Alternative Parametric Boundary ReconstructionMethod for Biomedical Imaging

[摘要] Determining the outline or boundary contour of a two-dimensional object, or the surface of athree-dimensional object poses difficulties particularly when there is substantial measurement noise or uncertainty. By adapting the mathematical approach of stochastic function recovery to this task, it is possible to obtain usable estimates for these boundaries, even in the presence of large amounts of noise. The technique is applied to parametric boundary data and has potential applications in biomedical imaging. It should be considered as one of several techniques to improve the visualization of images.

[学科分类] 基础医学