中文

Journal of Applied Sciences >

2010 , Vol. 28 >Issue 6: 609 - 615

DOI: https://doi.org/10.3969/j.issn.0255-8297.2010.06.009

Signal and Information Processing

Segmentation of Medical Images Based on Three Dimensional Pulse Coupled Neural Network Model

Expand
  • School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China

Received date: 2010-06-09

  Revised date: 2010-09-27

  Online published: 2010-11-27

Fold

Abstract

 In this study, the 2D pulse coupled neural network (PCNN) model is extended to the 3D space, and a new rule for optimal image segmentation, named product mutual information (PMI), is proposed. Based on the 3D PCNN and PMI, an automatic segmentation algorithm is developed for 3D medical image segmentation. Three-dimensional CT lung images are segmented with the proposed method, showing reduced execution time and improved computation efficiency with high segmentation accuracy. The method is potentially useful for
medical image segmentation.

Key words： pulse coupled neural network; image segmentation; product mutual information; three dimensional; image, computation complexity

Cite this article

SHI Jun, CHANG Qian, ZHONG Jin . Segmentation of Medical Images Based on Three Dimensional Pulse Coupled Neural Network Model[J]. Journal of Applied Sciences, 2010 , 28(6) : 609 -615 . DOI: 10.3969/j.issn.0255-8297.2010.06.009

Options
Outlines

/

〈 〉