Estimating Blood Flow Based on 2D Angiographic Image Sequences

Article in Edited Volumes


Publication Details

Author(s): Alassi S, Kowarschik M, Pohl T, Köstler H, Rüde U
Title edited volumes: Bildverarbeitung für die Medizin 2012
Publisher: Springer
Publishing place: Berlin, Heidelberg
Publication year: 2012
Pages range: 380-385
ISBN: 978-3-642-28502-8
ISSN: 1431-472X


Abstract

The assessment of hemodynamics based on medical image data represents an attractive means in order to enhance diagnostic imaging capabilities, to evaluate clinical outcomes of therapies focusing on the patient's vascular system, as well as to guide minimally invasive interventional procedures in the catheter lab. We present a first evaluation along with comparisons of algorithmic approaches towards the quantitative determination of blood flow based on 2D angiography image data. © Springer-Verlag Berlin Heidelberg 2012.


FAU Authors / FAU Editors

Alassi, Sepideh
Lehrstuhl für Angewandte Mathematik (Wissenschaftliches Rechnen)
Köstler, Harald Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)
Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


How to cite

APA:
Alassi, S., Kowarschik, M., Pohl, T., Köstler, H., & Rüde, U. (2012). Estimating Blood Flow Based on 2D Angiographic Image Sequences. In Bildverarbeitung für die Medizin 2012. (pp. 380-385). Berlin, Heidelberg: Springer.

MLA:
Alassi, Sepideh, et al. "Estimating Blood Flow Based on 2D Angiographic Image Sequences." Bildverarbeitung für die Medizin 2012. Berlin, Heidelberg: Springer, 2012. 380-385.

BibTeX: 

Last updated on 2019-22-07 at 07:24