Denoising of MR images using Kolmogorov-Smirnov distance in a Non Local framework

Baselice, Fabio; Ferraioli, Giampaolo; Pascazio, Vito; Sorriso, Antonietta

doi:10.1016/j.mri.2018.11.022

Cited by 29 publications

(10 citation statements)

References 30 publications

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“…To investigate the correlation of age, gender and disease severity with antibody dynamic pattern, the test results were classified and the data were fitted by the software R. Further, the Kolmogorov-Smirnov test (Manoel et al 1996), which is a nonparametric test of the equality of continuous, one-dimensional probability distribution, is employed to quantify the level similarity of the antibody dynamics among the comparison groups, including both antibody level (distance) and distribution pattern (P-value) during convalescence. The smaller K-S distance derived from Cumulative Distribution Functions among subgroups is equal to the measurement of their similarity of titer (Baselice et al 2019). The test results indicate the distribution pattern is positively correlated to the distance value.…”

Section: Antibody Titermentioning

confidence: 90%

Sustainability of SARS-CoV-2 Induced Humoral Immune Responses in COVID-19 Patients from Hospitalization to Convalescence Over Six Months

et al. 2021

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Understanding the persistence of antibody in convalescent COVID-19 patients may help to answer the current major concerns such as the risk of reinfection, the protection period of vaccination and the possibility of building an active herd immunity. This retrospective cohort study included 172 COVID-19 patients who were hospitalized in Wuhan. A total of 404 serum samples were obtained over six months from hospitalization to convalescence. Antibodies in the specimens were quantitatively analyzed by the capture chemiluminescence immunoassays (CLIA). All patients were positive for the anti-SARS-CoV-2 IgM/IgG at the onset of COVID-19 symptoms, and the IgG antibody persisted in all the patients during the convalescence. However, only approximately 25% of patients can detect the IgM antibodies, IgM against N protein (N-IgM) and receptor binding domain of S protein (RBD-IgM) at the 27th week. The titers of IgM, N-IgM and RBD-IgM reduced to 16.7%, 17.6% and 15.2% of their peak values respectively. In contrast, the titers of IgG, N-IgG and RBD-IgG peaked at 4-5th week and reduced to 85.9%, 62.6% and 87.2% of their peak values respectively at the end of observation. Dynamic behavior of antibodies and their correlation in age, gender and severity groups were investigated. In general, the COVID-19 antibody was sustained at high levels for over six months in most of the convalescent patients. Only a few patients with antibody reducing to an undetectable level which needs further attention. The humoral immune response against SARS-CoV-2 infection in COVID-19 patients exhibits a typical dynamic of acquired immunity. Yang Zheng and Qing Zhang contributed equally to this work.

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Section: Antibody Titermentioning

confidence: 90%

Sustainability of SARS-CoV-2 Induced Humoral Immune Responses in COVID-19 Patients from Hospitalization to Convalescence Over Six Months

et al. 2021

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“…Fabio. B et al, in [17] introduced a novel sparse tensor model based on the weighted regularization from MRI with efficient computation. The method uses brain MR images for the study with 512 X 512 with 20 slices.…”

Section: Related Workmentioning

confidence: 99%

Security Assured CNN-Based Model for Reconstruction of Medical Images on the Internet of Healthcare Things

Singla

Verma

et al. 2020

IEEE Access

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Medical Imaging is the most significant technique that constitutes information needed to diagnose and make the right decisions for treatment. These images suffer from inadequate contrast and noise that occurs during image acquisition. Thus, denoising and contrast enhancement is crucial in increasing the visual quality of the images for obtaining quantitative measures. In this research, an innovative and improvised denoising technique is implemented that applies a sparse aware with convolution neural network (SA_CNN) for investigating various medical modalities. To evaluate and validate, the convolution neural network utilizes patch creation and dictionary methods for obtaining information. The proposed framework is predominant to other current approaches by employing image assessment quantitative measures like peak signal to noise ratio (PSNR), structural similarity index (SSIM), and mean squared error (MSE). The study also optimizes the computational time to achieve increased efficiency and better visual quality of the image. Furthermore, the widespread use of the Internet of Healthcare Things (IoHT) helps to provide security with vault and challenge schemes between IoT devices and servers.

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“…This proposed method preserves the structural relations between the magnetic resonance image series. A filtering technique based on distance algorithm [19] is proposed with a cumulative distribution function of different pixels and compared the similarities with different acquisition parameters. Similar pixel values are fused to produce the resultant output then the method is compared with local and non-local methods, but the computational time is more compared to other techniques.…”

Section: Literature Reviewmentioning

confidence: 99%

Critical Findings on Restoration of Magnetic Resonance Images

More*,

Singla

2020

IJITEE

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The explosion of numerous medical images lead to the development of many different techniques to provide an accurate result. Although the signal to noise ratio (SNR), resolution and speed of magnetic resonance imaging technology have increased, still magnetic resonance images are affected by noise, contrast, and artifacts. To provide the image content or features relevant to diagnosis, contrast enhancement and reduction of noise with preservation of actual content should be carried out. The purpose of this paper is to present a critical review of different types of noises with an overview of diverse techniques for denoising and contrast enhancement for magnetic resonance images and discuss the advantages and limitations of these techniques with broad ideology

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Denoising of MR images using Kolmogorov-Smirnov distance in a Non Local framework

Cited by 29 publications

References 30 publications

Sustainability of SARS-CoV-2 Induced Humoral Immune Responses in COVID-19 Patients from Hospitalization to Convalescence Over Six Months

Sustainability of SARS-CoV-2 Induced Humoral Immune Responses in COVID-19 Patients from Hospitalization to Convalescence Over Six Months

Security Assured CNN-Based Model for Reconstruction of Medical Images on the Internet of Healthcare Things

Critical Findings on Restoration of Magnetic Resonance Images

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