title: K-space trajectory mapping and its application for ultrashort Echo time imaging.
abstract: MR images are affected by system delays and gradient field imperfections which induce discrepancies between prescribed and actual k-space trajectories. This could be even more critical for non-Cartesian data acquisitions where even a small deviation from the assumed k-space trajectory results in severe image degradation and artifacts. Knowledge of the actual k-space trajectories is therefore crucial and can be incorporated in the reconstruction of high quality non-Cartesian images. A novel MR method for the calibration of actual gradient waveforms was developed using a combination of phase encoding increments and subsequent detection of the exact time point at which the corresponding trajectory is crossing the k-space origin. The measured sets of points were fitted to a parametrical model to calculate the complete actual acquisition trajectory. Measurements performed on phantoms and volunteers, positioned both in- and off-isocenter of the magnet, clearly demonstrate the improvement in reconstructed ultrashort echo time (UTE) images, when information from calibration of k-space sampling trajectories is employed in the MR image reconstruction procedure. The unique feature of the proposed method is its robustness and simple experimental setup, making it suitable for quick acquisition trajectory calibration procedures e.g. for non-Cartesian radial fast imaging.
authors.affiliation: Central European Institute of Technology, Masaryk University, Brno, Czech Republic. Electronic address: lattape@gmail.com.
authors.forename: Peter
authors.initials: P
authors.lastname: Latta
authors.affiliation: Institute of Scientific Instruments, Academy of Sciences of the Czech Republic, Brno, Czech Republic.
authors.forename: Zenon
authors.initials: Z
authors.lastname: Starčuk
authors.affiliation: Biological Resources Imaging Laboratory, Mark Wainwright Analytical Centre, Level 4, Lowy Cancer Research Centre, UNSW Australia, Sydney, NSW 2052, Australia.
authors.forename: Marco L H
authors.initials: ML
authors.lastname: Gruwel
authors.affiliation: McGill Scoliosis and Spine Centre, McGill University Health Centre, Montreal General Hospital site, A5-169, 1650 Cedar Avenue, Montreal, Quebec, H3G 1A4, Canada.
authors.forename: Michael H
authors.initials: MH
authors.lastname: Weber
authors.affiliation: Central European Institute of Technology, Masaryk University, Brno, Czech Republic; University of Alberta, Department of Oncology, Division of Medical Physics, 8303 - 112 Street NW, Edmonton, AB, T6G 2T4, Canada.
authors.forename: Boguslaw
authors.initials: B
authors.lastname: Tomanek
mesh_terms: D000465:Algorithms; D016477:Artifacts; D002138:Calibration; D006257:Head / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D007717:Knee / Q000033:anatomy & histology / Q000000981:diagnostic imaging; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008962:Models, Theoretical; D019047:Phantoms, Imaging
keywords: Gradient imperfections; K-space deviation; Trajectory estimation; Ultrashort echo time (UTE)