Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Biomed Eng Online. 2010 Feb 12;9:8. doi: 10.1186/1475-925X-9-8.
A semi-automated, non-rigid breast surface registration method is presented that involves solving the Laplace or diffusion equations over undeformed and deformed breast surfaces. The resulting potential energy fields and isocontours are used to establish surface correspondence. This novel surface-based method, which does not require intensity images, anatomical landmarks, or fiducials, is compared to a gold standard of thin-plate spline (TPS) interpolation. Realistic finite element simulations of breast compression and further testing against a tissue-mimicking phantom demonstrate that this method is capable of registering surfaces experiencing 6 - 36 mm compression to within a mean error of 0.5 - 5.7 mm.
提出了一种半自动、非刚性的乳房表面配准方法,该方法涉及在未变形和变形的乳房表面上求解拉普拉斯或扩散方程。所得到的势能场和等位面用于建立表面对应关系。这种新颖的基于表面的方法不需要强度图像、解剖学标志或基准点,与薄板样条插值(TPS)的金标准进行了比较。对乳房压缩的真实有限元模拟以及对组织模拟体的进一步测试表明,该方法能够将经历 6-36 毫米压缩的表面配准到平均误差为 0.5-5.7 毫米以内。