scholarly journals k-t FOCUSS: A general compressed sensing framework for high resolution dynamic MRI

2008 ◽  
Vol 61 (1) ◽  
pp. 103-116 ◽  
Author(s):  
Hong Jung ◽  
Kyunghyun Sung ◽  
Krishna S. Nayak ◽  
Eung Yeop Kim ◽  
Jong Chul Ye
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
Dynamic Mri

scholarly journals Compressed Sensing for fMRI: Feasibility Study on the Acceleration of Non-EPI fMRI at 9.4T

2015 ◽  
Vol 2015 ◽  
pp. 1-24 ◽  
Author(s):  
Paul Kyu Han ◽  
Sung-Hong Park ◽  
Seong-Gi Kim ◽  
Jong Chul Ye
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
Temporal Resolution ◽  
High Performance ◽  
Dynamic Mri ◽  
Local Magnetic Field ◽  
Planar Imaging ◽  
Somatosensory Stimulation ◽  
Echo Planar ◽  
Statistical Criteria

Conventional functional magnetic resonance imaging (fMRI) technique known as gradient-recalled echo (GRE) echo-planar imaging (EPI) is sensitive to image distortion and degradation caused by local magnetic field inhomogeneity at high magnetic fields. Non-EPI sequences such as spoiled gradient echo and balanced steady-state free precession (bSSFP) have been proposed as an alternative high-resolution fMRI technique; however, the temporal resolution of these sequences is lower than the typically used GRE-EPI fMRI. One potential approach to improve the temporal resolution is to use compressed sensing (CS). In this study, we tested the feasibility ofk-tFOCUSS—one of the high performance CS algorithms for dynamic MRI—for non-EPI fMRI at 9.4T using the model of rat somatosensory stimulation. To optimize the performance of CS reconstruction, different sampling patterns andk-tFOCUSS variations were investigated. Experimental results show that an optimizedk-tFOCUSS algorithm with acceleration by a factor of 4 works well for non-EPI fMRI at high field under various statistical criteria, which confirms that a combination of CS and a non-EPI sequence may be a good solution for high-resolution fMRI at high fields.

scholarly journals Quantification of Hepatic Blood Flow Using a High-Resolution Phase-Contrast MRI Sequence With Compressed Sensing Acceleration

2015 ◽  
Vol 204 (3) ◽  
pp. 510-518 ◽  
Author(s):  
Hadrien A. Dyvorne ◽  
Ashley Knight-Greenfield ◽  
Cecilia Besa ◽  
Nancy Cooper ◽  
Julio Garcia-Flores ◽  
...  
Keyword(s):  
Blood Flow ◽  
High Resolution ◽  
Compressed Sensing ◽  
Hepatic Blood Flow ◽  
Phase Contrast ◽  
Phase Contrast Mri

scholarly journals Compressed sensing in dynamic MRI

2008 ◽  
Vol 59 (2) ◽  
pp. 365-373 ◽  
Author(s):  
Urs Gamper ◽  
Peter Boesiger ◽  
Sebastian Kozerke
Keyword(s):  
Compressed Sensing ◽  
Dynamic Mri

scholarly journals Compressed Sensing 3D‐GRASE for faster High‐Resolution MRI

2019 ◽  
Vol 82 (3) ◽  
pp. 984-999 ◽  
Author(s):  
A. Cristobal‐Huerta ◽  
D.H.J. Poot ◽  
M.W. Vogel ◽  
G.P. Krestin ◽  
J.A. Hernandez‐Tamames
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
High Resolution Mri

High-resolution compressed-sensing time-of-flight MRA in a case of acute ICA/MCA dissection

2020 ◽  
Vol 62 (6) ◽  
pp. 753-756 ◽  
Author(s):  
Theo Demerath ◽  
Leo Bonati ◽  
Amgad El Mekabaty ◽  
Tilman Schubert
Keyword(s):  
High Resolution ◽  
Compressed Sensing ◽  
Time Of Flight ◽  
Sensing Time

scholarly journals 3D Dixon water-fat LGE imaging with image navigator and compressed sensing in cardiac MRI

2020 ◽  
Author(s):  
Martin Georg Zeilinger ◽  
Marco Wiesmüller ◽  
Christoph Forman ◽  
Michaela Schmidt ◽  
Camila Munoz ◽  
...  
Keyword(s):  
High Resolution ◽  
Image Quality ◽  
Compressed Sensing ◽  
Cardiac Mri ◽  
Three Dimensional ◽  
Fat Suppression ◽  
Diagnostic Confidence ◽  
Pericardial Disease ◽  
Scan Time ◽  
Wilcoxon Rank Sum Test

Abstract Objectives To evaluate an image-navigated isotropic high-resolution 3D late gadolinium enhancement (LGE) prototype sequence with compressed sensing and Dixon water-fat separation in a clinical routine setting. Material and methods Forty consecutive patients scheduled for cardiac MRI were enrolled prospectively and examined with 1.5 T MRI. Overall subjective image quality, LGE pattern and extent, diagnostic confidence for detection of LGE, and scan time were evaluated and compared to standard 2D LGE imaging. Robustness of Dixon fat suppression was evaluated for 3D Dixon LGE imaging. For statistical analysis, the non-parametric Wilcoxon rank sum test was performed. Results LGE was rated as ischemic in 9 patients and non-ischemic in 11 patients while it was absent in 20 patients. Image quality and diagnostic confidence were comparable between both techniques (p = 0.67 and p = 0.66, respectively). LGE extent with respect to segmental or transmural myocardial enhancement was identical between 2D and 3D (water-only and in-phase). LGE size was comparable (3D 8.4 ± 7.2 g, 2D 8.7 ± 7.3 g, p = 0.19). Good or excellent fat suppression was achieved in 93% of the 3D LGE datasets. In 6 patients with pericarditis, the 3D sequence with Dixon fat suppression allowed for a better detection of pericardial LGE. Scan duration was significantly longer for 3D imaging (2D median 9:32 min vs. 3D median 10:46 min, p = 0.001). Conclusion The 3D LGE sequence provides comparable LGE detection compared to 2D imaging and seems to be superior in evaluating the extent of pericardial involvement in patients suspected with pericarditis due to the robust Dixon fat suppression. Key Points • Three-dimensional LGE imaging provides high-resolution detection of myocardial scarring. • Robust Dixon water-fat separation aids in the assessment of pericardial disease. • The 2D image navigator technique enables 100% respiratory scan efficacy and permits predictable scan times.

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