Performance study of the temporal resolution improvement using prior image constrained compressed sensing (TRI-PICCS)

2010 ◽  
Author(s):  
Jie Tang ◽  
Jiang Hsieh ◽  
Guang-Hong Chen
Keyword(s):  
Compressed Sensing ◽  
Temporal Resolution ◽  
Performance Study ◽  
Resolution Improvement

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.

Compressed sensing cine imaging with high spatial or high temporal resolution for analysis of left ventricular function

2016 ◽  
Vol 44 (2) ◽  
pp. 366-374 ◽  
Author(s):  
Juliane Goebel ◽  
Felix Nensa ◽  
Haemi P. Schemuth ◽  
Stefan Maderwald ◽  
Marcel Gratz ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Left Ventricular Function ◽  
Ventricular Function ◽  
Temporal Resolution ◽  
Left Ventricular ◽  
Cine Imaging ◽  
High Temporal Resolution

Velocity resolution improvement for high temporal resolution ultrasonic transducer

2017 ◽  
Author(s):  
Thuy Thu Nguyen ◽  
Andreas W. Espinoza ◽  
Stefan Hyler ◽  
Espen W. Remme ◽  
Jan D'hooge ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Ultrasonic Transducer ◽  
High Temporal Resolution ◽  
Resolution Improvement
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