@article {305,
	title = {Fuzzy-Based Extraction of Vascular Structures from Time-of-Flight MR Images},
	journal = {Studies in health technology and informatics},
	volume = {150},
	year = {2009},
	month = {2009},
	pages = {816-20},
	abstract = {In this paper an automatic fuzzy based method for the extraction of the cerebrovascular system from 3D Time-of-Flight (TOF) MRA image sequences is presented. In order to exclude non-brain tissue an automatic skull stripping method is applied in a preprocessing step. Based on the TOF images vesselness and maximum parameter images are computed first. These parameter images are then combined with the TOF sequence using a fuzzy inference. The resulting fuzzy image offers an improved enhancement of small as well as malformed vessels against the remaining brain. Finally, the fuzzy-connectedness approach is used to extract the vascular system. A first evaluation showed that the fuzzy-based method proposed performs better than a state of the art method and yields results in the range of the inter-observer variation.},
	keywords = {Blood Vessels, Fuzzy Logic, Humans, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Stroke},
	issn = {0926-9630},
	author = {Forkert, Nils Daniel and S{\"a}ring, Dennis and Karolin Wenzel and Illies, Till and Fiehler, Jens and Heinz Handels}
}
