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Robust Partial Volume Segmentation with Bias Field Correction in Brain MRI

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3 Author(s)
Huiguang He ; Key Lab. of Complex Syst. & Intelligence Sci., Chinese Acad. of Sci., Beijing ; Bin Lv ; Ke Lu

In MR imaging, image noise, bias field, and partial volume effect are adverse phenomena that increases inter-tissue overlapping and hampers quantitative analysis. This study provides a powerful fully automated classification method, which combines the bias field correction and PV segmentation together. The method has been validated on simulated and real MR images for which gold standard segmentation available. The experimental results show that the proposed method is more accurate and robust than currently available models

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Pattern Recognition, 2006. ICPR 2006. 18th International Conference on  (Volume:2 )

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