The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
4D flow MRI
Open accessAbstract
Traditionally, magnetic resonance imaging (MRI) of flow using phase contrast (PC) methods is accomplished using methods that resolve single‐directional flow in two spatial dimensions (2D) of an individual slice. More recently, three‐dimensional (3D) spatial encoding combined with three‐directional velocity‐encoded phase contrast MRI (here termed 4D flow MRI) has drawn increased attention. 4D flow MRI offers the ability to measure and to visualize the temporal evolution of complex blood flow patterns within an acquired 3D volume. Various methodological improvements permit the acquisition of 4D flow MRI data encompassing individual vascular structures and entire vascular territories such as the heart, the adjacent aorta, the carotid arteries, abdominal, or peripheral vessels within reasonable scan times. To subsequently analyze the flow data by quantitative means and visualization of complex, three‐directional blood flow patterns, various tools have been proposed. This review intends to introduce currently used 4D flow MRI methods, including Cartesian and radial data acquisition, approaches for accelerated data acquisition, cardiac gating, and respiration control. Based on these developments, an overview is provided over the potential this new imaging technique has in different parts of the body from the head to the peripheral arteries. J. Magn. Reson. Imaging 2012;36:1015–1036. © 2012 Wiley Periodicals, Inc.
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Sparse MRI: The application of compressed sensing for rapid MR imaging
Lustig, M., Donoho, D., & Pauly, J. M. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21391 · Cited by 6,952
Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments
Carr, H. Y., & Purcell, E. M. (1954) · Physical Review · doi:10.1103/physrev.94.630 · Cited by 6,466
Hemodynamic shear stress and its role in atherosclerosis
Malek, A. M. (1999) · JAMA · doi:10.1001/jama.282.21.2035 · Cited by 3,650
Kircher, B. J., Himelman, R. B., & Schiller, N. B. (1990) · The American Journal of Cardiology · doi:10.1016/0002-9149(90)90711-9 · Cited by 1,027
Atherosclerotic Disease of the Aortic Arch and the Risk of Ischemic Stroke
Amarenco, P., Cohen, A., Tzourio, C., Bertrand, B., Hommel, M., Besson, G., Chauvel, C., Touboul, P.-J., & Bousser, M.-G. (1994) · New England Journal of Medicine · doi:10.1056/nejm199412013312202 · Cited by 1,008
Atherosclerotic Lesion Size and Vulnerability Are Determined by Patterns of Fluid Shear Stress
Cheng, C., Tempel, D., van Haperen, R., van der Baan, A., Grosveld, F., Daemen, M. J. A. P., Krams, R., & de Crom, R. (2006) · Circulation · doi:10.1161/circulationaha.105.590018 · Cited by 1,000
Carabello, B. A., & Paulus, W. J. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60211-7 · Cited by 818
Adaptive technique for high-definition MR imaging of moving structures.
Ehman, R. L., & Felmlee, J. P. (1989) · Radiology · doi:10.1148/radiology.173.1.2781017 · Cited by 801
k‐t BLAST and k‐t SENSE: Dynamic MRI with high frame rate exploiting spatiotemporal correlations
Tsao, J., Boesiger, P., & Pruessmann, K. P. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10611 · Cited by 794
A flow velocity zeugmatographic interlace for NMR imaging in humans
Moran, P. R. (1982) · Magnetic Resonance Imaging · doi:10.1016/0730-725x(82)90170-9 · Cited by 745
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Review of Photoacoustic Flow Imaging: Its Current State and Its Promises
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Johnson, E. M. I., Heller, J. A., Garcia Vicente, F., Sarnari, R., Gordon, D., McCarthy, P. M., Barker, A. J., Etemadi, M., & Markl, M. (2020) · Annals of Biomedical Engineering · doi:10.1007/s10439-020-02491-3 · Cited by 14
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Metadata
- Authors
- Markl, M., Frydrychowicz, A., Kozerke, S., Hope, M., & Wieben, O.
- Venue
- Journal of Magnetic Resonance Imaging
- Publisher
- Wiley
- Published
- 2012-10-22
- Volume
- 36
- Issue
- 5
- Pages
- 1015-1036
- ISSN
- 1053-1807 (ISSN-L)
- 1522-2586
- OpenAlex
- W2069444004
- Cited by
- 788
- References
- 77
- FWCI
- 23.59
- Type
- journal article
- Language
- en
- Open access
- bronze
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