Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EMBC.2013.6609604 | EMBC |
Keywords | Field | DocType |
blood flow,cardiology,image coding,blood pressure measurement,2d pc-mri,noninvasive mri-based measurement,waveform analysis,catheter measurements,4d pc-mri,image segmentation,unidirectionally encoded velocities,4d phase-contrast mri,biomedical mri,spatial blood pressure,image sequences,aortic pressure waveform,three-dimensional acquisitions,two-dimensional phase-contrast sequences,phantoms,medical image processing,heart cycle,phantom,tri-directional velocity encoding,haemodynamics,catheters,magnetic resonance imaging,spatial resolution,foot | Biomedical engineering,Aortic pressure,Blood flow,Segmentation,Computer science,Imaging phantom,Waveform,Image segmentation,Blood pressure,Real-time MRI | Conference |
Volume | ISSN | Citations |
2013 | 1557-170X | 0 |
PageRank | References | Authors |
0.34 | 1 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Delles | 1 | 22 | 3.93 |
| Rengier Fabian | 2 | 0 | 0.68 |
| Yoo-Jin Jeong | 3 | 3 | 1.49 |
| von Tengg-Kobligk Hendrik | 4 | 4 | 1.50 |
| Sebastian Ley | 5 | 0 | 0.34 |
| Kauczor Hans-Ulrich | 6 | 0 | 1.01 |
| Rüdiger Dillmann | 7 | 2201 | 262.95 |
| Roland Unterhinninghofen | 8 | 21 | 7.85 |