Preprint Review Version 1 NOT YET PEER-REVIEWED

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
  2. Computational Imaging and VisAnalysis (CIVA) Lab, Department of Computer Science, University of Missouri-Columbia, Columbia, MO 65211, USA
Version 1 : Received: 26 November 2016 / Approved: 28 November 2016 / Online: 28 November 2016 (02:03:34 CET)

How to cite: Kalavathi, P.; Senthamilselvi, K.; Prasath, V. Review of Computational Methods on Brain Symmetric and Asymmetric Analysis from Neuroimaging Techniques. Preprints 2016, 2016110138 (doi: 10.20944/preprints201611.0138.v1). Kalavathi, P.; Senthamilselvi, K.; Prasath, V. Review of Computational Methods on Brain Symmetric and Asymmetric Analysis from Neuroimaging Techniques. Preprints 2016, 2016110138 (doi: 10.20944/preprints201611.0138.v1).

Abstract

Brain is the most complex organ in the human body and it is divided into two hemispheres - left and right hemispheres. Left hemisphere is responsible for control of right side of our body whereas right hemisphere is responsible for control of left side of our body. Brain image segmentation from different neuroimaging modalities is one of the important parts in 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 plane, 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 various neuroimaging techniques (MRI/CT/PET/SPECT), which are utilized for detecting various brain related disorders.

Subject Areas

computational imaging; midsagittal plane; inter-hemispheric fissure; symmetry analysis; neuroimaging

Readers' Comments and Ratings (0)

Discuss and rate this article
Views 42
Downloads 49
Comments 0
Metrics 0
Discuss and rate this article

×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.