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A Stereotactic Prob...
A Stereotactic Probabilistic Atlas for the Major Cerebral Arteries
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- Dunås, Tora (författare)
- Umeå universitet,Institutionen för strålningsvetenskaper
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- Wåhlin, Anders (författare)
- Umeå universitet,Institutionen för strålningsvetenskaper,Umeå centrum för funktionell hjärnavbildning (UFBI)
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- Ambarki, Khalid (författare)
- Umeå universitet,Institutionen för strålningsvetenskaper,Centrum för medicinsk teknik och fysik (CMTF)
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- Zarrinkoob, Laleh (författare)
- Umeå universitet,Klinisk neurovetenskap
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- Malm, Jan (författare)
- Umeå universitet,Klinisk neurovetenskap
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- Eklund, Anders (författare)
- Umeå universitet,Institutionen för strålningsvetenskaper,Umeå centrum för funktionell hjärnavbildning (UFBI),Centrum för medicinsk teknik och fysik (CMTF)
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(creator_code:org_t)
- 2016-11-21
- 2017
- Engelska.
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Ingår i: Neuroinformatics. - : Springer Science and Business Media LLC. - 1539-2791 .- 1559-0089. ; 15:1, s. 101-110
- Relaterad länk:
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https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
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https://link.springe...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Improved whole brain angiographic and velocity-sensitive MRI is pushing the boundaries of noninvasively obtained cerebral vascular flow information. The complexity of the information contained in such datasets calls for automated algorithms and pipelines, thus reducing the need of manual analyses by trained radiologists. The objective of this work was to lay the foundation for such automated pipelining by constructing and evaluating a probabilistic atlas describing the shape and location of the major cerebral arteries. Specifically, we investigated how the implementation of a non-linear normalization into Montreal Neurological Institute (MNI) space improved the alignment of individual arterial branches. In a population-based cohort of 167 subjects, age 64-68 years, we performed 4D flow MRI with whole brain volumetric coverage, yielding both angiographic and anatomical data. For each subject, sixteen cerebral arteries were manually labeled to construct the atlas. Angiographic data were normalized to MNI space using both rigid-body and non-linear transformations obtained from anatomical images. The alignment of arterial branches was significantly improved by the non-linear normalization (p < 0.001). Validation of the atlas was based on its applicability in automatic arterial labeling. A leave-one-out validation scheme revealed a labeling accuracy of 96 %. Arterial labeling was also performed in a separate clinical sample (n = 10) with an accuracy of 92.5 %. In conclusion, using non-linear spatial normalization we constructed an artery-specific probabilistic atlas, useful for cerebral arterial labeling.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine (hsv//eng)
Nyckelord
- Cerebral arteries
- Probabilistic atlas
- 4D flow MRI
- Automatic labeling
- Spatial normalization
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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