3D Biomedical Data Restoration Based on Statistical Deformable Model
Xiang Xu · Jisuanji gongcheng · 2009
A biomedical data restoration algorithm based on statistical deformable model is proposed.Specifically, the statistical model is partitioned into known and unknown parts, and the unknown data are estimated by the prior knowledge constructed by the statistical model and the known data.Experiments on missing liver edge points demonstrate that the restoration error can be controlled at less than 1% under 40% unknown data points with proper resolution.