Earticle

초록

영어

Intensity in homogeneities cause considerable difficulties in the quantitative analysis of Magnetic Resonance (MR) images. Thus intensity in homogeneities estimation is a necessary step before quantitative analysis of MR data can be undertaken. This paper proposes a new energy minimization framework for simultaneous estimation of the intensity in homogeneities and segmentation. The intensity in homogeneities is modeled as a linear combination of a set of basis functions, and parameterized by the coefficients of the basis functions. The energy function depends on the coefficients of the basis functions, the membership ratios and the centroids of the tissues in the image. Intensity in homogeneities estimation and image segmentation are simultaneously achieved by calculating the result of minimizing this energy. Furthermore, in order to improve its robustness to noise, the membership ratios are adapted by using nonlocal information. Experimental results on both real MR images and simulated MR data show that our method can obtain more accurate results when segmenting images with bias field and noise.

목차

Abstract
 1. Introduction
 2. Methods
  2.1. Background
  2.2. Objective Function
 3. Implementation and Results
  3.1. Evaluation with Simulated Data
  3.2. Evaluation with Real Data
  3.3. Impact of the Non-Local Parameters
 4. Conclusion
 Acknowledgements
 References

키워드

저자

• Yunjie Chen [ School of math and statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Zhengkai Wang [ School of math and statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Jin Wang [ School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ]
• Yuhui Zheng [ School of Computer & Software, Nanjing University of Information Science & Technology, Nanjing 210044, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Grid and Distributed Computing

• 간기

  격월간

• pISSN

  2005-4262

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605