Change search
ReferencesLink to record
Permanent link

Direct link
Vesselness Estimation through Higher-Order Orientation Tensors
KTH, School of Technology and Health (STH).ORCID iD: 0000-0001-5765-2964
KTH, School of Technology and Health (STH), Medical Engineering, Medical Image Processing and Visualization.ORCID iD: 0000-0002-7750-1917
2016 (English)In: International Symposium on Biomedical Imaging (ISBI), IEEE Computer Society, 2016, 1139-1142 p.Conference paper (Refereed)
Abstract [en]

We recently proposed a method for estimating vesselness based on detection of ring patterns in the local distribution ofthe gradient. This method has a better performance than other state-of-the-art algorithms. However, the original implementation of the method makes use of the spherical harmonics transform locally, which is time consuming. In this paper we propose an equivalent formulation of the method based on higher-order tensors. A linear mapping between the spherical harmonics transform and higher-order orientation tensors is used in order to reduce the complexity of the method. With the new implementation, the analysis of computed tomography angiography data can be performed 2.6 times faster compared with the original implementation.

Place, publisher, year, edition, pages
IEEE Computer Society, 2016. 1139-1142 p.
Keyword [en]
Vesselness, Spherical harmonics, Higher- order tensors
National Category
Medical Image Processing
Research subject
Medical Technology
URN: urn:nbn:se:kth:diva-186259DOI: 10.1109/ISBI.2016.7493467ScopusID: 2-s2.0-84978426276ISBN: 978-147992350-2OAI: diva2:951372
International Symposium on Biomedical Imaging (ISBI)
Swedish Heart Lung Foundation, 2011-0376Swedish Research Council, 2012-3512Swedish Research Council, 2014-6153

QC 20160811

Available from: 2016-08-08 Created: 2016-05-09 Last updated: 2016-08-11Bibliographically approved

Open Access in DiVA

fulltext(346 kB)5 downloads
File information
File name FULLTEXT02.pdfFile size 346 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Moreno, RodrigoSmedby, Örjan
By organisation
School of Technology and Health (STH)Medical Image Processing and Visualization
Medical Image Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 5 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 4 hits
ReferencesLink to record
Permanent link

Direct link