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Spatio-temporal data analysis with non-linear filters : brain mapping with fMRI dataRodenacker, Karsten ...Spatio-temporal digital data from fMRI (functional Magnetic Resonance Imaging)are used to analyse and to model brain activation. To map brain functions, a well-defined sensory activation is offered ... to a test person and the hemodynamic response to neuronal activity is studied. This so-called BOLD effect in fMRI is typically small and characterised by a very low signal to noise ratio. Hence the activation is repeated and the three dimensional signal(multi-slice 2D) is gathered during relatively long time ranges (3-5 min). From the noisy and distorted spatio-temporal signal the expected response has to be filtered out. Presented methods of spatio-temporal signal processing base on non-linear concepts of data reconstruction and filters of mathematical morphology (e.g. alternating sequential morphological filters). Filters applied are compared by classifications of activations.Source: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 19, no. 3, nov. 2000, str. 189-194)Type of material - article, component partPublish date - 2000Language - englishCOBISS.SI-ID - 12683225
Author
Rodenacker, Karsten |
Hahn, Klaus |
Winkler, Gerhard, matematik |
Auer, Dorothea P.
Topics
Image processing, computer-assisted |
Magnetic resonance imaging |
Brain mapping |
Mathematical computing |
možgani |
jedrska magnetna resonanca |
matematična morfologija |
slikovna diagnostika |
obdelava slik
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source: Image analysis & stereology : official journal of the International Society for Stereology. - ISSN 1580-3139 (Vol. 19, no. 3, nov. 2000, str. 189-194)
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Rodenacker, Karsten | ![]() |
Hahn, Klaus | ![]() |
Winkler, Gerhard, matematik | ![]() |
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