A Robust Free-breathing Data Acquisition Method for Reduction of Respiratory Motion Artifacts
Yongwan Lim 1 , Yeji Han 1 , and HyunWook Park 1
Department of Electrical Engineering, KAIST,
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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