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Analysis of brain activation patterns using a 3-D scale-space primal sketch
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-9081-2170
1999 (English)In: Human Brain Mapping, ISSN 1065-9471, E-ISSN 1097-0193, Vol. 7, no 3, 166-94 p.Article in journal (Refereed) Published
Abstract [en]

A fundamental problem in brain imaging concerns how to define functional areas consisting of neurons that are activated together as populations. We propose that this issue can be ideally addressed by a computer vision tool referred to as the scale-space primal sketch. This concept has the attractive properties that it allows for automatic and simultaneous extraction of the spatial extent and the significance of regions with locally high activity. In addition, a hierarchical nested tree structure of activated regions and subregions is obtained. The subject in this article is to show how the scale-space primal sketch can be used for automatic determination of the spatial extent and the significance of rCBF changes. Experiments show the result of applying this approach to functional PET data, including a preliminary comparison with two more traditional clustering techniques. Compared to previous approaches, the method overcomes the limitations of performing the analysis at a single scale or assuming specific models of the data.

Place, publisher, year, edition, pages
1999. Vol. 7, no 3, 166-94 p.
Keyword [en]
brain activation, human brain mapping, functional region, scale-space, primal sketch, scale selection, blob detection, multi-scale representation, computer vision
National Category
Computer Science Computer Vision and Robotics (Autonomous Systems) Neurosciences Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-40413DOI: 10.1002/(SICI)1097-0193(1999)7:3<166::AID-HBM3>3.0.CO;2-IPubMedID: 10194618OAI: oai:DiVA.org:kth-40413DiVA: diva2:441151
Note

QC20111028

Available from: 2013-04-16 Created: 2011-09-14 Last updated: 2017-12-08Bibliographically approved

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