The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Self‐gated cardiac cine MRI
Open accessAbstract
The need for ECG gating presents many difficulties in cardiac magnetic resonance imaging (CMRI). Real‐time imaging techniques eliminate the need for ECG gating in cine CMRI, but they cannot offer the spatial and temporal resolution provided by segmented acquisition techniques. Previous MR signal‐based techniques have demonstrated an ability to provide cardiac gating information; however, these techniques result in decreased imaging efficiency. The purpose of this work was to develop a new “self‐gated” (SG) acquisition technique that eliminates these efficiency deficits by extracting the motion synchronization signal directly from the same MR signals used for image reconstruction. Three separate strategies are proposed for deriving the SG signal from data acquired using radial k‐space sampling: echo peak magnitude, kymogram, and 2D correlation. The SG techniques were performed on seven normal volunteers. A comparison of the results showed that they provided cine image series with no significant differences in image quality compared to that obtained with conventional ECG gating techniques. SG techniques represent an important practical advance in clinical MRI because they enable the acquisition of high temporal and spatial resolution cardiac cine images without the need for ECG gating and with no loss in imaging efficiency. Magn Reson Med 51:93–102, 2004. © 2003 Wiley‐Liss, Inc.
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Cited by
Markl, M., Frydrychowicz, A., Kozerke, S., Hope, M., & Wieben, O. (2012) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23632 · Cited by 788
Feng, L., Axel, L., Chandarana, H., Block, K. T., Sodickson, D. K., & Otazo, R. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25665 · Cited by 667
Magnetic resonance multitasking for motion-resolved quantitative cardiovascular imaging
Christodoulou, A. G., Shaw, J. L., Nguyen, C., Yang, Q., Xie, Y., Wang, N., & Li, D. (2018) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0217-y · Cited by 323
Self-citationDetecting Aortic Valve-Induced Abnormal Flow with Seismocardiography and Cardiac MRI
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
Metadata
- Authors
- Larson, A. C., White, R. D., Laub, G., McVeigh, E. R., Li, D., & Simonetti, O. P.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2003-12-29
- Volume
- 51
- Issue
- 1
- Pages
- 93-102
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2039325635
- Cited by
- 419
- References
- 11
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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