Direct 3D model extraction method for color volume images.

There is a great demand for the extraction of organ models from three-dimensional (3D) medical images in clinical medicine diagnosis and treatment. We aimed to aid doctors in seeing the real shape of human organs more clearly and vividly. The method uses the minimum eigenvectors of Laplacian matrix to automatically calculate a group of basic matting components that can properly define the volume image. These matting components can then be used to build foreground images with the help of a few user marks. We propose a direct 3D model segmentation method for volume images. This is a process of extracting foreground objects from volume images and estimating the opacity of the voxels covered by the objects. The results of segmentation experiments on different parts of human body prove the applicability of this method. [ABSTRACT FROM AUTHOR]