𝔖 Bobbio Scriptorium
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Spatially filtering functional magnetic resonance imaging data

✍ Scribed by Mark J. Lowe; James A. Sorenson

Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
749 KB
Volume
37
Category
Article
ISSN
0740-3194

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✦ Synopsis

Abstract

When constructing MR images from acquired spatial frequency data, it can be beneficial to apply a low‐pass filter to remove high frequency noise from the resulting images. This amounts to attenuating high spatial frequency fluctuations that can affect detected MR signal. A study is presented of spatially filtering MR data and possible ramifications on detecting regionally specific activation signal. It is shown that absolute activation levels are strongly dependent on the parameters of the filter used in image construction and that significance of an activation signal can be enhanced through appropriate filter selection. A comparison is made between spatially filtering MR image data and applying a Gaussian convolution kernel to statistical parametric maps.

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