Medical image registration using geometric hashing

被引：28

作者：

Gueziec, AP

Pennec, X

Ayache, N

机构：

[1] INRIA SOPHIA, PROJET EPIDAURE, F-06902 SOPHIA ANTIPOLIS, FRANCE

[2] IBM CORP, TJ WATSON RES CTR, VISUAL & GEOMETR COMP DEPT, YORKTOWN HTS, NY 10598 USA

来源：

IEEE COMPUTATIONAL SCIENCE & ENGINEERING | 1997年 / 4卷 / 04期

关键词：

D O I：

10.1109/99.641607

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

To carefully compare pictures of the same thing taken from different views, the images must first be registered, or aligned so as to best superimpose them. Results show that two geometric hashing methods, based respectively on curves and characteristic features, can be used to compute 3D transformations that automatically register medical images of the same patient in a practical, fast, accurate, and reliable manner.

引用

页码：29 / 41

页数：13

共 32 条

[1] HYPER - A NEW APPROACH FOR THE RECOGNITION AND POSITIONING OF TWO-DIMENSIONAL OBJECTS [J].