Automatic labeling of cerebral arteries in magnetic resonance angiography

Dunås, Tora (author): Umeå universitet,Institutionen för strålningsvetenskaper

Wåhlin, Anders (author): Umeå universitet,Institutionen för strålningsvetenskaper,Umeå centrum för funktionell hjärnavbildning (UFBI)

Ambarki, Khalid (author): Umeå universitet,Institutionen för strålningsvetenskaper

Birgander, Richard (author): Umeå universitet,Institutionen för strålningsvetenskaper

Eklund, Anders (author): Umeå universitet,Institutionen för strålningsvetenskaper,Umeå centrum för funktionell hjärnavbildning (UFBI)

(creator_code:org_t)

2015-12-08
2016
English.
In: Magnetic Resonance Materials in Physics, Biology and Medicine. - : Springer Science and Business Media LLC. - 0968-5243 .- 1352-8661. ; 29:1, s. 39-47

Related links:: https://urn.kb.se/re...; show more...; https://doi.org/10.1...; show less...

Abstract Subject headings

In order to introduce 4D flow magnetic resonance imaging (MRI) as a standard clinical instrument for studying the cerebrovascular system, new and faster postprocessing tools are necessary. The objective of this study was to construct and evaluate a method for automatic identification of individual cerebral arteries in a 4D flow MRI angiogram. Forty-six elderly individuals were investigated with 4D flow MRI. Fourteen main cerebral arteries were manually labeled and used to create a probabilistic atlas. An automatic atlas-based artery identification method (AAIM) was developed based on vascular-branch extraction and the atlas was used for identification. The method was evaluated by comparing automatic with manual identification in 4D flow MRI angiograms from 67 additional elderly individuals. Overall accuracy was 93 %, and internal carotid artery and middle cerebral artery labeling was 100 % accurate. Smaller and more distal arteries had lower accuracy; for posterior communicating arteries and vertebral arteries, accuracy was 70 and 89 %, respectively. The AAIM enabled fast and fully automatic labeling of the main cerebral arteries. AAIM functionality provides the basis for creating an automatic and powerful method to analyze arterial cerebral blood flow in clinical routine.

By the author/editor: Dunås, Tora; Wåhlin, Anders; Ambarki, Khalid; Zarrinkoob, Lale ...; Birgander, Richa ...; Malm, Jan; show more...; Eklund, Anders; show less...

About the subject

MEDICAL AND HEALTH SCIENCES: MEDICAL AND HEAL ...; and Clinical Medicin ...; and Radiology Nuclea ...

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