Exploiting Voxel Correlation for Automated MRI Bias Field Correction by Conditional Entropy Minimization

Abstract. An unsupervised model-based strategy for bias field correction is proposed. We assume that information (in the sense of the information theory) in the corrupted image is greater than that in the uncorrupted one. The method exploits the fact that neighboring voxels are highly correlated to correct the bias field using a linear model.

• Type: Conference
• Year: 2001
• Where: MICCAI
• Authors: Eduardo Solanas, Jean-Philippe Thiran
• Keywords: Bias field Correction, Corrupted Image, Medical Imaging, MICCAI 2001, Unsupervised Model-based Strategy