Brain tumor detection using three-dimensional Bayesian level set method with volume rendering

This paper proposes an approach integrating 3D Bayesian level set method with volume rendering for brain tumor and tissue segmentation and rendering. A prior probability estimation of the tumor and tissue is incorporated into 3D Bayesian level set method for 3D segmentation. The 3D Bayesian level set method is then used to continuously segment the 3D targets (e.g., tumor, tissue, and whole brain) from a series of brain images. To facilitate 3D volume visualization of medical-image dataset, ray casting is conducted to render the targets and construct the surface of the targets. Experiment results are finally reported in terms of segmenting, rendering, and surface reconstructing of the tumor, tissue, and whole brain.