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Golden‐ratio rotated stack‐of‐stars acquisition for improved volumetric MRI
Author(s) -
Zhou Ziwu,
Han Fei,
Yan Lirong,
Wang Danny J.J.,
Hu Peng
Publication year - 2017
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.26625
Subject(s) - streaking , computer science , imaging phantom , artificial intelligence , aliasing , computer vision , image quality , iterative reconstruction , artifact (error) , stars , physics , image (mathematics) , optics , undersampling
Purpose To develop and evaluate an improved stack‐of‐stars radial sampling strategy for reducing streaking artifacts. Methods The conventional stack‐of‐stars sampling strategy collects the same radial angle for every partition (slice) encoding. In an undersampled acquisition, such an aligned acquisition generates coherent aliasing patterns and introduces strong streaking artifacts. We show that by rotating the radial spokes in a golden‐angle manner along the partition‐encoding direction, the aliasing pattern is modified, resulting in improved image quality for gridding and more advanced reconstruction methods. Computer simulations were performed and phantom as well as in vivo images for three different applications were acquired. Results Simulation, phantom, and in vivo experiments confirmed that the proposed method was able to generate images with less streaking artifact and sharper structures based on undersampled acquisitions in comparison with the conventional aligned approach at the same acceleration factors. By combining parallel imaging and compressed sensing in the reconstruction, streaking artifacts were mostly removed with improved delineation of fine structures using the proposed strategy. Conclusions We present a simple method to reduce streaking artifacts and improve image quality in 3D stack‐of‐stars acquisitions by re‐arranging the radial spoke angles in the 3D partition direction, which can be used for rapid volumetric imaging. Magn Reson Med 78:2290–2298, 2017. © 2017 International Society for Magnetic Resonance in Medicine.