Abstract #0327

Enhanced cardiac motion capture during respiration via RF receiver cardiac focusing with respiratory motion compensation

Zheyuan Hu^1,2, Hsu-Lei Lee³, Tianle Cao^1,2, John Paul Finn^1,4, Kim-Lien Nguyen^1,2,4,5, and Anthony G. Christodoulou^1,2,4

¹Radiological Sciences, David Geffen School of Medicine, UCLA, Los Angeles, CA, United States, ²Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, ³Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁴UCLA Graduate Programs in Bioscience, University of California, UCLA, Los Angeles, CA, United States, ⁵Division of Cardiology, David Geffen School of Medicine at UCLA and VA Greater Los Angeles Healthcare System, Los Angeles, CA, United States

Synopsis

Keywords: Motion Correction, Motion Correction

Motivation: Cardiac MRI is hindered by respiratory motion.

Goal(s): To improve the representation of cardiac motion over respiratory motion and to reduce artifacts for cardiac- and respiratory-resolved imaging.

Approach: We added retrospective cardiac phased array RF focusing using region-optimized virtual coils (ROVir) alongside rigid motion compensation (MoCo) for low-rank tensor (LRT) reconstruction of ROCK-MUSIC data in pediatric congenital heart disease (CHD) patients. Evaluation metrics targeted cardiac motion prioritization, cardiac energy preservation, respiratory motion suppression, and flickering artifact reduction.

Results: The proposed techniques compensated respiratory motion over the heart, prioritized cardiac motion, diminished respiratory motion, and removed artifacts, while also accelerating reconstruction time.

Impact: The combination of MoCo and ROVir prioritizes modeling of cardiac motion, suppresses respiratory motion, and reduces artifacts. The improved respiratory handling from these techniques may provide an avenue for free-breathing scanning in pediatric patients with CHD.

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