Suppr超能文献

存在强度变化时的弹性配准。

Elastic registration in the presence of intensity variations.

作者信息

Periaswamy Senthil, Farid Hany

机构信息

Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA.

出版信息

IEEE Trans Med Imaging. 2003 Jul;22(7):865-74. doi: 10.1109/TMI.2003.815069.

Abstract

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.

摘要

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。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验