Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Seong-Hyeon Kang"'
Publikováno v:
Diagnostics, Vol 14, Iss 15, p 1589 (2024)
Noise in computed tomography (CT) is inevitably generated, which lowers the accuracy of disease diagnosis. The non-local means approach, a software technique for reducing noise, is widely used in medical imaging. In this study, we propose a noise red
Externí odkaz:
https://doaj.org/article/06a903ee53e042e0958ef72d9657ebd6
Publikováno v:
Nuclear Engineering and Technology, Vol 55, Iss 5, Pp 1527-1532 (2023)
The noise reduction algorithm using the non-local means (NLM) approach is very efficient in nuclear medicine imaging. In this study, the applicability of the NLM noise reduction algorithm in single-photon emission computed tomography (SPECT) images w
Externí odkaz:
https://doaj.org/article/35f966b50222478a99c13ef4b1f43e2b
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3392 (2024)
The aim of this study was to evaluate the application feasibility of the nonlocal means (NLM) noise reduction algorithm in low-dose computed tomography (CT) images using an advanced modeled iterative reconstruction (ADMIRE) iterative reconstruction t
Externí odkaz:
https://doaj.org/article/cedd334089cf44ebb82a9cc9e97c1fae
Publikováno v:
Nuclear Engineering and Technology, Vol 54, Iss 9, Pp 3403-3414 (2022)
The purpose of this study is to model and optimize the block-matching and 3D filtering (BM3D) algorithm and to evaluate its applicability in brain single-photon emission computed tomography (SPECT) images using a fan beam collimator. For quantitative
Externí odkaz:
https://doaj.org/article/929c47753f4744eb8d2f03d0a45fc5cf
Autor:
Seong-Hyeon Kang, Youngjin Lee
Publikováno v:
Bioengineering, Vol 11, Iss 3, p 227 (2024)
This study aimed to remove motion artifacts from brain magnetic resonance (MR) images using a U-Net model. In addition, a simulation method was proposed to increase the size of the dataset required to train the U-Net model while avoiding the overfitt
Externí odkaz:
https://doaj.org/article/da056a1d78914ea0a51bb635d28939ff
Publikováno v:
Applied Sciences, Vol 13, Iss 19, p 10679 (2023)
In low-dose computed tomography (LDCT), lung segmentation effectively improves the accuracy of lung cancer diagnosis. However, excessive noise is inevitable in LDCT, which can decrease lung segmentation accuracy. To address this problem, it is necess
Externí odkaz:
https://doaj.org/article/79bd7e3735104fc48c793d321d614cd2
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:
Nuclear Engineering and Technology, Vol 53, Iss 6, Pp 1947-1954 (2021)
In the nuclear medicine imaging, quality control (QC) process using quadrant bar phantom is fundamental aspect of evaluating the spatial resolution. In addition, QC process of gamma camera is performed by daily or weekly. Recently, Monte Carlo simula
Externí odkaz:
https://doaj.org/article/15132ff4c6b74e3dab24a723c0d4cded
Publikováno v:
Nuclear Engineering and Technology, Vol 52, Iss 10, Pp 2328-2333 (2020)
The filter technique was applied to noise images, as noise is the significant factor that cause poor image quality due to lower photon counting. The purpose of this study is to confirm that image quality can be improved using the median modified Wien
Externí odkaz:
https://doaj.org/article/0add6b1f58c9466a86cab02d4e9100cd
Publikováno v:
Diagnostics, Vol 11, Iss 2, p 319 (2021)
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
Externí odkaz:
https://doaj.org/article/55cbb3be2e094323b3aa2af66214a2b9