Evaluation of the image quality and dose reduction in digital radiography with an advanced spatial noise reduction algorithm in pediatric patients

2021 ◽  
Author(s):  
Saelin Oh ◽  
Ji Hye Kim ◽  
So-Young Yoo ◽  
Tae Yeon Jeon ◽  
Yu Jin Kim
Keyword(s):  
Image Quality ◽  
Noise Reduction ◽  
Dose Reduction ◽  
Digital Radiography ◽  
Pediatric Patients ◽  
Reduction Algorithm ◽  
Spatial Noise ◽  
Noise Reduction Algorithm

scholarly journals Radiation dose reduction and improvement of image quality in digital chest radiography by new spatial noise reduction algorithm

PLoS ONE ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. e0228609 ◽  
Author(s):  
Wonje Lee ◽  
Seungho Lee ◽  
Semin Chong ◽  
Kyungmin Lee ◽  
Jongha Lee ◽  
...  
Keyword(s):  
Image Quality ◽  
Radiation Dose ◽  
Noise Reduction ◽  
Dose Reduction ◽  
Chest Radiography ◽  
Radiation Dose Reduction ◽  
Reduction Algorithm ◽  
Spatial Noise ◽  
Digital Chest ◽  
Noise Reduction Algorithm

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.

Application of an advanced noise reduction algorithm for imaging of hands in rheumatic diseases: evaluation of image quality compared to standard-dose images

2020 ◽  
Vol 40 (6) ◽  
pp. 893-899
Author(s):  
Katharina Ziegeler ◽  
Stefan Siepmann ◽  
Sandra Hermann ◽  
Alexander Beck ◽  
Alexander Lembcke ◽  
...  
Keyword(s):  
Image Quality ◽  
Noise Reduction ◽  
Rheumatic Diseases ◽  
Standard Dose ◽  
Reduction Algorithm ◽  
Noise Reduction Algorithm

Image Quality Improvement Using an Image-Based Noise Reduction Algorithm

2012 ◽  
Vol 36 (5) ◽  
pp. 610-615 ◽  
Author(s):  
Shadpour Demehri ◽  
Pascal Salazar ◽  
Michael L. Steigner ◽  
Stefan Atev ◽  
Osama Masoud ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Image Quality ◽  
Noise Reduction ◽  
Reduction Algorithm ◽  
Image Quality Improvement ◽  
Noise Reduction Algorithm

scholarly journals Adaptive Iterative Dose Reduction Algorithm in CT: Effect on Image Quality Compared with Filtered Back Projection in Body Phantoms of Different Sizes

2014 ◽  
Vol 15 (2) ◽  
pp. 195 ◽  
Author(s):  
Milim Kim ◽  
Jeong Min Lee ◽  
Jeong Hee Yoon ◽  
Hyoshin Son ◽  
Jin Woo Choi ◽  
...  
Keyword(s):  
Image Quality ◽  
Dose Reduction ◽  
Reduction Algorithm ◽  
Back Projection ◽  
Filtered Back Projection

scholarly journals Image Noise Reduction Algorithm for Digital Subtraction Angiography: Clinical Results

Radiology ◽  
2013 ◽  
Vol 269 (2) ◽  
pp. 553-560 ◽  
Author(s):  
Michael Söderman ◽  
Staffan Holmin ◽  
Tommy Andersson ◽  
Charlotta Palmgren ◽  
Draženko Babić ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Digital Subtraction Angiography ◽  
Clinical Results ◽  
Image Noise ◽  
Reduction Algorithm ◽  
Digital Subtraction ◽  
Image Noise Reduction ◽  
Noise Reduction Algorithm
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