Semi-automatic landmark detection in digital X-ray images of the spine

被引：0

作者：

Gerard, O ^{[1
]}

Lelong, P ^{[1
]}

Planells-Rodriguez, M ^{[1
]}

Makram-Ebeid, S ^{[1
]}

Verdonck, B ^{[1
]}

Breeuwer, M ^{[1
]}

Nijlunsing, R ^{[1
]}

Cheung, J ^{[1
]}

Veldhuizen, A ^{[1
]}

机构：

[1] Labs Elect Philips, F-94453 Limeil Brevannes, France

来源：

RESEARCH INTO SPINAL DEFORMITIES 3 | 2002年 / 88卷

关键词：

D O I：

暂无

中图分类号：

R826.8 [整形外科学]; R782.2 [口腔颌面部整形外科学]; R726.2 [小儿整形外科学]; R62 [整形外科学（修复外科学）];

学科分类号：

摘要：

Quantitative diagnosis of 3D scoliotic deformities depends on a number of dedicated measurements. Existing methods rely on the manual determination of a series of anatomical landmarks in X-ray images. We have developed an automatic method to alleviate the burden of this tedious task. Our method looks for a compromise between local image information and global prior constraints and finds the most probable points using dynamic programming optimization. Remaining errors can be quickly corrected by effective user interaction. The first results are promising.

引用

页码：132 / 135

页数：4

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