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MICCAI
2008
Springer

A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity

9 years 11 months ago
A Variational Level Set Approach to Segmentation and Bias Correction of Images with Intensity Inhomogeneity
Abstract. This paper presents a variational level set approach to joint segmentation and bias correction of images with intensity inhomogeneity. Our method is based on an observation that intensities in a relatively small local region are separable, despite of the inseparability of the intensities in the whole image caused by the intensity inhomogeneity. We first define a weighted K-means clustering objective function for image intensities in a neighborhood around each point, with the cluster centers having a multiplicative factor that estimates the bias within the neighborhood. The objective function is then integrated over the entire domain and incorporated into a variational level set formulation. The energy minimization is performed via a level set evolution process. Our method is able to estimate bias of quite general profiles. Moreover, it is robust to initialization, and therefore allows automatic applications. The proposed method has been used for images of various modalities w...
Chunming Li, Rui Huang, Zhaohua Ding, Chris Gat
Added 06 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where MICCAI
Authors Chunming Li, Rui Huang, Zhaohua Ding, Chris Gatenby, Dimitris N. Metaxas, John C. Gore
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