Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.3233/978-1-60750-044-5-816 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
MRA,Time of Flight,cerebral vascular system,segmentation,fuzzy inference | Computer vision,Fuzzy inference,Fuzzy logic,Skull stripping,Preprocessor,Artificial intelligence,Time of flight,Medicine | Conference |
Volume | ISSN | Citations |
150 | 0926-9630 | 5 |
PageRank | References | Authors |
0.64 | 9 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nils Daniel Forkert | 1 | 26 | 15.30 |
| Dennis Säring | 2 | 23 | 9.74 |
| Karolin Wenzel | 3 | 6 | 1.03 |
| Till Illies | 4 | 17 | 4.24 |
| Jens Fiehler | 5 | 39 | 20.12 |
| Heinz Handels | 6 | 1527 | 239.84 |