A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction

View Researcher's Other Codes

MATLAB code for the paper: “A Variational Multiphase Level Set Approach to Simultaneous Segmentation and Bias Correction”.

Disclaimer: The provided code links for this paper are external links. Science Nest has no responsibility for the accuracy, legality or content of these links. Also, by downloading this code(s), you agree to comply with the terms of use as set out by the author(s) of the code(s).

Please contact us in case of a broken link from here

Authors Kaihua Zhang, Lei Zhang, and Su Zhang
Journal/Conference Name 2010 IEEE International Conference on Image Processing (ICIP 2010)
Paper Category
Paper Abstract This paper presents a novel level set approach to simultaneous tissue segmentation and bias correction of Magnetic Resonance Imaging (MRI) images. We first model the distribution of intensity belonging to each tissue as a Gaussian distribution with spatially varying mean and variance. Then a sliding window is used to transform the intensity domain to another domain, where the distribution overlap between different tissues is significantly suppressed. A maximum likelihood objective function is defined for each point in the transformed domain, which is then integrated over the entire domain to form a variational level set formulation. Tissue segmentation and bias correction are simultaneously achieved via a level set evolution process. The proposed method is robust to initialization, thereby allowing automatic applications. Experiments on images of various modalities demonstrated the superior performance of the proposed approach over state-of-the-art methods.
Date of publication 2010
Code Programming Language MATLAB

Copyright Researcher 2022