scholarly journals Image quality and acquisition time assessments for phase oversampling in compressed sensing sensitivity encoding: Comparison with conventional SENSE

2021 ◽  
Author(s):  
Ji Sung Jang ◽  
Ho Beom Lee ◽  
Chong Hyun Suh ◽  
Min Hee Lee
Keyword(s):  
Image Quality ◽  
Compressed Sensing ◽  
Acquisition Time ◽  
Sensitivity Encoding ◽  
Sensing Sensitivity

scholarly journals Compressed Sensing–Sensitivity Encoding (CS-SENSE) Accelerated Brain Imaging: Reduced Scan Time without Reduced Image Quality

2018 ◽  
Vol 40 (1) ◽  
pp. 92-98 ◽  
Author(s):  
J.E. Vranic ◽  
N.M. Cross ◽  
Y. Wang ◽  
D.S. Hippe ◽  
E. de Weerdt ◽  
...  
Keyword(s):  
Image Quality ◽  
Compressed Sensing ◽  
Brain Imaging ◽  
Sensitivity Encoding ◽  
Scan Time ◽  
Sensing Sensitivity

scholarly journals Accelerated 3D T2-Weighted SPACE Using Compressed Sensing for Paediatric Brain Imaging

2021 ◽  
Author(s):  
Hyun Gi Kim ◽  
Se Won Oh ◽  
Dongyeob Han ◽  
Jee Young Kim ◽  
Gye Yeon Lim
Keyword(s):  
White Matter ◽  
Image Quality ◽  
Compressed Sensing ◽  
Brain Imaging ◽  
Quality Analysis ◽  
Acquisition Time ◽  
Image Quality Analysis ◽  
Space Group ◽  
Quantitative Image ◽  
Noise Ratio

Abstract The purpose of this study was to compare the image quality of the single-slab, 3D T2-weighted turbo-spin-eco sequence with high sampling efficiency (SPACE) with accelerated SPACE using compressed sensing (CS-SPACE) in paediatric brain imaging. A total of 116 brain MRI (53 in SPACE group and 63 in CS-SPACE group) were obtained from children aged 16 years old or younger. Quantitative image quality was evaluated using the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). The sequences were qualitatively evaluated for overall image quality, SNR, general artifact, cerebrospinal fluid (CSF)-related artifact and grey-white matter differentiation. The two sequences were compared for the total and for two age groups (< 24 months vs. ≥ 24 months). CS application in 3D T2-weighted imaging resulted in 8.5% reduction in scanning time. Quantitative image quality analysis showed higher SNR (Median [Interquartile range]; 29 [25] vs. 23 [14], P = .005) and CNR (0.231 [0.121] vs. 0.165 [0.120], P = .027) with CS-SPACE compared to SPACE. Qualitative image quality analysis showed better image quality with CS-SPACE for general artifact (P = .024) and CSF-related artifact (P < .001). CSF-related artifacts reduction was more prominent in the older age group (≥ 24 months). Overall image quality (P = .162), SNR (P = .726), and grey-white matter differentiation (P = .397) were comparable between SPACE and CS-SPACE. In conclusion, compressed sensing applied 3D T2-weighted images showed comparable or superior image quality compared to conventional images with reduced acquisition time for paediatric brain.

Accelerating Brain 3D T1-Weighted Turbo Field Echo MRI Using Compressed Sensing-Sensitivity Encoding (CS-SENSE)

2020 ◽  
Vol 131 ◽  
pp. 109255
Author(s):  
Yunyun Duan ◽  
Jie Zhang ◽  
Zhizheng Zhuo ◽  
Jinli Ding ◽  
Rongkai Ju ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Sensitivity Encoding ◽  
Turbo Field Echo ◽  
Sensing Sensitivity

scholarly journals Fast 3D Isotropic Proton Density-Weighted Fat-Saturated MRI of the Knee at 1.5 T with Compressed Sensing: Comparison with Conventional Multiplanar 2D Sequences

2021 ◽  
Author(s):  
Christoph H.-J. Endler ◽  
Anton Faron ◽  
Alexander Isaak ◽  
Christoph Katemann ◽  
Narine Mesropyan ◽  
...  
Keyword(s):  
Image Quality ◽  
Compressed Sensing ◽  
Cruciate Ligament ◽  
Meniscal Tear ◽  
Three Dimensional ◽  
Acquisition Time ◽  
Proton Density ◽  
Image Sharpness ◽  
Multiplanar Reformation ◽  
Fat Saturation

