Automatic Selection of Keyframes from Angiogram Videos

Automatic Selection of Keyframes from Angiogram Videos

In this paper we address the problem of automatic selection of important vessel-depicting key frames within 2D angiography videos. Two different methods of frame selection are described, one based on Frangi filter, and the other based on detecting parallel curves formed from edges in angiography ima...

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Bibliographische Detailangaben
Hauptverfasser: Syeda-Mahmood, T, Beymer, D, Wang, F, Mahmood, A, Lundstrom, R J, Shafee, N, Holve, T
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Angiography
Arteries
Image edge detection
Pixel
Shape
Trajectory
Videos
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Beschreibung
Zusammenfassung:In this paper we address the problem of automatic selection of important vessel-depicting key frames within 2D angiography videos. Two different methods of frame selection are described, one based on Frangi filter, and the other based on detecting parallel curves formed from edges in angiography images. Results are shown by comparison to physician annotation of such key frames on 2D coronary angiograms.
ISSN:1051-4651
2831-7475
DOI:10.1109/ICPR.2010.975