New approach for correcting bias field in MR images using singularity spectrum analysis

作者：Zheng, Jian-Ying; Fang, Qing; Jiang, Li-Hong; Xie, Lin-Sen; Luo, Jian-Hua

来源：Journal of Shanghai Jiaotong University, 2006, 40(8): 1427-1432+1443.

• Bias field
• Singularity spectrum analysis

Bias field correction may benefit many quantitative analysis applications of MR image. This paper proposed a fundamentally different approach for correcting bias field in MR images. The method is based on the use of the mathematical model of singularity function analysis, which represents a discrete signal or its spectrum as a weighted sum of singularity functions. Through this model, an MR image's low spatial frequency components corrupted by a smoothly varying bias field are first removed, and then reconstructed from its higher spatial frequency components not polluted by bias field. The thus reconstructed image is then used to estimate bias field for final image correction. This correction method does not need any initialization or a prior model, nor image preprocessing such as brain masking or presegmentation. It is fully automatic without any user interaction.

• 出版日期2006-8
• 单位上海交通大学