3D Cartesian MRI with compressed sensing and variable view sharing using complementary poisson-disc sampling.
To enable robust, high spatio-temporal-resolution three-dimensional Cartesian MRI using a scheme incorporating a novel variable density random k-space sampling trajectory allowing flexible and retrospective selection of the temporal footprint with compressed sensing (CS).



A complementary Poisson-disc k-space sampling trajectory was designed to allow view sharing and varying combinations of reduced view sharing with CS from the same prospective acquisition. These schemes were used for two-point Dixon-based dynamic contrast-enhanced MRI (DCE-MRI) of the breast and abdomen. Results were validated in vivo with a novel approach using variable-flip-angle data, which was retrospectively accelerated using the same methods but offered a ground truth.



In breast DCE-MRI, the temporal footprint could be reduced 2.3-fold retrospectively without introducing noticeable artifacts, improving depiction of rapidly enhancing lesions. Further, experiments with variable-flip-angle data showed that reducing view sharing improved accuracy in reconstruction and T1mapping. In abdominal MRI, 2.3-fold and 3.6-fold reductions in temporal footprint allowed reduced motion artifacts.



The complementary-Poisson-disc k-space sampling trajectory allowed a retrospective spatiotemporal resolution tradeoff using CS and view sharing, imparting robustness to motion and contrast enhancement. The technique was also validated using a novel approach of fully acquired variable-flip-angle acquisition. Magn Reson Med 77:1774-1785, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
Lucas Center, Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California, USA.
Evan
E
Levine
Lucas Center, Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California, USA.
Bruce
B
Daniel
Lucas Center, Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California, USA.
Shreyas
S
Vasanawala
Lucas Center, Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California, USA.
Brian
B
Hargreaves
Lucas Center, Departments of Electrical Engineering and Radiology, Stanford University, Stanford, California, USA.
Manojkumar
M
Saranathan
D000465:Algorithms; D016477:Artifacts; D001940:Breast / Q000000981:diagnostic imaging*; D001943:Breast Neoplasms / Q000000981:diagnostic imaging; D003287:Contrast Media; D044962:Data Compression / Q000379:methods; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008099:Liver / Q000000981:diagnostic imaging; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009038:Motion; D016012:Poisson Distribution; D011446:Prospective Studies; D012189:Retrospective Studies
D003287:Contrast Media
compressed sensing; dynamic contrast-enhanced MRI; view sharing