Earticle

초록

영어

Image registration is a necessary pre-processing step before quantitative analysis of brain
MR data. A novel variational optical flow approach for image registration is proposed in this
paper. The advantages of our method are as follows. We coupled bias correction and optical
flow image registration within the unified variational framework. We could recover the
corrected target image through the estimated bias field. Experiments on synthetic and real
brain images demonstrate the advantages of our method.

목차

Abstract
 1. Introduction
 2. Horn-Schunck Model
 3. Image Registration and Bias Field Correction Coupled Framework
 4. Experimental Results
 6. Conclusions
 Acknowledgements
 References

키워드

저자

• Yunjie Chen [ School of Math and Statistic, Nanjing University of Information Science and Technology ]
• Jin Wang [ School of computer and software, Nanjing University of Information Science and Technology ]
• Lin Fang [ School of Math and Statistic, Nanjing University of Information Science and Technology ]
• Jianwei Zhang [ School of Math and Statistic, Nanjing University of Information Science and Technology ]
• Yuhui Zheng [ School of computer and software, Nanjing University of Information Science and Technology ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605