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Abstract #4368

A Robust Free-breathing Data Acquisition Method for Reduction of Respiratory Motion Artifacts

Yongwan Lim 1 , Yeji Han 1 , and HyunWook Park 1

1 Department of Electrical Engineering, KAIST, Daejeon, Korea

In this abstract, a free-breathing data acquisition method was proposed for retrospective reconstruction in the abdomen. Based on a variable density sampling, multiple signals of the same PE are equidistantly acquired during a respiratory cycle and the consecutive PE steps are randomly distributed. Thus, this scheme prevented the adjacent PE lines from being densely acquired at non-quiescent respiratory phases. The proposed method was validated on a numerical simulation and in-vivo experiments from five healthy volunteers. The results showed high image quality comparable to the conventional data acquisition methods, thereby achieving reduction of respiratory motion artifacts.

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