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

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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.

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Nitsch, J., Klein, J., Miller, D., Sure, U., & Hahn, H. K. (2015). Automatic segmentation of the cerebral falx and adjacent gyri in 2D ultrasound images. In Informatik aktuell (pp. 287–292). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-662-46224-9_50

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