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

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 impr...

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Bibliographic Details
Published in:Computerized medical imaging and graphics 2007-01, Vol.31 (1), p.17-27
Main Authors: Rojas, G.M, Raff, U, Quintana, J.C, Huete, I, Hutchinson, M
Format: Article
Language:English
Subjects:
Adolescent
Color data fusion
Data consolidation
Humans
Image data fusion
Image Processing, Computer-Assisted - methods
Internal Medicine
Magnetic Resonance Imaging
Male
Mesencephalon - diagnostic imaging
Mesencephalon - physiopathology
MRI
Neuroradiography
Other
Parkinson disease
Parkinson Disease - diagnosis
Parkinson Disease - physiopathology
SIRRIM
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Summary: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.
ISSN:0895-6111
1879-0771
DOI:10.1016/j.compmedimag.2006.10.002