Pope D L, Parker D L, Clayton P D, Gustafson D E
Radiology. 1985 May;155(2):513-8. doi: 10.1148/radiology.155.2.3885315.
Initial results obtained with a simple, fully automated algorithm for detection of left ventricular boundaries are presented. The strength of this approach is the use of dynamic programming search techniques, which allow determination of local border points to be influenced by the entire global border location. The relative contributions of mask mode subtraction and the dynamic search technique are evaluated with respect to accurate border definition. These computer-determined ventricular borders are compared with hand-traced borders on subtracted and unsubtracted images. The modular dynamic search algorithm is shown to perform better than previously described algorithms, which generally require operator interaction. It is also shown that for both manual and automated techniques, ventricular borders derived from subtracted images may be significantly different from borders derived from nonsubtracted images.
本文展示了使用一种简单的全自动算法检测左心室边界所获得的初步结果。这种方法的优势在于运用了动态规划搜索技术，该技术能使局部边界点的确定受到整个全局边界位置的影响。针对准确的边界定义，评估了掩码模式减法和动态搜索技术的相对贡献。将这些计算机确定的心室边界与在相减图像和未相减图像上手绘的边界进行比较。结果表明，模块化动态搜索算法比先前描述的算法表现更好，先前的算法通常需要操作员进行交互。研究还表明，对于手动和自动技术，从相减图像得出的心室边界可能与从未相减图像得出的边界有显著差异。
