scholarly journals Practical approaches to the evaluation of signal-to-noise ratio performance with parallel imaging: Application with cardiac imaging and a 32-channel cardiac coil

2005 ◽  
Vol 54 (3) ◽  
pp. 748-754 ◽  
Author(s):  
Scott B. Reeder ◽  
Bernd J. Wintersperger ◽  
Olaf Dietrich ◽  
Titus Lanz ◽  
Andreas Greiser ◽  
...  
Keyword(s):  
Cardiac Imaging ◽  
Parallel Imaging ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Cardiac Coil ◽  
Imaging Application ◽  
Channel Cardiac Coil ◽  
Noise Ratio

scholarly journals The Intrinsic Signal-to-Noise Ratio in Human Cardiac Imaging at 1.5, 3, and 4 T

1997 ◽  
Vol 125 (1) ◽  
pp. 65-71 ◽  
Author(s):  
H. Wen ◽  
T.J. Denison ◽  
R.W. Singerman ◽  
R.S. Balaban
Keyword(s):  
Cardiac Imaging ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Intrinsic Signal ◽  
Noise Ratio

Parallel imaging compressed sensing for accelerated imaging and improved signal-to-noise ratio in MRI-based postimplant dosimetry of prostate brachytherapy

Brachytherapy ◽  
2018 ◽  
Vol 17 (5) ◽  
pp. 816-824 ◽  
Author(s):  
Jeremiah W. Sanders ◽  
Hao Song ◽  
Steven J. Frank ◽  
Tharakeswara Bathala ◽  
Aradhana M. Venkatesan ◽  
...  
Keyword(s):  
Compressed Sensing ◽  
Parallel Imaging ◽  
Signal To Noise Ratio ◽  
Prostate Brachytherapy ◽  
Signal To Noise ◽  
Postimplant Dosimetry ◽  
Accelerated Imaging ◽  
Noise Ratio

scholarly journals Comprehensive quantification of signal-to-noise ratio andg-factor for image-based andk-space-based parallel imaging reconstructions

2008 ◽  
Vol 60 (4) ◽  
pp. 895-907 ◽  
Author(s):  
Philip M. Robson ◽  
Aaron K. Grant ◽  
Ananth J. Madhuranthakam ◽  
Riccardo Lattanzi ◽  
Daniel K. Sodickson ◽  
...  
Keyword(s):  
Parallel Imaging ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Noise Ratio

scholarly journals 2130 Improving signal-to-noise ratio in coronary mra with short acquisition windows using parallel imaging

2008 ◽  
Vol 10 (S1) ◽  
Author(s):  
Jing Yu ◽  
Michael Schär ◽  
Evert-Jan PA Vonken ◽  
Sebastian Kelle ◽  
Khaled Z Abd-Elmoniem ◽  
...  
Keyword(s):  
Parallel Imaging ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
Coronary Mra ◽  
Noise Ratio

scholarly journals Signal-to-noise ratio and parallel imaging performance of a 16-channel receive-only brain coil array at 3.0 Tesla

2003 ◽  
Vol 51 (1) ◽  
pp. 22-26 ◽  
Author(s):  
Jacco A. de Zwart ◽  
Patrick J. Ledden ◽  
Peter van Gelderen ◽  
Jerzy Bodurka ◽  
Renxin Chu ◽  
...  
Keyword(s):  
Parallel Imaging ◽  
Signal To Noise Ratio ◽  
Signal To Noise ◽  
3.0 Tesla ◽  
Coil Array ◽  
Noise Ratio ◽  
Imaging Performance

scholarly journals Towards HCP-Style Macaque Connectomes: 24-Channel 3T Multi-Array Coil, MRI Sequences and Preprocessing

2019 ◽  
Author(s):  
Joonas A. Autio ◽  
Matthew F. Glasser ◽  
Takayuki Ose ◽  
Chad J. Donahue ◽  
Matteo Bastiani ◽  
...  
Keyword(s):  
Parallel Imaging ◽  
Signal To Noise Ratio ◽  
Image Acquisition ◽  
High Signal ◽  
List Type ◽  
Signal To Noise ◽  
Considerable Promise ◽  
Human Connectome Project ◽  
Noise Ratio

AbstractMacaque monkeys are an important model species for understanding cortical organization of primates, yet tools and methods for noninvasive image acquisition (e.g. MRI RF coils and pulse sequence protocols) and image data preprocessing have lagged behind those developed for humans. To resolve the structural and functional characteristics of the relatively thin macaque cortex, high spatial, temporal, and angular resolutions are required while maintaining high signal-to-noise ratio to ensure good image quality. To address these challenges, we developed a macaque 24-channel receive coil for 3-T MRI with parallel imaging capabilities. This coil enabled adaptation of the Human Connectome Project (HCP) image acquisition protocols to the macaque brain. We also adapted HCP preprocessing methods optimized for the macaque brain, including spatial minimal preprocessing of structural, functional MRI (fMRI), and diffusion MRI (dMRI). The coil provided high signal-to-noise ratio and high efficiency in data acquisition, allowing four- and five-fold acceleration for dMRI and fMRI, respectively. Automated parcellation of cortex, reconstruction of cortical surface, removal of artefacts and nuisance signals in fMRI, and distortion correction of dMRI performed well, and the overall quality of basic neurobiological measures was comparable with those for the HCP. The resulting HCP-style in vivo macaque MRI data show considerable promise for analyzing cortical architecture and functional and structural connectivity using advanced methods that have previously only been available for humans.Highlights➢24-channel 3T MR receive coil designed for the smaller macaque brain.➢In vivo macaque imaging protocols adapted according to guidelines from the HCP.➢Parallel imaging yields five- and four-fold acceleration in fMRI and dMRI sampling.➢HCP’s minimal preprocessing and denoising pipelines adapted for macaques.➢The multi-modal MRI data show considerable promise for HCP-style analyses.

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