Signal and Anatomical Constraints in Adaptive Filtering of fMRI Data
2007 (English)In: Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007: From Nano to Macro, IEEE , 2007, 432-435 p.Conference paper (Refereed)
An adaptive filtering method for fMRI data is presented. The method is related to bilateral filtering, but with a range filter that takes into account local similarities in signal as well as in anatomy. Performance is demonstrated on simulated and real data. It is shown that using both these similarity constraints give better performance than if only one of them is used, and clearly better than standard low-pass filtering.
Place, publisher, year, edition, pages
IEEE , 2007. 432-435 p.
, International Symposium on Biomedical Imaging. Proceedings, ISSN 1945-7928
adaptive filters, biomedical MRI, brain, medical signal detection, bilateral filtering, fMRI, low-pass filtering
Computer Vision and Robotics (Autonomous Systems) Medical Laboratory and Measurements Technologies
IdentifiersURN: urn:nbn:se:liu:diva-12659DOI: 10.1109/ISBI.2007.356881ISI: 000252957300109ISBN: 1-4244-0672-2ISBN: e-1-4244-0672-2OAI: oai:DiVA.org:liu-12659DiVA: diva2:16789
4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, (ISBI 2007), 12-15 April 2007, Arlington, VA, USA