Box-Counting Method of 2D Neuronal Image: Method Modification and Quantitative Analysis Demonstrated on Images from the Monkey and Human Brain

Comput Math Methods Med. 2017:2017:8967902. doi: 10.1155/2017/8967902. Epub 2017 May 8.

Abstract

This study calls attention to the difference between traditional box-counting method and its modification. The appropriate scaling factor, influence on image size and resolution, and image rotation, as well as different image presentation, are showed on the sample of asymmetrical neurons from the monkey dentate nucleus. The standard BC method and its modification were evaluated on the sample of 2D neuronal images from the human neostriatum. In addition, three box dimensions (which estimate the space-filling property, the shape, complexity, and the irregularity of dendritic tree) were used to evaluate differences in the morphology of type III aspiny neurons between two parts of the neostriatum.

MeSH terms

  • Animals
  • Brain / diagnostic imaging*
  • Haplorhini
  • Humans
  • Image Processing, Computer-Assisted / standards*
  • Neostriatum / diagnostic imaging
  • Neuroimaging / methods*
  • Neurons*