title: Coil-by-coil image reconstruction with SMASH.
abstract: The SiMultaneous Acquisition of Spatial Harmonics (SMASH) technique uses linear combinations of undersampled datasets from the component coils of an RF coil array to reconstruct fully sampled composite datasets in reduced imaging times. In previously reported implementations, SMASH reconstructions were designed to reproduce the images that would otherwise be obtained by simple sums of fully gradient encoded component coil images. This strategy has left SMASH images vulnerable to phase cancellation artifacts when the sensitivities of RF coil array elements are not suitably phase-aligned. In fully gradient encoded imaging schemes these artifacts can be eliminated using a variety of methods for combining the individual coil images, including matched filter combinations as well as sum of squares combinations. Until now, these reconstruction schemes have been unavailable to SMASH reconstructions as SMASH produced a final composite image directly from the raw component coil k-space datasets. This article demonstrates a modification to SMASH that allows reconstruction of a full set of accelerated individual component coil images by fitting component coil sensitivity functions to a complete set of spatial harmonics tailored for each coil in the array. Standard component coil combinations applied to the individual reconstructed images produce final composite images free of phase cancellation artifacts.
authors.affiliation: Department of Medicine, Cardiovascular Division, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts 02215, USA. charles_mckenzie@caregroup.harvard.edu
authors.forename: C A
authors.initials: CA
authors.lastname: McKenzie
authors.forename: M A
authors.initials: MA
authors.lastname: Ohliger
authors.forename: E N
authors.initials: EN
authors.lastname: Yeh
authors.forename: M D
authors.initials: MD
authors.lastname: Price
authors.forename: D K
authors.initials: DK
authors.lastname: Sodickson
mesh_terms: D000005:Abdomen / Q000033:anatomy & histology; D000328:Adult; D004867:Equipment Design; D006801:Humans; D007089:Image Enhancement / Q000295:instrumentation*; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D019047:Phantoms, Imaging; D012016:Reference Values; D012680:Sensitivity and Specificity