Purpose Compressed sensing (CS) is a method to accelerate MRI acquisition by acquiring less data through undersampling of k-space. In this prospective study we aimed to evaluate whether a three-dimensional (3D) isotropic proton density-weighted fat saturated sequence (PDwFS) with CS can replace conventional multidirectional two-dimensional (2D) sequences at 1.5 Tesla. Materials and Methods 20 patients (45.2 ± 20.2 years; 10 women) with suspected internal knee damage received a 3D PDwFS with CS acceleration factor 8 (acquisition time: 4:11 min) in addition to standard three-plane 2D PDwFS sequences (acquisition time: 4:05 min + 3:03 min + 4:46 min = 11:54 min) at 1.5 Tesla. Scores for homogeneity of fat saturation, image sharpness, and artifacts were rated by two board-certified radiologists on the basis of 5-point Likert scales. Based on these ratings, an overall image quality score was generated. Additionally, quantitative contrast ratios for the menisci (MEN), the anterior (ACL) and the posterior cruciate ligament (PCL) in comparison with the popliteus muscle were calculated. Results The overall image quality was rated superior in 3D PDwFS compared to 2D PDwFS sequences (14.45 ± 0.83 vs. 12.85 ± 0.99; p < 0.01), particularly due to fewer artifacts (4.65 ± 0.67 vs. 3.65 ± 0.49; p < 0.01) and a more homogeneous fat saturation (4.95 ± 0.22 vs. 4.55 ± 0.51; p < 0.01). Scores for image sharpness were comparable (4.80 ± 0.41 vs. 4.65 ± 0.49; p = 0.30). Quantitative contrast ratios for all measured structures were superior in 3D PDwFS (MEN: p < 0.05; ACL: p = 0.06; PCL: p = 0.33). In one case a meniscal tear was only diagnosed using multiplanar reformation of 3D PDwFS, but it would have been missed on standard multiplanar 2D sequences. Conclusion An isotropic fat-saturated 3D PD sequence with CS enables fast and high-quality 3D imaging of the knee joint at 1.5 T and may replace conventional multiplanar 2D sequences. Besides faster image acquisition, the 3D sequence provides advantages in small structure imaging by multiplanar reformation. Key Points:  Citation Format

scholarly journals Compressed sensing-based super-resolution ultrasound imaging for faster acquisition and high quality images

2020 ◽  
Author(s):  
Jihun Kim ◽  
Qingfei Wang ◽  
Siyuan Zhang ◽  
Sangpil Yoon
Keyword(s):  
Image Quality ◽  
Compressed Sensing ◽  
Ultrasound Imaging ◽  
Imaging Technique ◽  
Super Resolution ◽  
Tumor Model ◽  
Acquisition Time ◽  
Mouse Tumor ◽  
Conventional Ultrasound

AbstractSuper-resolution ultrasound (SRUS) imaging technique has overcome the diffraction limit of conventional ultrasound imaging, resulting in an improved spatial resolution while preserving imaging depth. Typical SRUS images are reconstructed by localizing ultrasound microbubbles (MBs) injected in a vessel using normalized 2-dimensional cross-correlation (2DCC) between MBs signals and the point spread function of the system. However, current techniques require isolated MBs in a confined area due to inaccurate localization of densely populated MBs. To overcome this limitation, we developed the ℓ1-homotopy based compressed sensing (L1H-CS) based SRUS imaging technique which localizes densely populated MBs to visualize microvasculature in vivo. To evaluate the performance of L1H-CS, we compared the performance of 2DCC, interior-point method based compressed sensing (CVX-CS), and L1H-CS algorithms. Localization efficiency was compared using axially and laterally aligned point targets (PTs) with known distances and randomly distributed PTs generated by simulation. We developed post-processing techniques including clutter reduction, noise equalization, motion compensation, and spatiotemporal noise filtering for in vivo imaging. We then validated the capabilities of L1H-CS based SRUS imaging technique with high-density MBs in a mouse tumor model, kidney, and zebrafish dorsal trunk, and brain. Compared to 2DCC, and CVX-CS algorithm, L1H-CS algorithm, considerable improvement in SRUS image quality and data acquisition time was achieved. These results demonstrate that the L1H-CS based SRUS imaging technique has the potential to examine the microvasculature with reduced acquisition and reconstruction time of SRUS image with enhanced image quality, which may be necessary to translate it into the clinics.

scholarly journals Optimized Breath-Hold Compressed-Sensing 3D MR Cholangiopancreatography at 3T: Image Quality Analysis and Clinical Feasibility Assessment

Diagnostics ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 376
Author(s):  
Ji Soo Song ◽  
Seung Hun Kim ◽  
Bernd Kuehn ◽  
Mun Young Paek
Keyword(s):  
Image Quality ◽  
Compressed Sensing ◽  
Signal To Noise Ratio ◽  
Contrast Ratio ◽  
Magnetic Resonance Cholangiopancreatography ◽  
Quality Analysis ◽  
Acquisition Time ◽  
Breath Hold ◽  
Background Suppression ◽  
Noise Ratio

Magnetic resonance cholangiopancreatography (MRCP) has been widely used in clinical practice, and recently developed compressed-sensing accelerated MRCP (CS-MRCP) has shown great potential in shortening the acquisition time. The purpose of this prospective study was to evaluate the clinical feasibility and image quality of optimized breath-hold CS-MRCP (BH-CS-MRCP) and conventional navigator-triggered MRCP. Data from 124 consecutive patients with suspected pancreaticobiliary diseases were analyzed by two radiologists using a five-point Likert-type scale. Communication between a cyst and the pancreatic duct (PD) was analyzed. Signal-to-noise ratio (SNR) of the common bile duct (CBD), contrast ratio between the CBD and periductal tissue, and contrast-to-noise ratio (CNR) of the CBD and liver were measured. Optimized BH-CS-MRCP showed significantly fewer artifacts with better background suppression and overall image quality. Optimized BH-CS-MRCP demonstrated communication between a cyst and the PD better than conventional MRCP (96.7% vs. 76.7%, p = 0.048). SNR, contrast ratio, and CNR were significantly higher with optimized BH-CS-MRCP (p < 0.001). Optimized BH-CS-MRCP showed comparable or even better image quality than conventional MRCP, with improved visualization of communication between a cyst and the PD.

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