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Signficance determination for the scale-space primal sketch by comparison of statistics of scale-space blob volumes computed from PET signals vs. residual noise
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170
2000 (English)In: : HBM'00 published in Neuroimage, volume 11, number 5, 2000, 2000, Vol. 11, 493-493 p.Conference paper (Refereed)
Abstract [en]

A dominant approach to brain mapping is to define functional regions in the brain by analyzing brain activation images obtained by PET or fMRI. In [1], it has been shown that the scale-space primal sketch provides a useful tool for such analysis. Some attractive properties of this method are that it only makes few assumptions about the data and the process for extracting activations is fully automatic.

In the present version of the scale-space primal sketch, however, there is no method for determining p-values. The purpose here is to present a new methodology for addressing this question, by introducing a descriptor referred to as the -curve, which serves as a first step towards determining the probability of false positives, i.e. alpha.

Place, publisher, year, edition, pages
2000. Vol. 11, 493-493 p.
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems) Bioinformatics (Computational Biology) Neurosciences
URN: urn:nbn:se:kth:diva-40239DOI: 10.1016/S1053-8119(00)91424-1OAI: diva2:440719
Sixth Annual Meeting of the Organization For Human Brain Mapping

QC 20110913

Available from: 2011-09-13 Created: 2011-09-13 Last updated: 2013-04-23Bibliographically approved

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