Results 261 to 270 of about 27,825 (297)

A Review of Methods for Correction of Intensity Inhomogeneity in MRI

IEEE Transactions on Medical Imaging, 2007
Medical image acquisition devices provide a vast amount of anatomical and functional information, which facilitate and improve diagnosis and patient treatment, especially when supported by modern quantitative image analysis methods. However, modality specific image artifacts, such as the phenomena of intensity inhomogeneity in magnetic resonance images
Boštjan Likar
exaly   +3 more sources

A Level Set Approach to Image Segmentation With Intensity Inhomogeneity

IEEE Transactions on Cybernetics, 2016
It is often a difficult task to accurately segment images with intensity inhomogeneity, because most of representative algorithms are region-based that depend on intensity homogeneity of the interested object. In this paper, we present a novel level set method for image segmentation in the presence of intensity inhomogeneity.
Kaihua Zhang   +2 more
exaly   +3 more sources

CDM: A coupled deformable model for image segmentation with speckle noise and severe intensity inhomogeneity

open access: yesChaos, 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
exaly   +2 more sources

Retrospective correction of intensity inhomogeneities in MRI

IEEE Transactions on Medical Imaging, 1995
Medical imaging data sets are often corrupted by multiplicative inhomogeneities, often referred to as nonuniformities or intensity variations, that hamper the use of quantitative analyses. The authors describe an automatic technique that not only improves the worst situations, such as those encountered with magnetic resonance imaging (MRI) surface ...
Charles R. Meyer   +2 more
openaire   +2 more sources

Segmentation of MR images with intensity inhomogeneities

Image and Vision Computing, 1998
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be multiplicative low-frequency variations of intensities that are due to the anomalies of the magnetic fields of the scanners.
Rajapakse, J., Kruggel, F.
openaire   +2 more sources

Parametric estimate of intensity inhomogeneities applied to MRI

IEEE Transactions on Medical Imaging, 2000
This paper presents a new approach to the correction of intensity inhomogeneities in magnetic resonance imaging (MRI) that significantly improves intensity-based tissue segmentation. The distortion of the image brightness values by a low-frequency bias field impedes visual inspection and segmentation.
Martin Styner   +3 more
openaire   +2 more sources

Image Segmentation for Intensity Inhomogeneity in Presence of High Noise

IEEE Transactions on Image Processing, 2018
Automated segmentation of fine objects details in a given image is becoming of crucial interest in different imaging fields. In this paper, we propose a new variational level-set model for both global and interactive\selective segmentation tasks, which can deal with intensity inhomogeneity and the presence of noise.
Haider Ali 0004   +2 more
openaire   +2 more sources

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