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

Radiology ◽  
2016 ◽  
Vol 278 (3) ◽  
pp. 962-962 ◽  
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

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

A correlated noise reduction algorithm for dual-energy digital subtraction angiography

1989 ◽  
Vol 16 (6) ◽  
pp. 873-880 ◽  
Author(s):  
Cynthia H. McCollough ◽  
Michael S. Van Lysel ◽  
Walter W. Peppler ◽  
Charles A. Mistretta
Keyword(s):  
Noise Reduction ◽  
Digital Subtraction Angiography ◽  
Dual Energy ◽  
Correlated Noise ◽  
Reduction Algorithm ◽  
Digital Subtraction ◽  
Noise Reduction Algorithm

Hybrid image noise reduction algorithm based on genetic ant colony and PCNN

2016 ◽  
Vol 33 (11) ◽  
pp. 1373-1384 ◽  
Author(s):  
Chong Shen ◽  
Ding Wang ◽  
Shuming Tang ◽  
Huiliang Cao ◽  
Jun Liu
Keyword(s):  
Noise Reduction ◽  
Image Noise ◽  
Ant Colony ◽  
Reduction Algorithm ◽  
Image Noise Reduction ◽  
Noise Reduction Algorithm

scholarly journals Evaluation of left ventricular diastolic function of patients with coronary heart disease by ultrasound images on bilateral filtering image noise reduction algorithm combined with electrocardiogram

2021 ◽  
Vol 37 (6-WIT) ◽  
Author(s):  
Wen Li
Keyword(s):  
Coronary Heart Disease ◽  
Left Ventricular Diastolic Function ◽  
Left Ventricular ◽  
Image Noise ◽  
Ultrasound Images ◽  
Bilateral Filtering ◽  
Reduction Algorithm ◽  
Ventricular Diastolic Function ◽  
Image Noise Reduction ◽  
Noise Reduction Algorithm

Objective: To explore the evaluation of left ventricular diastolic function (LVDF) in patients with coronary heart disease (CHD) using ultrasound images (UI) combined with electrocardiogram (ECG) on bilateral filtering image noise reduction algorithm (BFINRA). Methods: A BFINRA was constructed, and 60 subjects who were investigated were divided into a control group (CG) from June 2019 to November 2019 in Taizhou People’s Hospital, a myocardial infarction group (MIG), and an angina pectoris group (APG). The patient’s LVDF was examined by two-dimensional electrophoresis (2DE) and real-time three-dimensional echocardiography (RT-3DE) combined with ECG. The results showed BFINRA could improve UI quality. Results: Clinical data indicated there were no substantial differences in age, gender, and fasting blood glucose of all subjects. 2DE examination results showed the left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), and early diastolic mitral blood flow velocity / early diastolic mitral annulus velocity (E/E’) of MIG were much higher than CG (P<0.05), while the left ventricular ejection fraction (LVEF), E / late diastolic mitral blood flow velocity (E/A) and E’ peak value were sharply decreased (P<0.05);LVESV and E/E’ of APG were increased dramatically (P<0.05), while E peak, E/A and E’ peak were decreased greatly. RT-3DE examination results indicated LVEDV and LVESV of MIG were considerably higher than CG (P<0.05), while LVEF and macrophage resistance factor (MRF) were enormously decreased (P<0.05);LVEDV and LVESV of APG were greatly increased (P<0.05). However, LVEF and MRF were not changed significantly (P>0.05). LVEDV had a remarkable difference (P<0.05), but LVESV and LVEF had no obvious differences (P>0.05). The electrocardiogram results illustrated the increase in QT dispersion (QTd) of MIG and APG was statistically significant (P<0.05) compared with CG, while the negative increase of P-wave terminal force in lead V1 (PTFV1) also had a statistical significance (P<0.05). Correlation analysis revealed that MRF and PTFV1 had positive correlation, while MRF and QTd showed a negative correlation. Conclusion: The combination of UI and ECG could better assess LVDF in CHD patients. doi: https://doi.org/10.12669/pjms.37.6-WIT.4886 How to cite this:Li W. Evaluation of left ventricular diastolic function of patients with coronary heart disease by ultrasound images on bilateral filtering image noise reduction algorithm combined with electrocardiogram. Pak J Med Sci. 2021;37(6):1699-1704.  doi: https://doi.org/10.12669/pjms.37.6-WIT.4886 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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.

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