Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Evaluation of design options for the scale-space primal sketch analysis of brain activation images
KTH, Superseded Departments, Numerical Analysis and Computer Science, NADA.ORCID iD: 0000-0002-9081-2170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, 656-656 p.Conference paper, Published paper (Refereed)
Abstract [en]

A key issue in brain imaging concerns how to detect the functionally activated regions from PET and fMRI images. In earlier work, it has been shown that the scale-space primal sketch provides a useful tool for such analysis [1]. The method includes presmoothing with different filter widths and automatic estimation of the spatial extent of the activated regions (blobs).

The purpose is to present two modifications of the scale-space primal sketch, as well as a quantitative evaluation which shows that these modifications improve the performance, measured as the separation between blob descriptors extracted from PET images and from noise images. This separation is essential for future work of associating a statistical p-value with the scale-space blob descriptors.

Place, publisher, year, edition, pages
2000. Vol. 11, 656-656 p.
National Category
Computer Vision and Robotics (Autonomous Systems) Bioinformatics (Computational Biology) Neurosciences
Identifiers
URN: urn:nbn:se:kth:diva-40152DOI: 10.1016/S1053-8119(00)91586-6OAI: oai:DiVA.org:kth-40152DiVA: diva2:463488
Conference
Sixth Annual Meeting of the Organization For Human Brain Mapping
Note

QC 20111209

Available from: 2011-12-09 Created: 2011-09-13 Last updated: 2013-04-24Bibliographically approved

Open Access in DiVA

fulltext(57 kB)136 downloads
File information
File name FULLTEXT01.pdfFile size 57 kBChecksum SHA-512
4f9a5f1387caae64ba7bdca8022f2d981d34c83bad9a99487e90da0dec0b5b4cfe590531ca2a9cd7cddf5e485147cfb8bf47458b28fae3c448a05d290c6776f1
Type fulltextMimetype application/pdf

Other links

Publisher's full textAt authors' home page

Search in DiVA

By author/editor
Lindeberg, Tony
By organisation
Numerical Analysis and Computer Science, NADA
Computer Vision and Robotics (Autonomous Systems)Bioinformatics (Computational Biology)Neurosciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 136 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 125 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf