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Design and analysis of a practical 3D cones trajectory
Author(s) -
Gurney Paul T.,
Hargreaves Brian A.,
Nishimura Dwight G.
Publication year - 2006
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.20796
Subject(s) - aliasing , trajectory , computer science , sampling (signal processing) , algorithm , signal (programming language) , signal to noise ratio (imaging) , projection (relational algebra) , sequence (biology) , noise (video) , physics , computer vision , undersampling , image (mathematics) , filter (signal processing) , telecommunications , astronomy , biology , genetics , programming language
The 3D Cones k ‐space trajectory has many desirable properties for rapid and ultra‐short echo time magnetic resonance imaging. An algorithm is presented that generates the 3D Cones gradient waveforms given a desired field of view and resolution. The algorithm enables a favorable trade‐off between increases in readout time and decreases in the total number of required readouts. The resulting trajectory is very signal‐to‐noise ratio (SNR) efficient and has excellent aliasing properties. A rapid high‐resolution ultra‐short echo time imaging sequence is used to compare the 3D Cones trajectory to 3D projection reconstruction (3DPR) sampling schemes. For equivalent scan times, the 3D Cones trajectory has better SNR performance and fewer aliasing artifacts as compared to the 3DPR trajectory. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.