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Signal and Anatomic...
Signal and Anatomical Constraints in Adaptive Filtering of fMRI Data
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- Borga, Magnus (author)
- Linköpings universitet,Medicinsk informatik,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Tekniska högskolan
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- Rydell, Joakim (author)
- Linköpings universitet,Medicinsk informatik,Tekniska högskolan
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(creator_code:org_t)
- IEEE, 2007
- 2007
- English.
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In: Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. - : IEEE. - 1424406722 ; , s. 432-435
- Related links:
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http://urn.kb.se/res...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk laboratorie- och mätteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Laboratory and Measurements Technologies (hsv//eng)
Keyword
- adaptive filters
- biomedical MRI
- brain
- medical signal detection
- bilateral filtering
- fMRI
- low-pass filtering
- Image analysis
- Bildanalys
- Medical engineering
- Medicinsk teknik
Publication and Content Type
- ref (subject category)
- kon (subject category)
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