Dept. of Comput. Sci. & Eng., Univ. of South Florida, Tampa, FL.
IEEE Trans Med Imaging. 1994;13(1):122-32. doi: 10.1109/42.276150.
Presents a new approach for the automatic tracking of SPAMM (Spatial Modulation of Magnetization) grid in cardiac MR images and consequent estimation of deformation parameters. The tracking is utilized to extract grid points from MR images and to establish correspondences between grid points in images taken at consecutive frames. These correspondences are used with a thin plate spline model to establish a mapping from one image to the next. This mapping is then used for motion and deformation estimation. Spatio-temporal tracking of SPAMM grid is achieved by using snakes-active contour models with an associated energy functional. The authors present a minimizing strategy which is suitable for tracking the SPAMM grid. By continuously minimizing their energy functionals, the snakes lock on to and follow the in-slice motion and deformation of the SPAMM grid. The proposed algorithm was tested with excellent results on 123 images (three data sets each a multiple slice 2D, 16 phase Cine study, three data sets each a multiple slice 2D, 13 phase Cine study and three data sets each a multiple slice 2D, 12 phase Cine study).
提出了一种新的方法，用于自动跟踪心脏磁共振图像中的 SPAMM（磁化空间调制）网格，并随后估计变形参数。跟踪用于从磁共振图像中提取网格点，并在连续帧拍摄的图像之间建立网格点之间的对应关系。这些对应关系与薄板样条模型一起用于建立从一个图像到另一个图像的映射。然后，该映射用于运动和变形估计。通过使用带有相关能量函数的蛇主动轮廓模型，实现了 SPAMM 网格的时空跟踪。作者提出了一种适合跟踪 SPAMM 网格的最小化策略。通过不断最小化它们的能量函数，蛇锁定并跟随 SPAMM 网格的切片内运动和变形。该算法在 123 张图像（三个数据集，每个数据集是一个多切片 2D、16 相位 Cine 研究，三个数据集，每个数据集是一个多切片 2D、13 相位 Cine 研究，和三个数据集，每个数据集是一个多切片 2D、12 相位 Cine 研究）上进行了测试，结果非常出色。
