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| A Variational Model for Integrating Registration and Segmentation via Level Set Evolution |
| BAI Xiao-Jing,ZHANG Jie-Yu,SUN Quan-Sen,XIA De-Shen,SUN Huai-Jiang |
| School of Computer Science and Technology,Nanjing University of Science and Technology,Nanjing 210094 |
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Abstract A variational model for integrating registration and segmentation is proposed. A non-parametric registration method based on the abstract matching flow model is adopted as the registration term to go along with the non-parametric segmentation term, handling the problem of inconsistence on definition format and solving plan between parametric registration based on B spline and non-parametric active contour model. An edge-based active contour model is applied to segment the region of interest, and the improved model by adding region statistic information deals with the problem of sensitivity to the initialization. The integrated model is directly defined by the level set function and has the merits of intuitionstic definition and simple numerical solution. The validity of the model is verified via the experiments on single modal and multimodal brain images.
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Received: 23 February 2009
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2010, Vol. 23 
