Quantitative Evaluation of Intensity Inhomogeneity Correction Methods for Structural MR Brain Images
نویسندگان
چکیده
منابع مشابه
Review of Intensity Inhomogeneity Correction Methods for Brain Mri Images
Intensity inhomogeneity is a smooth intensity change inside originally homogeneous regions. The intensity inhomogeneity degrades performance of image processing algorithms. Intensity inhomogeneity correction methods are important image processing algorithms which are used to reduce the inhomogeneity. Brain image intensity inhomogeneity correction is one of the most important parts of clinical d...
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Intensity inhomogeneity or intensity non-uniformity (INU) is an undesired phenomenon that represents the main obstacle for MR image segmentation and registration methods. Various techniques have been proposed to eliminate or compensate the INU, most of which are embedded into clustering algorithms. This paper proposes a pre-filtering technique for Gaussian and impulse noise elimination, and a s...
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Intensity non-uniformity (INU) in magnetic resonance (MR) imaging is a major issue when conducting analyses of brain structural properties. An inaccurate INU correction may result in qualitative and quantitative misinterpretations. Several INU correction methods exist, whose performance largely depend on the specific parameter settings that need to be chosen by the user. Here we addressed the q...
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ژورنال
عنوان ژورنال: Neuroinformatics
سال: 2015
ISSN: 1539-2791,1559-0089
DOI: 10.1007/s12021-015-9277-2