Suppr超能文献

均匀三次B样条变形场的解析正则化

Analytic regularization of uniform cubic B-spline deformation fields.

作者信息

Shackleford James A, Yang Qi, Lourenço Ana M, Shusharina Nadya, Kandasamy Nagarajan, Sharp Gregory C

机构信息

Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA 02114, USA.

出版信息

Med Image Comput Comput Assist Interv. 2012;15(Pt 2):122-9. doi: 10.1007/978-3-642-33418-4_16.

Abstract

Image registration is inherently ill-posed, and lacks a unique solution. In the context of medical applications, it is desirable to avoid solutions that describe physically unsound deformations within the patient anatomy. Among the accepted methods of regularizing non-rigid image registration to provide solutions applicable to medical practice is the penalty of thin-plate bending energy. In this paper, we develop an exact, analytic method for computing the bending energy of a three-dimensional B-spline deformation field as a quadratic matrix operation on the spline coefficient values. Results presented on ten thoracic case studies indicate the analytic solution is between 61-1371x faster than a numerical central differencing solution.

摘要

图像配准本质上是不适定的,并且缺乏唯一解。在医学应用的背景下,希望避免出现描述患者解剖结构内物理上不合理变形的解。在已被接受的用于正则化非刚性图像配准以提供适用于医学实践的解的方法中,薄板弯曲能量惩罚法是其中之一。在本文中,我们开发了一种精确的解析方法,用于将三维B样条变形场的弯曲能量计算为关于样条系数值的二次矩阵运算。在十个胸部病例研究中给出的结果表明,该解析解比数值中心差分法快61 - 1371倍。

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