Optimal mass transport and image registration

被引：8

作者：

Haker, S ^{[1
]}

Tannenbaum, A ^{[1
]}

机构：

[1] Brigham & Womens Hosp, Dept Radiol, Surg Planning Lab, Boston, MA 02115 USA

来源：

IEEE WORKSHOP ON VARIATIONAL AND LEVEL SET METHODS IN COMPUTER VISION, PROCEEDINGS | 2001年

关键词：

D O I：

10.1109/VLSM.2001.938878

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Image registration is the process of establishing a common geometric reference frame between two or more data sets from the same or different imaging modalities possibly taken at different times. In the context of medical imaging and in particular image guided therapy, the registration problem consists of finding automated methods that align multiple data sets with each other and with the patient. In this paper we propose a method of elastic registration based on the Monge-Kantorovich problem of optimal mass transport.

引用

页码：29 / 36

页数：8

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