Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Pattern Recognition and Image Preprocessing
Pattern Recognition and Image Preprocessing
An Evaluation of Implicit Surface Tilers
IEEE Computer Graphics and Applications
Uncertainty Visualization in Medical Volume Rendering Using Probabilistic Animation
IEEE Transactions on Visualization and Computer Graphics
Phase-Based Level Set Segmentation of Ultrasound Images
IEEE Transactions on Information Technology in Biomedicine
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This paper proposes an approach integrating level set method with ray casting for image segmentation and visualization. A prior probability derived from Kullback--Leibler information number to estimate the targets (e.g., tumor and tissue) is firstly incorporated into Bayesian level set method. The Bayesian level set method is then used to continuously segment the targets from a series of brain images. To facilitate 3D volume visualization of medical-image dataset, ray casting and marching cubes algorithm are 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.