PublicationDetail

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

T. Klein, M. Hansson, A. Karamalis, N. Navab
Registration of RF Ultrasound Data using Hybrid Local Binary Patterns
IEEE International Symposium on Biomedical Imaging, Barcelona, Spain (bib)

Registration of ultrasound images is often complicated due to the inherent noise. Robust similarity metrics and optimiza- tion procedures are required to facilitate medical applicability. In this paper a novel hybrid procedure, incorporating global statistics and local textural features, is proposed for the registration of envelope detected Radio Frequency (RF) ultrasound data. On the global scale this achieved by Hellinger distance between distribution in images, and on the local scale by a statistics-based extension of Fuzzy Local Binary Patterns (FLBP). The proposed procedure is shown to outperform standard measures such as SSD and NCC, as well as Hellinger similarity and histogram matching of, standard and probabilistic versions of FLBP, in rigid registration experiments of enveloped detected RF data samples of the human neck.
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each authors copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.



Edit | Attach | Refresh | Diffs | More | Revision r1.11 - 19 Jul 2016 - 16:26 - NassirNavab

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif