Meeting Banner
Abstract #2422

Application of K-Space Energy Spectrum Analysis to Artifact Correction in PROPELLER EPI

Zhengguo Tan1, Nan-kuei Chen2

1Department of Biomedical Engineering, Duke University, Durham, NC, United States; 2Brain Imaging and Analysis Center, Duke University, Durham, NC - North Carolina, United States

The sequence that integrates PROPELLER and EPI has proven valuable for studies that require high throughput and tolerance to subject motion. However, the PROPELLER-EPI quality is usually degraded by distortions resulting from background susceptibility field gradients. Although the distortion can potentially be corrected through B0 mapping, it is not easy to use a conventional B0 mapping procedure to quantify the field inhomogeneities that may change from blade to blade due to subject motion. The goal of this study is to characterize the B0 field inhomogeneity patterns directly from each blade of the PROPELLER-EPI data using the k-space energy spectrum analysis.

Keywords

accurate acquisition although appear application apply around artifact artifacts background better biomedical blade blades blurred brain calculation central characterize circle combined components converted correct corrected correction degraded derived directly displacement distorted distortion distortions duke easy effective efficiency eliminate enabling encoding energy engineering enhanced estimation even every field final finally form frequency fundamentals future generate geometric goal gradients highly improve inconsistent inhomogeneity input instead integrates intra involve iterative leads linear makes mapping maps matched mathematical motion moved much north novel occurs original overlapping overlaps parallel partial patterns peak periodically pipe planar positions potentially presence procedure produce propeller propose proposed proven pulse quality quantify reconstruct reconstructed reconstruction reduction reliably require robustness rotating rotation sampling severely simulation since space specifically spectrum studies subject susceptibility throughout throughput tolerance transform transformed translation undistorted usually valuable worse