Robust Intensity Standardization in Brain Magnetic Resonance Images
نویسندگان
چکیده
منابع مشابه
Intensity inhomogeneity correction of magnetic resonance images using patches
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. This artifact can significantly deteriorate the performance of any kind of im...
متن کاملLongitudinal intensity normalization of magnetic resonance images using patches
This paper presents a patch based method to normalize temporal intensities from longitudinal brain magnetic resonance (MR) images. Longitudinal intensity normalization is relevant for subsequent processing, such as segmentation, so that rates of change of tissue volumes, cortical thickness, or shapes of brain structures becomes stable and smooth over time. Instead of using intensities at each v...
متن کاملEfficient and robust denoising of magnetic resonance brain images based on wavelet based nonlocal means algorithm
-----------------------------------------------------------ABSTRACT---------------------------------------------------------Image denoising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). In the proposed method noisy image is first decomposed into subband by wavelet transform and the nonlocal means filter is applied to each subband. This prop...
متن کاملFast and robust multi-atlas segmentation of brain magnetic resonance images
We introduce an optimised pipeline for multi-atlas brain MRI segmentation. Both accuracy and speed of segmentation are considered. We study different similarity measures used in non-rigid registration. We show that intensity differences for intensity normalised images can be used instead of standard normalised mutual information in registration without compromising the accuracy but leading to t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Digital Imaging
سال: 2015
ISSN: 0897-1889,1618-727X
DOI: 10.1007/s10278-015-9782-8