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• Technical Article •
Smooth fitting of bias field in prostate MRI with peak detection
YANG Xiong  ZHAN Shu  XIE Dong-dong 

DOI:10.12015/issn.1674-8034.2016.10.011.


[Abstract] Objective: To study correction of the inhomogeneity of grayscale (Bias Field) in prostate MR image.Materials and Methods: Several transverse images derived from magnetic resonance scanning data of prostate. The piecewise constant property of the real image and the smooth change characteristic of the bias field are expressed in the image model. An energy function is constructed and the bias field estimation and tissue segmentation are realized by minimizing the energy function. The initial parameters of the energy function are obtained automatically by using the peak detection technique, and the smoothing fitting of the offset field is realized by using a set of basis functions combined with trigonometric functions and polynomial functions.Results: Some qualitative evaluations showed the significant improvement of prostate MR image with severe intensity inhomogeneity by using our method. The comparison with other methods in some quantitative evaluation indexes (Coefficient of variation, Root mean square and Jaccard similarity) is shown to demonstrate the better result of our method.Conclusion: Peak detection based bias correction method can perfect the intensity inhomogeneity in prostate MR image.
[Keywords] Magnetic resonance imaging；Prostate；Peak detection；Bias field correction；Smooth fitting

YANG Xiong School of Computer and Information, Hefei University of Technology, Hefei 230009, China

ZHAN Shu* School of Computer and Information, Hefei University of Technology, Hefei 230009, China

XIE Dong-dong Second Affiliated Hospital, Anhui Medical University, Hefei 230601, China

*Correspondence to: Zhan S, E-mail: shu_zhan@hfut.edu.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was supported by National Natural Science Foundation of China No. 61371156
Received  2016-08-01
Accepted  2016-09-23
DOI: 10.12015/issn.1674-8034.2016.10.011
DOI:10.12015/issn.1674-8034.2016.10.011.

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