Symmetry Detection in Brain Image Analysis
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Recent advances in imaging technology have revealed its potential in transforming many aspects of clinical medicine. Modern neuroimaging techniques provide a vast amount of anatomical and functional information of the brain. Computer-aided quantitative neuroimage analysis techniques can be utilized to facilitate the diagnostic capability and patient treatment. However, despite the extensive research, computer-aided brain image analysis has proven to be a difficult problem (Hahn, 2010). Conventional methods are mainly based on the intensity information contained in images. Recently, attention has been turned towards the incorporation of prior knowledge based on anatomical features to improve the accuracy (Clark et al., 1998). One way to integrate such knowledge is to use brain symmetry information. The brain is highly symmetrical with only small variations. Study of brain symmetry is done by (Hugdahl, 2005; Maes et al., 1999). The highly symmetrical distribution of brain tissues provides an excellent opportunity for symmetry-aided diagnosis. Many researchers have been motivated by this to develop symmetry integrated methods for brain image analysis. In order to retrieve symmetry information from a brain image, it is crucial to identify the precise location of the brain symmetry plane. A number of methods have been proposed for brain symmetry detection. The aim of this article is to provide an overview of the current state of knowledge of quantitative analysis of symmetry in neuroimages together with brain symmetry plane detection techniques, and challenges.
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