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This paper proposes a new energy minimization framework for simultaneous estimation of the bias field and segmentation of tissues for magnetic resonance images. The bias field is modeled as a linear combination of a set of basis functions, and thereby parameterized by the coefficients of the basis functions. We define an energy that depends on the coefficients of the basis functions, the membership functions of the tissues in the image, and the constants approximating the true signal from thedoi:10.1109/cvpr.2009.5206553 dblp:conf/cvpr/LiGWG09 fatcat:q4pnbxezj5fxfledaldpkcwp6y