Chapter title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
|
---|---|
Chapter number | 32 |
Book title |
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008
|
Published in |
Lecture notes in computer science, January 2008
|
DOI | 10.1007/978-3-540-85988-8_32 |
Pubmed ID | |
Book ISBNs |
978-3-54-085987-1, 978-3-54-085988-8
|
Authors |
Gooya, Ali, Dohi, Takeyoshi, Sakuma, Ichiro, Liao, Hongen, Dimitris Metaxas, Leon Axel, Gabor Fichtinger, Gábor Székely, Ali Gooya, Takeyoshi Dohi, Ichiro Sakuma, Hongen Liao |
Abstract |
In this paper, detection of edges in oriented fields is addressed. In some applications such as vessel segmentation because of the intrinsic orientation of the structures, edge detection is only demanded in a particular subspace. This is specially usefull when a curve evolution is chosen for segmentation since gradients in parallel to vessel orientation may stop the contour. An anisotropic edge detection scheme is generalized on a Riemannian manifold using the local structure tensor. The method is the generalization of the PLUS operator proposed for accurate curved edge detection. Examples are given and the comparison is made with the state-of-the-art flux maximizing flow which indicates that significant improvements in terms of leakage minimization and thiner vessel delineation is achievable using our methodology. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 36% |
Student > Master | 3 | 21% |
Student > Ph. D. Student | 2 | 14% |
Professor > Associate Professor | 1 | 7% |
Unknown | 3 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 21% |
Engineering | 2 | 14% |
Agricultural and Biological Sciences | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Other | 1 | 7% |
Unknown | 5 | 36% |