FREE-BREATHING PERFUSION MEASUREMENT USING RESPIRATORY MOTION PREDICTION
Hao Song 1 , Wenyang Liu 2 , Dan Ruan 2,3 , Sungkyu Jung 4 , and H Michael Gach 1,5
Radiology, University of Pittsburgh,
Pittsburgh, PA, United States,
University of California, Los Angeles, Los Angeles, CA,
Radiation Oncology, University
of California, Los Angeles, Los Angeles, CA, United
University of Pittsburgh, Pittsburgh, PA, United States,
University of Pittsburgh, Pittsburgh, PA, United States
A respiratory motion predictor (RMP) was implemented to
prospectively correct respiratory motion for arterial
spin labeling (ASL) in the abdomen. An artificial neural
network (ANN) algorithm predicted the position of the
image slices at the time of acquisition. The ASL
sequence adjusted the image acquisition in real-time
based on the RMP data obtained during the transit delay.
The ANN algorithm accurately predicted the diaphragm
motion during the ASL acquisition with an error of 0.8
mm. Renal perfusion maps were consistent with maps
acquired using breathhold with respiratory feedback,
while requiring much less effort from the subject and
less exam time.
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