Ebel, Sebastian; Dufke, Josefin; Köhler, Benjamin; Preim, Bernhard; Behrendt, Benjamin; Riekena, Boris; Jung, Bernd; Stehning, Christian; Kropf, Siegfried; Grothoff, Matthias; Gutberlet, Matthias (2020). Automated Quantitative Extraction and Analysis of 4D flow Patterns in the Ascending Aorta: An intraindividual comparison at 1.5 T and 3 T. Scientific reports, 10(1), p. 2949. Springer Nature 10.1038/s41598-020-59826-2
|
Text
Automated_jung.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (3MB) | Preview |
4D flow MRI enables quantitative assessment of helical flow. Current methods are susceptible to noise. To evaluate helical flow patterns in healthy volunteers and patients with bicuspid aortic valves (BAV) at 1.5 T and 3 T using pressure-based helix-extraction in 4D flow MRI. Two intraindividual 4D flow MRI examinations were performed at 1.5 T and 3 T in ten healthy volunteers (5 females, 32 ± 3 years) and 2 patients with BAV using different acceleration techniques (kt-GRAPPA and centra). Several new quantitative parameters for the evaluation of volumes [ml], lengths [mm] as well as temporal parameters [ms] of helical flow were introduced and analyzed using the software tool Bloodline. We found good correlations between measurements in volunteers at 1.5 T and 3 T regarding helical flow volumes (R = 0.98) and temporal existence (R = 0.99) of helices in the ascending aorta. Furthermore, we found significantly larger (11.7 vs. 77.6 ml) and longer lasting (317 vs. 769 ms) helices in patients with BAV than in volunteers. The assessed parameters do not depend on the magnetic field strength used for the acquisition. The technique of pressure-based extraction of 4D flow MRI pattern is suitable for differentiation of normal and pathological flow.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Department of Radiology, Neuroradiology and Nuclear Medicine (DRNN) > Institute of Diagnostic, Interventional and Paediatric Radiology |
UniBE Contributor: |
Jung, Bernd |
Subjects: |
600 Technology > 610 Medicine & health |
ISSN: |
2045-2322 |
Publisher: |
Springer Nature |
Language: |
English |
Submitter: |
Maria de Fatima Henriques Bernardo |
Date Deposited: |
04 Mar 2020 15:42 |
Last Modified: |
05 Dec 2022 15:36 |
Publisher DOI: |
10.1038/s41598-020-59826-2 |
PubMed ID: |
32076060 |
BORIS DOI: |
10.7892/boris.140814 |
URI: |
https://boris.unibe.ch/id/eprint/140814 |
Actions (login required)
 |
Edit item |