Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten.

A software tool for the computation of arterial pulse wave velocity from flow-sensitive 4D MRI data

: Drexl, J.; Mirzaee, H.; Harloff, A.; Hüllebrand, M.; Hennemuth, A.; Hahn, H.

Murray, A. ; Universidad de Zaragoza; European Society of Cardiology; IEEE Engineering in Medicine and Biology Society -EMBS-; Institute of Electrical and Electronics Engineers -IEEE-:
Computing in Cardiology Conference, CinC 2013 : September 22-25, 2013, Zaragoza, Spain; Proceedings
Piscataway, NJ: IEEE, 2013
ISBN: 978-1-4799-0884-4 (Print)
ISBN: 978-1-4799-0886-8 (Online)
ISBN: 978-1-4799-0885-1
Computing in Cardiology Conference (CINC) <40, 2013, Zaragoza>
Conference Paper
Fraunhofer MEVIS ()

Recently, Markl at al. [1] demonstrated that the aortic pulse wave velocity (PWV) can be measured noninvasively based on flow-sensitive 4D MRI. However, the suggested post-processing workflow is very time consuming. In this paper, we present a more efficient PWV computation integrated into a dedicated software assistant, supporting all major steps for PWV computation. The implementation was validated on a digital phantom. Furthermore, two independent observers re-processed the volunteer data from the Markl et al. study with our software, so that outcomes as well as processing times could be compared. The implementation of our method gives similar accuracy and reproducibility to the method of Markl at al, but at a significantly reduced processing time.