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Self‐navigated 4D cartesian imaging of periodic motion in the body trunk using partial k‐space compressed sensing
Author(s) -
Küstner Thomas,
Würslin Christian,
Schwartz Martin,
Martirosian Petros,
Gatidis Sergios,
Brendle Cornelia,
Seith Ferdinand,
Schick Fritz,
Schwenzer Nina F.,
Yang Bin,
Schmidt Holger
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.26406
Subject(s) - k space , computer vision , computer science , compressed sensing , cartesian coordinate system , artificial intelligence , image quality , randomness , rotation (mathematics) , mathematics , fourier transform , mathematical analysis , image (mathematics) , geometry , statistics
Purpose To enable fast and flexible high‐resolution four‐dimensional (4D) MRI of periodic thoracic/abdominal motion for motion visualization or motion‐corrected imaging. Methods We proposed a Cartesian three‐dimensional k‐space sampling scheme that acquires a random combination of k‐space lines in thek y / k zplane. A partial Fourier–like constraint compacts the sampling space to one half of k‐space. The central k‐space line is periodically acquired to allow an extraction of a self‐navigated respiration signal used to populate a k‐space of multiple breathing positions. The randomness of the acquisition (induced by periodic breathing pattern) yields a subsampled k‐space that is reconstructed using compressed sensing. Local image evaluations (coefficient of variation and slope steepness through organs) reveal information about motion resolvability. Image quality is inspected by a blinded reading. Sequence and reconstruction method are made publicly available. Results The method is able to capture and reconstruct 4D images with high image quality and motion resolution within a short scan time of less than 2 min. These findings are supported by restricted‐isometry‐property analysis, local image evaluation, and blinded reading. Conclusion The proposed method provides a clinical feasible setup to capture periodic respiratory motion with a fast acquisition protocol and can be extended by further surrogate signals to capture additional periodic motions. Retrospective parametrization allows for flexible tuning toward the targeted applications. Magn Reson Med 78:632–644, 2017. © 2016 International Society for Magnetic Resonance in Medicine