摘要:We recently developed a multiresolution PDE-based deformable
surface whose deformation behavior is governed by partial
differential equations (PDEs) such as the weighted minimal surface
flow. Comparing with the level-set approach, our new model has
better control of the mesh quality and model resolution, and is
much simpler to implement since all the computations are local.
The new deformable model is very useful for a variety of medical
imaging applications including boundary reconstruction, surface
visualization, data segmentation, and topology discovery. In this
paper, we demonstrate both the accuracy and robustness of our
model on areas such as medical image segmentation through a number
of experiments on both real (MRI/CT) and synthetic volumetric
datasets.