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An active contour model for brain magnetic resonance image segmentation based on multiple descriptors
- Source :
- International Journal of Advanced Robotic Systems, Vol 15 (2018)
- Publication Year :
- 2018
- Publisher :
- SAGE Publishing, 2018.
-
Abstract
- With the increasing use of surgical robots, robust and accurate segmentation techniques for brain tissue in the brain magnetic resonance image are needed to be embedded in the robot vision module. However, the brain magnetic resonance image segmentation results are often unsatisfactory because of noise and intensity inhomogeneity. To obtain accurate segmentation of brain tissue, one new multiphase active contour model, which is based on multiple descriptors mean, variance, and the local entropy, is proposed in this study. The model can bring about a more full description of local intensity distribution. Also, the entropy is introduced to improve the performance of robustness to noise of the algorithm. The segmentation and bias correction for brain magnetic resonance image can be simultaneously incorporated by introducing the bias factor in the proposed approach. At last, three experiments are carried out to test the performance of the method. The results in the experiments show that method proposed in this study performed better than most current methods in regard to accuracy and robustness. In addition, the bias-corrected images obtained by proposed method have better visual effect.
- Subjects :
- Active contour model
business.industry
Computer science
lcsh:Electronics
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
lcsh:TK7800-8360
02 engineering and technology
Image segmentation
Brain tissue
lcsh:QA75.5-76.95
030218 nuclear medicine & medical imaging
Computer Science Applications
03 medical and health sciences
0302 clinical medicine
Artificial Intelligence
Computer Science::Computer Vision and Pattern Recognition
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Computer vision
Segmentation
Brain magnetic resonance imaging
Artificial intelligence
lcsh:Electronic computers. Computer science
business
Software
Subjects
Details
- Language :
- English
- ISSN :
- 17298814
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- International Journal of Advanced Robotic Systems
- Accession number :
- edsair.doi.dedup.....073db877b79e0d040e7106bac1f49f96