Abstract #0325

Ultra-High-Dimensional Flow Imaging (N-D Flow)

Joseph Y. Cheng¹, Tao Zhang¹, Marcus T. Alley¹, Michael Lustig², John M. Pauly³, and Shreyas S. Vasanawala¹

¹Radiology, Stanford University, Stanford, CA, United States, ²Electrical Engineering & Computer Sciences, University of California, Berkeley, CA, United States, ³Electrical Engineering, Stanford University, Stanford, CA, United States

Volumetric cardiac-resolved flow imaging (4D flow) can enable the assessment of flow, function, and anatomy from a single sequence. Here, 4D flow is extended to higher dimensional space as N-D flow. By resolving different dynamics such as respiration or contrast enhancement, more diagnostic information can be extracted for a single-sequence protocol. Furthermore, this potentially improves image quality and quantification accuracy. N-D flow is enabled by a compressed-sensing and parallel imaging based acquisition and reconstruction. The feasibility of this approach is demonstrated for pediatric imaging.

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