A template based technique for automatic detection of fiducial markers in 3D brain images

被引：0

作者：

Tan, Jun ^{[1
]}

Chen, Dingguo ^{[1
]}

Chaudhary, Vipin ^{[2
]}

Sethi, Ishwar ^{[1
]}

机构：

[1] Oakland Univ, Dept Comp Sci & Engn, Rochester, MI 48309 USA

[2] Wayne State Univ, Inst Comp Sci, Detroit, MI USA

来源：

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | 2006年 / 1卷

关键词：

Co-registration; Fiducial detection; Neurosurgery; Computer assisted surgery; Image processing;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

In this paper we present an accurate template-based technique for automatic detection of fiducial markers in 3D brain images so that fully automatic landmark-based co-registration can be implemented In our approach, we performed edge detection on a sequence of fiducial images in their location order. We then examined the resulting edge sequence to see if it matches a predefined template. In our tests, our approach detected successfully 429 out of 430 fiducial markers that can be recognized by human eyes. Thus, our template-based technique can eliminate the procedure of waiting for users to manually pick fiducial landmarks in images in landmark-based image-registrations.

引用

页码：47 / 49

页数：3