title: Improved bulk rotation detection and correction in MRI.
abstract: Bulk motion occurring during the acquisition of magnetic resonance images (MRI) remains a significant limitation in image quality. The paper presents an extension to TRELLIS, a recently developed method of detecting and correcting for bulk motion. Accurate determination of the relative orientations of overlapping strips of k-space is demonstrated. Reconstructions for both simulated and actual MRI acquisitions are presented.
authors.affiliation: Computational Imaging Group, Department of Electrical and Computer Engingeering, University of Canterbury, Christchurch, New Zealand. phil.bones@canterbury.ac.nz
authors.forename: Philip J
authors.initials: PJ
authors.lastname: Bones
authors.forename: Julian R
authors.initials: JR
authors.lastname: Maclaren
mesh_terms: D000465:Algorithms; D016477:Artifacts; D001185:Artificial Intelligence; D001921:Brain / Q000473:pathology*; D003198:Computer Simulation; D004867:Equipment Design; D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000295:instrumentation* / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000295:instrumentation* / Q000379:methods*; D015233:Models, Statistical; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D019047:Phantoms, Imaging; D012399:Rotation