Results 1 to 10 of about 1,765 (206)
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
Chen, K +3 more
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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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Chaos, Solitons and Fractals, 2023 Speckle noise and intensity inhomogeneity are always challenging issues in the area of image segmentation, especially when both difficulties appear simultaneously.
Ankit Kumar, Sudeb Majee, Subit K Jain
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Intensity inhomogeneity correction of SD-OCT data using macular flatspace
Medical Image Analysis, 2018 Images of the retina acquired using optical coherence tomography (OCT) often suffer from intensity inhomogeneity problems that degrade both the quality of the images and the performance of automated algorithms utilized to measure structural changes. This
Andrew Lang +2 more
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Correction of intensity inhomogeneity in MR images of vascular disease
2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, 2005 We are involved in a comprehensive program to characterize atherosclerotic disease using multiple MR images having different contrast mechanisms (T1W, T2W, PDW, magnetization transfer, etc.) of human carotid and animal model arteries.
Salvado, O. +8 more
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Retinal fundus image constrast normalization using mixture of gaussians [PDF]
, 2008 We present a fast and robust method to correct contrast variation in retinal fundus imagery. The technique uses a mixture of Gaussians to model the bias of the intensity variation. Typically a three or four component mixture is sufficient to characterize
Bhalerao, Abhir +5 more
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, 2022 Intensity inhomogeneity and high noise are two common but challenging issues in image segmentation and is particularly pronounced when the two issues simultaneously appear in one image.
Cai, Qing +4 more
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A new method for MR grayscale inhomogeneity correction [PDF]
, 2010 Intensity inhomogeneity is a smooth intensity change inside originally homogeneous regions. Filter-based inhomogeneity correction methods have been commonly used in literatures.
Mashohor, Syamsiah +5 more
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, 2017 The automatic detection of brain tissues such as White Matter (WM), Gray Matter (GM), and Cerebrospinal Fluid (CSF) from the MR images of the brain using segmentation is of immense interest for the early detection and diagnosing various brain-related ...
Kande Giri Babu +2 more
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, 2008 Quantitative analysis of cardiac magnetic resonance (MR) images is important in bringing objectivity in diagnosis of myocardial abnormalities. Prior to quantitative analysis, it is necessary to correct signal intensity inhomogeneity due to the non ...
Anthony H. Aletras +5 more
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