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Author Capozza, M. ♦ Iannetti, G. D. ♦ Mostarda, M. ♦ Cruccu, G.
Source SpringerLink
Content type Text
Publisher Springer-Verlag
File Format PDF
Copyright Year ©2000
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations
Subject Keyword Brainstem ♦ Neural network ♦ 3D mapping ♦ Neuroimaging ♦ Neurophysiological tests ♦ Human Physiology ♦ Computer Applications ♦ Neurosciences ♦ Imaging ♦ Radiology ♦ Biomedical Engineering
Abstract The human brainstem is a highly complex structure where even small lesions can give rise to a variety of symptoms and outward sings. Localising the area of dysfunction within the brainstem is often a difficult task. To make localisation easier, a neural net system has been developed which uses 72 clinical and neurophysiological data inputs to provide a display (using 5268 voxels) on a three-dimensional model of the human brainstem. The net was trained by means of a back-propagation algorithm, over a pool of 580 example cases. Assessed on 200 test cases, the net correctly localised 83.6% of the target voxels; furthermore the net correctly localised the lesions in 31 out of 37 patients. Because this computer-assisted method provides reliable and quantitative localisation of brainstem areas of dysfunction and can be used as a 3D interactive functional atlas, it is expected to prove useful as a diagnostic tool for assessing focal brainstem lesions.
ISSN 01400118
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2000-01-01
Publisher Place Berlin, Heidelberg
e-ISSN 17410444
Journal Medical and Biological Engineering and Computing
Volume Number 38
Issue Number 6
Page Count 6
Starting Page 639
Ending Page 644

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Source: SpringerLink