Methods on skull strip** of MRI head scan images—a review
The high resolution magnetic resonance (MR) brain images contain some non-brain tissues
such as skin, fat, muscle, neck, and eye balls compared to the functional images namely …
such as skin, fat, muscle, neck, and eye balls compared to the functional images namely …
Survey of automated multiple sclerosis lesion segmentation techniques on magnetic resonance imaging
Multiple sclerosis (MS) is a chronic disease. It affects the central nervous system and its
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …
clinical manifestation can variate. Magnetic Resonance Imaging (MRI) is often used to …
Self-reported sleep and β-amyloid deposition in community-dwelling older adults
Importance Older adults commonly report disturbed sleep, and recent studies in humans
and animals suggest links between sleep and Alzheimer disease biomarkers. Studies are …
and animals suggest links between sleep and Alzheimer disease biomarkers. Studies are …
Optical coherence tomography reflects brain atrophy in multiple sclerosis: a four‐year study
Objective The aim of this work was to determine whether atrophy of specific retinal layers
and brain substructures are associated over time, in order to further validate the utility of …
and brain substructures are associated over time, in order to further validate the utility of …
Evaluating white matter lesion segmentations with refined Sørensen-Dice analysis
The Sørensen-Dice index (SDI) is a widely used measure for evaluating medical image
segmentation algorithms. It offers a standardized measure of segmentation accuracy which …
segmentation algorithms. It offers a standardized measure of segmentation accuracy which …
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans
Many methods have been proposed for tissue segmentation in brain MRI scans. The
multitude of methods proposed complicates the choice of one method above others. We …
multitude of methods proposed complicates the choice of one method above others. We …
BEaST: brain extraction based on nonlocal segmentation technique
Brain extraction is an important step in the analysis of brain images. The variability in brain
morphology and the difference in intensity characteristics due to imaging sequences make …
morphology and the difference in intensity characteristics due to imaging sequences make …
Longitudinal multiple sclerosis lesion segmentation: resource and challenge
In conjunction with the ISBI 2015 conference, we organized a longitudinal lesion
segmentation challenge providing training and test data to registered participants. The …
segmentation challenge providing training and test data to registered participants. The …
Random forest regression for magnetic resonance image synthesis
By choosing different pulse sequences and their parameters, magnetic resonance imaging
(MRI) can generate a large variety of tissue contrasts. This very flexibility, however, can yield …
(MRI) can generate a large variety of tissue contrasts. This very flexibility, however, can yield …
Multi-atlas skull-strip**
Rationale and Objectives We present a new method for automatic brain extraction on
structural magnetic resonance images, based on a multi-atlas registration framework …
structural magnetic resonance images, based on a multi-atlas registration framework …