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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Delles, M. Rengier, F. Yoo-Jin Jeong von Tengg-Kobligk, H. Ley, S. Kauczor, H.-U. Dillmann, R. Unterhinninghofen, R. |
| Copyright Year | 2013 |
| Description | Author affiliation: Dept. of Diagnostic & Interventional Radiol., Univ. Hosp. Heidelberg, Heidelberg, Germany (Rengier, F.; von Tengg-Kobligk, H.; Ley, S.; Kauczor, H.-U.) || Inst. for Anthropomatics, Karlsruhe Inst. of Technol. (KIT), Karlsruhe, Germany (Delles, M.; Yoo-Jin Jeong; Dillmann, R.; Unterhinninghofen, R.) |
| Abstract | Several approaches for the non-invasive MRI-based measurement of the aortic pressure waveform over the heart cycle have been proposed in the last years. These methods are normally based on time-resolved, two-dimensional phase-contrast sequences with uni-directionally encoded velocities (2D PC-MRI). In contrast, three-dimensional acquisitions with tridirectional velocity encoding (4D PC-MRI) have been shown to be a suitable data source for detailed investigations of blood flow and spatial blood pressure maps. In order to avoid additional MR acquisitions, it would be advantageous if the aortic pressure waveform could also be computed from this particular form of MRI. Therefore, we propose an approach for the computation of the aortic pressure waveform which can be completely performed using 4D PC-MRI. After the application of a segmentation algorithm, the approach automatically computes the aortic pressure waveform without any manual steps. We show that our method agrees well with catheter measurements in an experimental phantom setup and produces physiologically realistic results in three healthy volunteers. |
| Starting Page | 731 |
| Ending Page | 734 |
| File Size | 1651009 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457702167 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2013.6609604 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-07-03 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Magnetic resonance imaging Spatial resolution Foot Blood Phantoms Manuals Catheters |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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