Accurate localization of brain activity in presurgical FMRI by structure adaptive smoothing.

Publication Type	Academic Article
Authors	Tabelow K, Polzehl J, Ulug A, Dyke J, Watts R, Heier L, Voss H
Journal	IEEE Trans Med Imaging
Volume	27
Issue	4
Pagination	531-7
Date Published	04/01/2008
ISSN	1558-254X
Keywords	Algorithms, Brain Mapping, Brain Neoplasms, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Pattern Recognition, Automated
Abstract	An important problem of the analysis of functional magnetic resonance imaging (fMRI) experiments is to achieve some noise reduction of the data without blurring the shape of the activation areas. As a novel solution to this problem, recently the propagation-separation (PS) approach has been proposed. PS is a structure adaptive smoothing method that adapts to different shapes of activation areas. In this paper, we demonstrate how this method results in a more accurate localization of brain activity. First, it is shown in numerical simulations that PS is superior over Gaussian smoothing with respect to the accurate description of the shape of activation clusters and results in less false detections. Second, in a study of 37 presurgical planning cases we found that PS and Gaussian smoothing often yield different results, and we present examples showing aspects of the superiority of PS as applied to presurgical planning.
DOI	10.1109/TMI.2007.908684
PubMed ID	18390349