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 …

In this paper, we propose a new skull stripping method for T1-weighted magnetic resonance
(MR) brain images. Skull stripping has played an important role in neuroimage research …

The skull-stripping in the MR brain image appears to be a key issue in neuroimage analysis.
In this paper, we evaluated the accuracy and efficiency of both automated and semi …

The segmentation of brain tissue from nonbrain tissue in magnetic resonance (MR) images,
commonly referred to as skull stripping, is an important image processing step in many …

We present a novel skull-stripping algorithm based on a hybrid approach that combines
watershed algorithms and deformable surface models. Our method takes advantage of the …

Skull stripping methods are designed to eliminate the non-brain tissue in magnetic
resonance (MR) brain images. Removal of non-brain tissues is a fundamental step in …

Automatic skull-stripping or brain extraction of magnetic resonance (MR) images is often a
fundamental step in many neuroimage processing pipelines. The accuracy of subsequent …

Performance of automated methods to isolate brain from nonbrain tissues in magnetic
resonance (MR) structural images may be influenced by MR signal inhomogeneities, type of …

Background Skull-stripping is the procedure of removing non-brain tissue from anatomical
MRI data. This procedure can be useful for calculating brain volume and for improving the …

Featured Application Skull stripping is the most prevalent brain image analysis method. This
method can be applied to areas such as brain tissue segmentation and volumetric …