Title
Automatic Segmentation of the Cerebral Falx and Adjacent Gyri in 2D Ultrasound Images
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 patient's 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.
Year
DOI
Venue
2015
10.1007/978-3-662-46224-9_50
BILDVERARBEITUNG FUR DIE MEDIZIN 2015: ALGORITHMEN - SYSTEME - ANWENDUNGEN
Field
DocType
Citations 
Computer vision,Sørensen–Dice coefficient,Segmentation,Navigation system,Artificial intelligence,Hausdorff distance,Jaccard index,Geography,Edge enhancement,Ultrasound,Brain tissue
Conference
1
PageRank 
References 
Authors
0.37
6
5
Name
Order
Citations
PageRank
Jennifer Nitsch110.37
Jan Klein29510.94
Dorothea Miller310.37
Ulrich Sure411.72
Horst K. Hahn545072.61