Aortic Stenosis assessment with a 3-directional phase contrast magnetic resonance technique. Comparison to transthoracic echocardiography

Silveira, Juliana Serafim da; Smyke, Matthew; Jin, Ning; Ahmad, Rizwan; Jafari, Lua; Scandling, Debbie; Dickerson, Jennifer A.; Raman, Subha V.; Simonetti, Orlando P.

doi:10.1186/1532-429x-17-s1-p381

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“…Because of impractically long acquisition times associated with 4D flow imaging, clinical application of PC‐MRI is generally limited to planar imaging with a single velocity encoding direction. The accuracy of such an approach is sensitive to the placement of the imaging plane and the misalignment of the velocity encoding direction with respect to the blood flow direction, resulting in underestimation of the flow and velocity and, in turn, potential misclassification of disease severity. In contrast, 4D flow imaging, with its volumetric coverage and ability to capture all three components of the velocity, avoids some of the potential measurement errors associated with planar imaging.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian approach for 4D flow imaging of aortic valve in a single breath‐hold

Rich

Potter

Jin³

et al. 2018

Magnetic Resonance in Med

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Purpose To develop and validate a data processing technique that allows phase‐contrast MRI‐based 4D flow imaging of the aortic valve in a single breath‐hold. Theory and Methods To regularize the ill‐posed inverse problem, we extend a recently proposed 2D phase‐contrast MRI method to 4D flow imaging. Adopting an empirical Bayes approach, spatial and temporal redundancies are exploited via sparsity in the wavelet domain, and the voxel‐wise magnitude and phase structure across encodings is captured in a conditional mixture prior that applies regularizing constraints based on the presence of flow. We validate the proposed technique using data from a mechanical flow phantom and five healthy volunteers. Results The flow parameters derived from the proposed technique are in good agreement with those derived from reference datasets for both in vivo and mechanical flow experiments at accelerations rates as high as R = 27. Additionally, the proposed technique outperforms kt SPARSE‐SENSE and a method that exploits spatio‐temporal sparsity but does not utilize signal structure across encodings. Conclusions Using the proposed technique, it is feasible to highly accelerate 4D flow acquisition and thus enable aortic valve imaging within a single breath‐hold.

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Section: Introductionmentioning

confidence: 99%