TH-B-204C-01: Parallel Imaging: Technology Clinical Applications and Image Quality Issues

2010 ◽  
Vol 37 (6Part2) ◽  
pp. 3449-3449
Author(s):  
N Yanasak
Keyword(s):  
Image Quality ◽  
Parallel Imaging ◽  
Clinical Applications ◽  
Imaging Technology ◽  
Quality Issues

scholarly journals Feasibility of Total Variation Noise Reduction Algorithm According to Various MR-Based PET Images in a Simultaneous PET/MR System: A Phantom Study

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 319
Author(s):  
Chan-Rok Park ◽  
Seong-Hyeon Kang ◽  
Young-Jin Lee
Keyword(s):  
Image Quality ◽  
Noise Reduction ◽  
Total Variation ◽  
Parallel Imaging ◽  
Pulse Sequence ◽  
Reduction Algorithm ◽  
Median Filters ◽  
Reduction Techniques ◽  
Imaging Results ◽  
Noise Reduction Algorithm

Recently, the total variation (TV) algorithm has been used for noise reduction distribution in degraded nuclear medicine images. To acquire positron emission tomography (PET) to correct the attenuation region in the PET/magnetic resonance (MR) system, the MR Dixon pulse sequence, which is based on controlled aliasing in parallel imaging, results from higher acceleration (CAIPI; MR-ACDixon-CAIPI) and generalized autocalibrating partially parallel acquisition (GRAPPA; MR-ACDixon-GRAPPA) algorithms are used. Therefore, this study aimed to evaluate the image performance of the TV noise reduction algorithm for PET/MR images using the Jaszczak phantom by injecting 18F radioisotopes with PET/MR, which is called mMR (Siemens, Germany), compared with conventional noise-reduction techniques such as Wiener and median filters. The contrast-to-noise (CNR) and coefficient of variation (COV) were used for quantitative analysis. Based on the results, PET images with the TV algorithm were improved by approximately 7.6% for CNR and decreased by approximately 20.0% for COV compared with conventional noise-reduction techniques. In particular, the image quality for the MR-ACDixon-CAIPI PET image was better than that of the MR-ACDixon-GRAPPA PET image. In conclusion, the TV noise-reduction algorithm is efficient for improving the PET image quality in PET/MR systems.

Image quality issues for an enhanced vision head up display

1995 ◽  
Vol 10 (3) ◽  
pp. 40-44 ◽  
Author(s):  
J. Todd ◽  
L. Summers ◽  
P. Hammontre
Keyword(s):  
Image Quality ◽  
Quality Issues

MRI of the ankle joint in healthy non-athletes and in marathon runners: image quality issues at 7.0 T compared to 1.5 T

2012 ◽  
Vol 42 (2) ◽  
pp. 261-267 ◽  
Author(s):  
J. M. Theysohn ◽  
O. Kraff ◽  
S. Maderwald ◽  
P. C. Kokulinsky ◽  
M. E. Ladd ◽  
...  
Keyword(s):  
Image Quality ◽  
Ankle Joint ◽  
Marathon Runners ◽  
Quality Issues

Clinical applications of personalising the neural components of visual image quality metrics for individual eyes

2022 ◽  
Author(s):  
Gareth D Hastings ◽  
Raymond A Applegate ◽  
Alexander W Schill ◽  
Chuan Hu ◽  
Daniel R Coates ◽  
...  
Keyword(s):  
Image Quality ◽  
Visual Image ◽  
Clinical Applications ◽  
Quality Metrics ◽  
Image Quality Metrics

Image Quality Issues

EEG - fMRI ◽  
2009 ◽  
pp. 173-199
Author(s):  
David Carmichael
Keyword(s):  
Image Quality ◽  
Quality Issues

Revolutionizing medical diagnosis with SPECT imaging: Clinical applications of a nuclear imaging technology

2022 ◽  
pp. 85-104
Author(s):  
Mena Asha Krishnan ◽  
Amulya Cherukumudi ◽  
Sibi Oommen ◽  
Sumeet Suresh Malapure ◽  
Venkatesh Chelvam
Keyword(s):  
Medical Diagnosis ◽  
Nuclear Imaging ◽  
Clinical Applications ◽  
Spect Imaging ◽  
Imaging Technology

scholarly journals Parallel Imaging of the Cervical Spine at 3T: Optimized Trade-Off between Speed and Image Quality

2012 ◽  
Vol 33 (10) ◽  
pp. 1867-1874 ◽  
Author(s):  
J. Fruehwald-Pallamar ◽  
P. Szomolanyi ◽  
N. Fakhrai ◽  
A. Lunzer ◽  
M. Weber ◽  
...  
Keyword(s):  
Cervical Spine ◽  
Image Quality ◽  
Parallel Imaging ◽  
Trade Off
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