PublicationDetail

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

R. Brosig, M. Kowarschik, N. Navab, M. Baust
Volume Constraint Denoising of Digital Subtraction Angiography Sequences
MICCAI-workshop von Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT), Boston, USA, September 2014. (bib)

Digital Subtraction Angiography (DSA) using C-arm systems is a widely used imaging modality for the morphological and functional assessment of human vasculature. As 2D+t DSA sequences typically suffer from noise, the application of denoising algorithms is necessary for subsequent processing, e.g., in order to compute quantitative measures such as the Bolus Arrival Time (BAT). We propose a variational denoising method that accounts for the physics of the image formation process and preserves the injected amount of contrast agent (CA). We also explain how the injected amount of CA can be estimated from the DSA sequence itself and demonstrate the potential of our approach as well as its benefits for the computation of the BAT using synthetic data and phantom experiments with various geometries.
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