[HTML][HTML] Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review
J Tohka - World journal of radiology, 2014 - ncbi.nlm.nih.gov
Quantitative analysis of magnetic resonance (MR) brain images are facilitated by the
development of automated segmentation algorithms. A single image voxel may contain of …
development of automated segmentation algorithms. A single image voxel may contain of …
Patch-based segmentation using expert priors: Application to hippocampus and ventricle segmentation
Quantitative magnetic resonance analysis often requires accurate, robust, and reliable
automatic extraction of anatomical structures. Recently, template-warping methods …
automatic extraction of anatomical structures. Recently, template-warping methods …
Brain tumour classification using noble deep learning approach with parametric optimization through metaheuristics approaches
Deep learning has surged in popularity in recent years, notably in the domains of medical
image processing, medical image analysis, and bioinformatics. In this study, we offer a …
image processing, medical image analysis, and bioinformatics. In this study, we offer a …
Fractal-based brain tumor detection in multimodal MRI
In this work, we investigate the effectiveness of fusing two novel texture features along with
intensity in multimodal magnetic resonance (MR) images for pediatric brain tumor …
intensity in multimodal magnetic resonance (MR) images for pediatric brain tumor …
Evaluation of three methods for MRI brain tumor segmentation
RB Dubey, M Hanmandlu… - 2011 eighth international …, 2011 - ieeexplore.ieee.org
Imaging plays a central role in the diagnosis and treatment planning of brain tumor. An
accurate segmentation is critical, especially when the tumor morphological changes remain …
accurate segmentation is critical, especially when the tumor morphological changes remain …
Robust MRI brain tissue parameter estimation by multistage outlier rejection
This article addresses the problem of the tissue type parameter estimation in brain MRI in
the presence of partial volume effects. Automatic MRI brain tissue classification is hampered …
the presence of partial volume effects. Automatic MRI brain tissue classification is hampered …
MR image-based measurement of rates of change in volumes of brain structures. Part II: application to a study of Alzheimer's disease and normal aging
D Wang, JB Chalk, SE Rose, G de Zubicaray… - Magnetic resonance …, 2002 - Elsevier
We present global and regional rates of brain atrophy measured on serially acquired T1-
weighted brain MR images for a group of Alzheimer's disease (AD) patients and age …
weighted brain MR images for a group of Alzheimer's disease (AD) patients and age …
Quantification of muscle, subcutaneous fat and intermuscular fat in pig carcasses and cuts by magnetic resonance imaging
The aim of this study was to determine the suitability of magnetic resonance imaging (MRI)
to predict tissue composition of pig carcasses and cuts. Twenty-four pig carcasses were cut …
to predict tissue composition of pig carcasses and cuts. Twenty-four pig carcasses were cut …
Cortical surface-based analysis of 18F-FDG PET: measured metabolic abnormalities in schizophrenia are affected by cortical structural abnormalities
The purpose of the study is to propose a new framework for surface-based statistical
parametric mapping of PET images using MRI-based cortical surface analysis, including …
parametric mapping of PET images using MRI-based cortical surface analysis, including …
A review of segmentation method for MR image
L Yi, G Zhijun - … Conference on Image Analysis and Signal …, 2010 - ieeexplore.ieee.org
Magnetic resonance (MR) is a typical medical imaging technique. It can provide high
resolution 3D image with anatomical and function information through analyzing MRI …
resolution 3D image with anatomical and function information through analyzing MRI …