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Abstract #0482

CAPTURE: Consistently-Acquired Projections for Tuned and Robust Estimation - A Self-Navigated Respiratory Motion Correction Approach

Cihat Eldeniz1, Tyler Fraum1, Amber Salter1, Yasheng Chen1, H. Michael Gach1, Parag J. Parikh1, Kathryn J. Fowler1, and Hongyu An1

1Washington University in St. Louis, St. Louis, MO, United States

In this study, we present a fully-automated and robust self-navigated approach to obtain 4D motion-resolved images during free breathing. A 1D navigator was acquired consistently in order to reduce the signal contamination due to system imperfections. The resulting projections were then 'tuned' using complex phase rotation for adapting to scan-to-scan variations, followed by the detection of the respiratory curve. CAPTURE successfully detected respiratory motion in all subjects. A blind radiological review by two radiologists shows the significant quality improvement in motion-corrected images.

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