3D Multimodal MRI Brain Glioma Tumor and Edema Segmentation: AGraph Cut Distribution Matching Approach

This study investigates a fast distribution-matching, data-driven algorithm for 3D multimodal MRI brain glioma tumor and edema segmentation in different modalities. From a very simple user input, we learn non-parametric model distributions which characterize the normal regions in the current data. Then, we state our segmentation problems as the optimization of several cost functions of the same form, each containing two terms: (i) a distribution matching prior, which evaluates a global similarity between distributions, and (ii) a smoothness prior to avoid the occurrence of small, isolated regions in the solution.

Source: Computerized Medical Imaging and Graphics - October 28, 2014 Category: Radiology Authors: Ines Njeh, Lamia sallemi, Ismail Ben ayed, Khalil Chtourou, Stephane Lehericy, Damien Galanaud, Ahmed Ben Hamida Source Type: research