Zobrazeno 1 - 10
of 520
pro vyhledávání: '"Rician noise"'
Autor:
Jesline Jeme V, Albert Jerome S
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Vol 12, Iss 1 (2024)
Anatomical structure preservation throughout the denoising process is a challenge in the domain of medical imaging. The Rician noise introduced through the acquisition procedure by the Magnetic Resonance Imaging (MRI) scanner distorts the images. In
Externí odkaz:
https://doaj.org/article/67d85569650647718d08a658ab907f25
Autor:
Tran Dang Khoa Phan
Publikováno v:
PeerJ Computer Science, Vol 9, p e1579 (2023)
Rician noise removal is an important problem in magnetic resonance (MR) imaging. Among the existing approaches, the variational method is an essential mathematical technique for Rician noise reduction. The previous variational methods mainly employ t
Externí odkaz:
https://doaj.org/article/483ae4ab6b784ae392c79b563ef3b6cd
Publikováno v:
Axioms, Vol 12, Iss 12, p 1117 (2023)
This paper investigates the distribution characteristics of Fourier, discrete cosine, and discrete sine transform coefficients in T1 MRI images. This paper reveals their adherence to Benford’s law, characterized by a logarithmic distribution of fir
Externí odkaz:
https://doaj.org/article/413889e0c6d24fb4920850c3526597f0
Akademický článek
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Autor:
Romoke Grace Akindele, Ming Yu, Paul Shekonya Kanda, Eunice Oluwabunmi Owoola, Ifeoluwapo Aribilola
Publikováno v:
Sensors, Vol 23, Iss 18, p 7780 (2023)
The recovery of semantics from corrupted images is a significant challenge in image processing. Noise can obscure features, interfere with accurate analysis, and bias results. To address this issue, the Regularized Neighborhood Pixel Similarity Wavel
Externí odkaz:
https://doaj.org/article/9ed3b69ead7543c9b6b5d7a0f019a866
Publikováno v:
Visual Informatics, Vol 5, Iss 4, Pp 67-80 (2021)
Progression of Alzheimer’s disease (AD) bears close proximity with the tissue loss in the medial temporal lobe (MTL) and enlargement of lateral ventricle (LV). The early stage of AD, mild cognitive impairment (MCI), can be traced by diagnosing brai
Externí odkaz:
https://doaj.org/article/7c18c6421ff04e8f9d1af02664f6183f
Autor:
Minji Park, Seong-Hyeon Kang, Kyuseok Kim, Youngjin Lee, for the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8803 (2023)
In this study, we optimized the σ-values of a block matching and 3D filtering (BM3D) algorithm to reduce noise in magnetic resonance images. Brain T2-weighted images (T2WIs) were obtained using the BrainWeb simulation program and Rician noise with i
Externí odkaz:
https://doaj.org/article/0cf70ab99c31438a84b054fe100811da
Publikováno v:
BMC Medical Imaging, Vol 21, Iss 1, Pp 1-12 (2021)
Abstract Background To investigate the effect of using a Rician nonlocal means (NLM) filter on quantification of diffusion tensor (DT)- and diffusion kurtosis (DK)-derived metrics in various anatomical regions of the human brain and the spinal cord,
Externí odkaz:
https://doaj.org/article/97e8f06974bd45b89cfdfe9447ae7560
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background The Rician noise formed in magnetic resonance (MR) imaging greatly reduced the accuracy and reliability of subsequent analysis, and most of the existing denoising methods are suitable for Gaussian noise rather than Rician noise. A
Externí odkaz:
https://doaj.org/article/a52eef91c1f8461a82f67dedf7e93787
Publikováno v:
IEEE Access, Vol 7, Pp 45858-45865 (2019)
Image priors have been successfully introduced to solve ill-posed problems, such as image denoising. In this paper, we propose a new denoising model for magnetic resonance images (MRIs) which employs the image low-rank and sparse gradient priors. Fir
Externí odkaz:
https://doaj.org/article/d4c2b7d70fd349b6aad44f06f545a554