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Highly accelerated aortic 4D flow MR imaging with variable-density random undersampling
University of Calif San Francisco, CA 94107 USA .
Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Univ Calif San Francisco, CA 94107 USA.
University of Calif San Francisco, CA 94107 USA .
University of Calif San Francisco, CA 94107 USA .
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2014 (English)In: Magnetic Resonance Imaging, ISSN 0730-725X, E-ISSN 1873-5894, Vol. 32, no 8, 1012-1020 p.Article in journal (Refereed) Published
Abstract [en]

Purpose: To investigate an effective time-resolved variable-density random undersampling scheme combined with an efficient parallel image reconstruction method for highly accelerated aortic 4D flow MR imaging with high reconstruction accuracy. Materials and Methods: Variable-density Poisson-disk sampling (vPDS) was applied in both the phase-slice encoding plane and the temporal domain to accelerate the time-resolved 3D Cartesian acquisition of flow imaging. In order to generate an improved initial solution for the iterative self-consistent parallel imaging method (SPIRiT), a sample-selective view sharing reconstruction for time-resolved random undersampling (STIRRUP) was introduced. The performance of different undersampling and image reconstruction schemes were evaluated by retrospectively applying those to fully sampled data sets obtained from three healthy subjects and a flow phantom. Results: Undersampling pattern based on the combination of time-resolved vPDS, the temporal sharing scheme STIRRUP, and parallel imaging SPIRiT, were able to achieve 6-fold accelerated 40 flow MRI with high accuracy using a small number of coils (N = 5). The normalized root mean square error between aorta flow waveforms obtained with the acceleration method and the fully sampled data in three healthy subjects was 0.04 +/- 0.02, and the difference in peak-systolic mean velocity was -0.29 +/- 2.56 cm/s. Conclusion: Qualitative and quantitative evaluation of our preliminary results demonstrate that time-resolved variable-density random sampling is efficient for highly accelerating 40 flow imaging while maintaining image reconstruction accuracy.

Place, publisher, year, edition, pages
Elsevier , 2014. Vol. 32, no 8, 1012-1020 p.
Keyword [en]
Undersampling; Random; Time-resolved; Parallel imaging; Flow; View sharing
National Category
Medical Engineering
URN: urn:nbn:se:liu:diva-110955DOI: 10.1016/j.mri.2014.05.004ISI: 000341068300006PubMedID: 24846341OAI: diva2:752298

Funding Agencies|NIH [K25 EB014914, R01 NS059944]; VA MERIT Review grant; [VR 621-2013-6077]

Available from: 2014-10-03 Created: 2014-10-01 Last updated: 2015-03-18

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Dyverfeldt, Petter
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Division of Cardiovascular MedicineFaculty of Health SciencesCenter for Medical Image Science and Visualization (CMIV)
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