Meeting Banner
Abstract #2083

On the Phase-Error Propagation in Diffusion-Weighted Steady State Free Precession (DW-SSFP) Imaging

Roland Bammer1, Rafael O'Halloran1

1Center for Quantitative Neuroimaging, Department of Radiology, Stanford University, Stanford, CA, United States

Diffusion-weighted SSFP (dwSSFP) offers an efficient diffusion preparation and is a promising approach to high-resolution 3D DW MRI. As a multi-shot technique dwSSFP is affected by shot-to-shot phase inconsistencies as all multi-shot diffusion-weighted sequences are. However, because the steady state signal is composed of the constructive addition of many phase coherence pathways, motion-induced phase accrued during the application of a single diffusion-encoding gradient can propagate to subsequent phase pathways. This represents an additional mechanism of signal loss in dwSSFP. In this work, these errors are classified into two types and strategies for correcting each type are discussed.

Keywords

absence accrual accrued acquisition acquisitions actually adjusting adjustments amount amplitude approaches arrow audience become becomes black blip blips blue bulk causative caused coherence coherences compensation complex conjugate considerable contribute correct corrected correction crucial dashed demand depending described description despite destructive diffusion done early easier echoes efficient eliminate eliminated encoded encoding error errors expected explains fact fixed folks formation formed foundation free fully gets ghosts give gradient gradients immediately impact improve increasing individual induced influence interference interferes intermingled interval introduce introduced linear loss magnetization magnitude makes measured motion much navigator next note occurring occurs passed path perturbed phantom physics physiologic played precession preparation presence prevent prior propagate propagated propagating pulse puzzling quantitative reaches reaching real reconstruct reconstruction regular residual resolution retrospectively returns sensitivity several short simplicity slice spin steady storage strong subsequent subset substantially summary superior superposition take takes tanner target theory type typically uncorrected understand understanding unlike unpredictable variable warranted zero