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging


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