Abstract #4871

Hepatic 5D flow: An Effective Acquisition and Reconstruction Scheme for Portal Vein

Ruiyu Cao¹, Shaohang Li¹, Hongwei Li¹, Ying-Hua Chu², Aiqi Sun³, Ning Jin⁴, Xu Yan², Yunzhu Wu², Daniel Nico Splitthoff⁵, Hao Li¹, and He Wang¹

¹Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China, ²MR Research Collaboration Team, Siemens Healthineers Ltd., Shanghai, China, ³Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, Austin, TX, United States, ⁴Siemens Medical Solutions USA, Inc., Chicago, IL, United States, ⁵Siemens Healthcare GmbH, Erlangen, Germany

Synopsis

Keywords: Velocity/Flow, Velocity & Flow

Motivation: 4D flow imaging in the liver suffers from long acquisition time and inefficient motion control.

Goal(s): Address the challenges of prolonged acquisition time and significant motion artifacts in hepatic 4D flow imaging.

Approach: We collected data from all respiratory states without a diaphragm navigator, and retrospectively reconstructed respiratory-resolved 5D flow using simultaneously recorded breathing signal.

Results: This scheme reduced the acquisition time from over 10 minutes to 6-8 minutes, while maintaining consistent image quality with few motion artifacts. High quantitative correlation in hepatic hemodynamic results was found between the results from prospectively navigated data and retrospectively binned data.

Impact: The proposed hepatic 5D flow scheme achieved high image quality and quantitative metrics, compared with those of diaphragm navigated results. This scheme can effectively shorten the acquisition time to 6-8 minutes and mitigate motion artifacts.

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