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Automatic segmentation of the cerebral falx and adjacent gyri in 2D ultrasound images

 
: Nitsch, J.; Klein, J.; Miller, D.; Sure, U.; Hahn, H.K.

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Handels, H. ; Univ. Lübeck, Institut für Medizinische Informatik:
Bildverarbeitung für die Medizin 2015 : Algorithmen - Systeme - Anwendungen; Proceedings des Workshops vom 15. bis 17. März 2015 in Lübeck; BVM 2015
Berlin: Springer, 2015 (Informatik aktuell)
ISBN: 978-3-662-46223-2 (Print)
ISBN: 978-3-662-46224-9 (Online)
ISBN: 3-662-46223-0
pp.287-292
Workshop Bildverarbeitung für die Medizin (BVM) <2015, Lübeck>
English
Conference Paper
Fraunhofer MEVIS ()

Abstract
We present an automatic segmentation of the cerebral falx and adjacent gyri (perifalcine region) for B-mode 2D ultrasound (US) images. The movement of brain tissue during neurosurgery reduces the accuracy of navigation systems which provide image guidance based on preoperative MRI (preMRI). Thus, the segmentation of the falx and its adjoining gyri in navigated, intraoperative US (iUS) may be used to improve navigation within preMRI scans by providing additional, spatially updated image information of the patientâs brain. The segmentation was tested on 50 2D US images and achieved on average a Dice coefficient of 0.79, a Hausdorff distance of 1.56 mm, and a Jaccard index of 0.64.

: http://publica.fraunhofer.de/documents/N-442192.html