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| Name | Class |
|---|---|
| Amt der Steiermärkischen Landesregierung, Abteilung 3 | UNKNOWN |
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One of the main problems in cardiac magnetic resonance (MR) investigations is the strong dependence of the achieved image quality on optimal settings of sequence parameters and anatomical and physiological situations and it is well known that the diagnostic impact of cardiac MR investigations crucially depends on the adaption of imaging protocols to patients' state and ability to cooperate.
The aim of the present study is the evaluation and optimization of various 1.5 Tesla and 3 Tesla cardiac MR investigation protocols without application of contrast agent as well as the acquisition of normal values for new cardiac MR images techniques:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| healthy volunteers | MR compliant volunteers with no history of cardiovascular diseases |
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| Measure | Description | Time Frame |
|---|---|---|
| cardiac volumes | volumes of cardiac chambers in the cardiac cycle [ml], sequence- and protocol dependent | up to 1 week |
| cardiac performance | ejection fraction of cardiac chambers [%], sequence- and protocol dependent | up to 1 week |
| cardiac muscle mass | systolic and end-diastolic mass of cardiac chambers [g], sequence- and protocol dependent | up to 1 week |
| coronary artery anatomy | length and diameter [mm], sequence-, and protocol dependent | up to 1 week |
| blood flow velocity | maximum, minimum and average velocity [cm/s], sequence-, and protocol dependent | up to 1 week |
| blood flow vorticity | number of vortices of blood flow in the heart and surrounding great vessels, sequence and protocol dependent | up to 1 week |
| blood flow timing | time points of characteristic blood flow patterns in the heart and surrounding great vessels in the cardiac cycle [ms], sequence-, and protocol dependent | up to 1 week |
| magnetic relaxation times |
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Inclusion Criteria:
Exclusion Criteria:
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healthy volunteers
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ursula Reiter, PhD | Contact | +43-316-385 | 83347 | ursula.reiter@klinikum-graz.at |
| Michael Fuchsjäger, Prof. Dr. | Contact | +43-316-385 | 2411 | michael.fuchsjaeger@medunigraz.at |
| Name | Affiliation | Role |
|---|---|---|
| Ursula Reiter, PhD | Medical Unitersity Graz, Department of Radiology, Division of General Radiology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Medical Unitersity Graz, Department of Radiology, Division of General Radiology | Recruiting | Graz | Styria | 8036 | Austria |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 24475837 | Result | Reiter U, Reiter G, Dorr K, Greiser A, Maderthaner R, Fuchsjager M. Normal diastolic and systolic myocardial T1 values at 1.5-T MR imaging: correlations and blood normalization. Radiology. 2014 May;271(2):365-72. doi: 10.1148/radiol.13131225. Epub 2013 Dec 6. | |
| 32557819 | Result | Krauter C, Reiter U, Reiter C, Nizhnikava V, Masana M, Schmidt A, Fuchsjager M, Stollberger R, Reiter G. Automated mitral valve vortex ring extraction from 4D-flow MRI. Magn Reson Med. 2020 Dec;84(6):3396-3408. doi: 10.1002/mrm.28361. Epub 2020 Jun 18. |
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systolic and diastolic T1, T2, T2* [ms], sequence- and protocol dependent
| up to 1 week |
| 34023727 | Result | Reiter C, Reiter U, Krauter C, Nizhnikava V, Greiser A, Scherr D, Schmidt A, Fuchsjager M, Reiter G. Differences in left ventricular and left atrial function assessed during breath-holding and breathing. Eur J Radiol. 2021 Aug;141:109756. doi: 10.1016/j.ejrad.2021.109756. Epub 2021 May 7. |
| 37580598 | Result | Reiter C, Reiter G, Krauter C, Scherr D, Schmidt A, Fuchsjager M, Reiter U. Evaluation of left ventricular and left atrial volumetric function from native MR multislice 4D flow magnitude data. Eur Radiol. 2024 Feb;34(2):981-993. doi: 10.1007/s00330-023-10017-3. Epub 2023 Aug 15. |
| 33975097 | Result | Gillette K, Gsell MAF, Prassl AJ, Karabelas E, Reiter U, Reiter G, Grandits T, Payer C, Stern D, Urschler M, Bayer JD, Augustin CM, Neic A, Pock T, Vigmond EJ, Plank G. A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs. Med Image Anal. 2021 Jul;71:102080. doi: 10.1016/j.media.2021.102080. Epub 2021 Apr 22. |