Periaswamy Senthil, Farid Hany
Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA.
IEEE Trans Med Imaging. 2003 Jul;22(7):865-74. doi: 10.1109/TMI.2003.815069.
We have developed a general-purpose registration algorithm for medical images and volumes. This method models the transformation between images as locally affine but globally smooth. The model also explicitly accounts for local and global variations in image intensities. This approach is built upon a differential multiscale framework, allowing us to capture both large- and small-scale transformations. We show that this approach is highly effective across a broad range of synthetic and clinical medical images.
我们开发了一种用于医学图像和体数据的通用配准算法。该方法将图像之间的变换建模为局部仿射但全局平滑的。该模型还明确考虑了图像强度的局部和全局变化。这种方法建立在一个微分多尺度框架之上,使我们能够捕捉大尺度和小尺度的变换。我们表明,这种方法在广泛的合成和临床医疗图像上都非常有效。