Robust quadric fitting and mensuration comparison in a mapping space applied to 3D morphological characterization of articular surfaces

被引：5

作者：

Allaire, S. ^{[1
,2
]}

Burdin, V. ^{[1
,2
]}

Jacq, J. -J. ^{[1
,2
]}

Moineau, G. ^{[2
]}

Stindel, E. ^{[2
,3
]}

Roux, C. H. ^{[1
,2
]}

机构：

[1] GET ENST, ENST Bretagne, F-29200 Brest, France

[2] INSERM, U650, F-29200 Brest, France

[3] CHU Brest, Service Orthopedie Traumatol, F-29200 Brest, France

来源：

2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3 | 2007年

关键词：

feature extraction; shape measurement; surface fitting; geometric modeling; bones;

D O I：

10.1109/ISBI.2007.357016

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper tackles the issue of the global morphological characterization and quantitative comparison of anatomical shapes, such as bone articular surfaces. This is performed by robustly fitting implicit quadratic surfaces which form an eigenvector decomposition. In addition to 3D examination of the results, mensuration analysis is made easier in an original mapping 2D space: the Quadric Shape Map (QSM). A first application to the hip joint produces discriminating signatures between healthy and pathological clinical cases.

引用

页码：972 / +

页数：2

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