Simulation and experimental validation of substrate noise reduction techniques for power switching circuits

2008 ◽  
Author(s):  
Jian Yang ◽  
Hongwei Zhao ◽  
Iven Zheng ◽  
Tommy Mao ◽  
Weiying Li ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Experimental Validation ◽  
Substrate Noise ◽  
Power Switching ◽  
Switching Circuits ◽  
Reduction Techniques

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.

scholarly journals Methods for Clinical Evaluation of Noise Reduction Techniques in Abdominopelvic CT

Radiographics ◽  
2014 ◽  
Vol 34 (4) ◽  
pp. 849-862 ◽  
Author(s):  
Eric C. Ehman ◽  
Lifeng Yu ◽  
Armando Manduca ◽  
Amy K. Hara ◽  
Maria M. Shiung ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Clinical Evaluation ◽  
Reduction Techniques ◽  
Abdominopelvic Ct

Theoretical Analysis of Binaural Multimicrophone Noise Reduction Techniques

2010 ◽  
Vol 18 (2) ◽  
pp. 342-355 ◽  
Author(s):  
B. Cornelis ◽  
S. Doclo ◽  
T. Van dan Bogaert ◽  
M. Moonen ◽  
J. Wouters
Keyword(s):  
Theoretical Analysis ◽  
Noise Reduction ◽  
Reduction Techniques

scholarly journals Noise Reduction Techniques for Close-fitting Enclosures at Structural/Acoustic Resonance

2003 ◽  
Vol 46 (1) ◽  
pp. 161-167 ◽  
Author(s):  
Yiu Yin LEE ◽  
Kwok Kit YUEN ◽  
Ka Chi LAM ◽  
Heung Fai LAM
Keyword(s):  
Noise Reduction ◽  
Acoustic Resonance ◽  
Reduction Techniques
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