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Review of Computational Methods on Brain Symmetric and Asymmetric Analysis from Neuroimaging Techniques

1
Department of Computer Science and Applications, Gandhigram Rural Institute, Deemed University, Gandhigram, 624 302 Tamil Nadu, India
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Computational Imaging and VisAnalysis (CIVA) Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Yudong Zhang and Zhengchao Dong
Technologies 2017, 5(2), 16; https://doi.org/10.3390/technologies5020016
Received: 26 November 2016 / Revised: 16 April 2017 / Accepted: 17 April 2017 / Published: 18 April 2017
(This article belongs to the Special Issue Medical Imaging & Image Processing Ⅱ)
The brain is the most complex organ in the human body and it is divided into two hemispheres—left and right. The left hemisphere is responsible for control of the right side of our body, whereas the right hemisphere is responsible for control of the left side of our body. Brain image segmentation from different neuroimaging modalities is one of the important parts of clinical diagnostic tools. Neuroimaging based digital imagery generally contain noise, inhomogeneity, aliasing artifacts, and orientational deviations. Therefore, accurate segmentation of brain images is a very difficult task. However, the development of accurate segmentation of brain images is very important and crucial for a correct diagnosis of any brain related diseases. One of the fundamental segmentation tasks is to identify and segment inter-hemispheric fissure/mid-sagittal planes, which separate the two hemispheres of the brain. Moreover, the symmetric/asymmetric analyses of left and right hemispheres of brain structures are important for radiologists to analyze diseases such as Alzheimer’s, autism, schizophrenia, lesions and epilepsy. Therefore, in this paper, we have analyzed the existing computational techniques used to find brain symmetric/asymmetric analysis in different neuroimaging techniques such as the magnetic resonance (MR), computed tomography (CT), positron emission tomography (PET), single-photon emission computed tomography (SPECT), which are utilized for detecting various brain related disorders. View Full-Text
Keywords: computational imaging; midsagittal plane; inter-hemispheric fissure; symmetry analysis; neuroimaging computational imaging; midsagittal plane; inter-hemispheric fissure; symmetry analysis; neuroimaging
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Kalavathi, P.; Senthamilselvi, M.; Prasath, V.B.S. Review of Computational Methods on Brain Symmetric and Asymmetric Analysis from Neuroimaging Techniques. Technologies 2017, 5, 16.

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