title: Comprehensive reconstruction of multi-shot multi-channel diffusion data using mussels.
abstract: Echo planar imaging (EPI)-based magnetic resonance imaging (MRI) data are often corrupted by Nyquist ghost artifacts resulting from odd-even shifts of the EPI read-outs. Algorithms that corrects for the Nyquist ghost artifacts rely on calibration scans that are collected prior to the data acquisition. However, a more complex pattern of ghosting artifacts arises when diffusion-weighted data are acquired using segmented k-space EPI read-outs. The additional under-sampling present in the segmented acquisitions and the inter-shot motion during diffusion weighted acquistion cause ghosting artifacts in addition to the EPI ghosting arising from odd-even shifts. We propose a comprehensive method that can remove the Nyquist-ghosting artifacts as well as the inter-shot motion-induced ghosting artifacts in diffusion weighted images in a single step from partial Fourier data without the need for a calibration scan. We show very high quality diffusion data recovery using the proposed method.
authors.forename: Merry
authors.initials: M
authors.lastname: Mani
authors.forename: Vincent
authors.initials: V
authors.lastname: Magnotta
authors.forename: Douglas
authors.initials: D
authors.lastname: Kelley
authors.forename: Mathews
authors.initials: M
authors.lastname: Jacob
mesh_terms: D000465:Algorithms; D000818:Animals; D016477:Artifacts; D049872:Bivalvia; D002138:Calibration; D038524:Diffusion Magnetic Resonance Imaging; D017352:Echo-Planar Imaging; D007089:Image Enhancement