@inproceedings{c1c31ae7ce394a06b3c8c0009410ea69,
title = "Crossing-preserving multi-scale vesselness",
abstract = "The multi–scale Frangi vesselness filter is an established tool in (retinal) vascular imaging. However, it cannot properly cope with crossings or bifurcations since it only looks for elongated structures. Therefore, we disentangle crossings/bifurcations via (multiple scale) invertible orientation scores and apply vesselness filters in this domain. This new method via scale–orientation scores performs considerably better at enhancing vessels throughout crossings and bifurcations than the Frangi version. Both methods are evaluated on a public dataset. Performance is measured by comparing ground truth data to the segmentation results obtained by basic thresholding and morphological component analysis of the filtered images. Keywords: Multi-scale vesselness filters; continuous wavelet transforms; line detection; gauge frames; retinal imaging",
author = "J. Hannink and R. Duits and E.J. Bekkers",
year = "2014",
doi = "10.1007/978-3-319-10470-6_75",
language = "English",
isbn = "978-3-319-10469-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "603--610",
editor = "P. Golland and N. Hata and C. Barillot and J. Hornegger and R. Howe",
booktitle = "Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014 (17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part II)",
address = "Germany",
note = "17th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2014), September 14-18, 2014, Boston, MA, USA, MICCAI 2014 ; Conference date: 14-09-2014 Through 18-09-2014",
}