Introduction to Neuroimaging Analysis (Oxford Neuroimaging Primers) by Mark Jenkinson & Michael Chappell

Author:Mark Jenkinson & Michael Chappell
Language: eng
Format: azw3
ISBN: 9780198816300
Publisher: Oxford University Press
Published: 2018-03-15T06:00:00+00:00

Figure 3.19: Illustration of spatial smoothing and weights. Top row: original image (left); smoothed image with FWHM = 5 mm (middle); smoothed image with FWHM = 10 mm (right). Bottom row: illustration of the FWHM for a Gaussian (i.e., the width at half the maximum height): 1D cross-section of a Gaussian (left); 2D Gaussian (middle); 2D cross-section of the weights associated with a discrete 3D Gaussian (right). In the discrete case the FWHM can be seen as the distance between where the weights would equal 0.5, if interpolated. In practice the smoothing is implemented discretely, by using these discrete weights to calculate a weighted average of the intensities of neighboring voxels.

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