Image fusion in neuroradiology: Three clinical examples including MRI of Parkinson disease

G. M. Rojas, U. Raff, J. C. Quintana, I. Huete, M. Hutchinson

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Image data fusion has been developed over the last decade as an important additional visual diagnostic tool to integrate the growing amount of imaging data obtained from different medical imaging modalities. The overwhelming amount of digital information calls for data consolidation to improve clinical treatment strategies based upon anatomical and physiological imaging. Three different low level image data fusion techniques are described and their characteristics are illustrated with some rare yet key examples. We used MR images to show neurodegeneration in the cerebral peduncle of the midbrain and found that image data fusion using colors can be a valuable tool to visually assess and quantify the loss of neural cells in the Substantia Nigra pars compacta in Parkinson's disease.

Original languageEnglish
Pages (from-to)17-27
Number of pages11
JournalComputerized Medical Imaging and Graphics
Volume31
Issue number1
DOIs
StatePublished - Jan 2007
Externally publishedYes

Keywords

  • Color data fusion
  • Data consolidation
  • Image data fusion
  • MRI
  • Parkinson disease
  • SIRRIM

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