Wörz Stefan, Rohr Karl
School of Information Technology, Computer Vision & Graphics Group International University in Germany, 76646 Bruchsal.
Inf Process Med Imaging. 2003 Jul;18:76-88. doi: 10.1007/978-3-540-45087-0_7.
We introduce a new approach for the localization of 3D anatomical point landmarks based on 3D parametric intensity models which are directly fit to the image. We propose an analytic intensity model based on the Gaussian error function in conjunction with 3D rigid transformations as well as deformations to efficiently model tip-like structures of ellipsoidal shape. The approach has been successfully applied to accurately localize anatomical landmarks in 3D MR and 3D CT image data. We have also compared the experimental results with the results of a previously proposed 3D differential operator. It turns out that the new approach significantly improves the localization accuracy.
我们介绍了一种基于直接拟合图像的三维参数强度模型来定位三维解剖学点标志的新方法。我们提出了一种基于高斯误差函数并结合三维刚体变换以及变形的解析强度模型，以有效地对椭圆形的尖端状结构进行建模。该方法已成功应用于在三维磁共振成像（MR）和三维计算机断层扫描（CT）图像数据中准确地定位解剖学标志。我们还将实验结果与先前提出的三维微分算子的结果进行了比较。结果表明，新方法显著提高了定位精度。
