Results 1 to 10 of about 26,290 (260)
Stabilised bias field: segmentation with intensity inhomogeneity [PDF]
Journal of Algorithms & Computational Technology, 2016 Automatic segmentation in the variational framework is a challenging task within the field of imaging sciences. Achieving robustness is a major problem, particularly for images with high levels of intensity inhomogeneity. The two-phase piecewise-constant
Jack Spencer, Ke Chen
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A Review on MR Image Intensity Inhomogeneity Correction [PDF]
International Journal of Biomedical Imaging, 2006 Intensity inhomogeneity (IIH) is often encountered in MR imaging, and a number of techniques have been devised to correct this artifact. This paper attempts to review some of the recent developments in the mathematical modeling of IIH field.
Zujun Hou
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Context Dependent Fuzzy Associated Statistical Model for Intensity Inhomogeneity Correction From Magnetic Resonance Images [PDF]
IEEE Journal of Translational Engineering in Health and Medicine, 2019 In this paper, a novel context-dependent fuzzy set associated statistical model-based intensity inhomogeneity correction technique for magnetic resonance image (MRI) is proposed.
Badri Narayan Subudhi +3 more
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Automated Estimation of Acute Infarct Volume from Noncontrast Head CT Using Image Intensity Inhomogeneity Correction [PDF]
International Journal of Biomedical Imaging, 2019 Identification of early ischemic changes (EIC) on noncontrast head CT scans performed within the first few hours of stroke onset may have important implications for subsequent treatment, though early stroke is poorly delimited on these studies.
Keith A. Cauley +2 more
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Intensity inhomogeneity correction of multispectral MR images
NeuroImage, 2006 Intensity inhomogeneity in MR images is an undesired phenomenon, which often hampers different steps of quantitative image analysis such as segmentation or registration. In this paper, we propose a novel fully automated method for retrospective correction of intensity inhomogeneity.
Uros Vovk, Franjo Pernus, Bostjan Likar
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Intensity Inhomogeneity Correction of Magnetic Resonance Images using Patches. [PDF]
Proc SPIE Int Soc Opt Eng, 2011 This paper presents a patch-based non-parametric approach to the correction of intensity inhomogeneity from magnetic resonance (MR) images of the human brain. During image acquisition, the inhomogeneity present in the radio-frequency coil, is usually manifested on the reconstructed MR image as a smooth shading effect.
Roy S, Carass A, Bazin PL, Prince JL.
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Intensity inhomogeneity correction of SD-OCT data using macular flatspace [PDF]
Medical Image Analysis, 2018 Bruno Jedynak +2 more
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An adaptive level set method based on joint estimation dealing with intensity inhomogeneity
IET Image Processing, 2021 Automatic object segmentation has been a challenging task due to intensity inhomogeneity. The traditional way is to eliminate the intensity inhomogeneity, which causes the object to lose useful intensity information. The authors propose an adaptive level
Jiang Zhu +4 more
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Retrospective correction of MR intensity inhomogeneity by information minimization [PDF]
IEEE Transactions on Medical Imaging, 2000 In this paper, the problem of retrospective correction of intensity inhomogeneity in magnetic resonance (MR) images is addressed. A novel model-based correction method is proposed, based on the assumption that an image corrupted by intensity inhomogeneity contains more information than the corresponding uncorrupted image.
Likar, B., Viergever, M.A., Pernus, F.
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IEEE Access, 2020 Due to their simplicity and flexibility, the unsupervised statistical models such as Gaussian mixture model (GMM) are powerful tools to address the brain magnetic resonance (MR) images segmentation problems.
Yunjie Chen +5 more
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