Literature DB >> 16942890

Bilateral spatial filtering: refining methods for localizing brain activation in the presence of parenchymal abnormalities.

Scott A Walker1, David Miller, Jody Tanabe.   

Abstract

Functional MRI (fMRI) is an important tool for pre-surgical localization of eloquent cortex prior to resection of brain lesions. To increase the inherently low activation signal to noise ratio, fMRI pre-processing steps often include spatial smoothing. However, the effects of smoothing in the presence of brain lesions have not been studied. We have adapted the widely used method of Gaussian spatial filtering to include an "edge stopping" function. This method, termed bilateral filtering, minimizes blurring of apparent brain activity across anatomic boundaries and into regions of non-activation. fMRI data were acquired in a patient with a known low grade glioma during a blocked finger-tapping paradigm. Simulated activity was superimposed on baseline images of non-activated brain using the same paradigm, with additive signal equal to 1, 3, and 5% of the mean physiologic background. Comparison of Gaussian and bilateral filtering suggests that the modified technique more accurately locates brain activation and increases the significance of activation bordering sharp transitions. Thus, spatial pre-processing with a bilateral filter may be particularly useful in the pre-operative assessment of brain lesions.

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Year:  2006        PMID: 16942890     DOI: 10.1016/j.neuroimage.2006.06.051

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  6 in total

1.  An evaluation of spatial thresholding techniques in fMRI analysis.

Authors:  Brent R Logan; Maya P Geliazkova; Daniel B Rowe
Journal:  Hum Brain Mapp       Date:  2008-12       Impact factor: 5.038

2.  An Automatic Parameter Decision System of Bilateral Filtering with GPU-Based Acceleration for Brain MR Images.

Authors:  Herng-Hua Chang; Yu-Ju Lin; Audrey Haihong Zhuang
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

3.  Optimizing the performance of local canonical correlation analysis in fMRI using spatial constraints.

Authors:  Dietmar Cordes; Mingwu Jin; Tim Curran; Rajesh Nandy
Journal:  Hum Brain Mapp       Date:  2011-08-30       Impact factor: 5.038

4.  Spatial smoothing systematically biases the localization of reward-related brain activity.

Authors:  Matthew D Sacchet; Brian Knutson
Journal:  Neuroimage       Date:  2012-10-27       Impact factor: 6.556

5.  Suitability of bilateral filtering for edge-preserving noise reduction in PET.

Authors:  Frank Hofheinz; Jens Langner; Bettina Beuthien-Baumann; Liane Oehme; Jörg Steinbach; Jörg Kotzerke; Jörg van den Hoff
Journal:  EJNMMI Res       Date:  2011-10-05       Impact factor: 3.138

6.  Diffusion-based spatial priors for functional magnetic resonance images.

Authors:  L M Harrison; W Penny; J Daunizeau; K J Friston
Journal:  Neuroimage       Date:  2008-02-20       Impact factor: 6.556

  6 in total

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