[show abstract][hide abstract] ABSTRACT: Accurate segmentation of different brain tissues is of much importance in magnetic resonance imaging. This paper presents a comparison of the existing segmentation algorithms that are deployed in the neuroimaging community as part of two widely used software packages. The results obtained in this comparison can be used to select the appropriate segmentation algorithm for the neuroimaging application of interest. In addition to the entire brain area, a comparison is carried out for the subcortical region of the brain in terms of its gray matter composition.
Conference proceedings: ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Conference 02/2008; 2008:3924-8.
[show abstract][hide abstract] ABSTRACT: Exclusion of non-brain matter in functional magnetic resonance imaging is required for performing functional localization in particular, as well as functional image analysis in general. This paper presents a comparison of the commonly used brain masking techniques in functional magnetic resonance imaging. In addition, a masking algorithm based on connected components analysis along with Gaussian smoothing is introduced. The contiguous binary brain mask obtained by the new algorithm is shown to be more effective than the ones obtained by the commonly deployed masking algorithms. The introduced algorithm can also be applied to different image modalities that need to be registered to the space of anatomy or to the native space of echo planar images.
Engineering in Medicine and Biology Workshop, 2007 IEEE Dallas; 12/2007