Classifying bone trabecular volumes using 3D shape descriptors

被引：0
|
作者：
Herrera, Manuel [1 ]
Martinez-Ortiz, Carlos [2 ]
Carvalho-Lobato, Patricia [3 ]
Manzanares-Cespedes, Maria-Cristina [3 ]
机构：
[1] Univ Complutense, Dept Human Anat & Embryol, Fac Med, Madrid, Spain
[2] Netherlands eSci Ctr, Amsterdam, Netherlands
[3] Univ Barcelona, Dept Pathol & Expt Therapeut, Fac Med, E-08007 Barcelona, Spain
来源：
2015 IEEE 11TH INTERNATIONAL CONFERENCE ON E-SCIENCE | 2015年
关键词：
D O I：
10.1109/eScience.2015.84
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this poster we apply the 3D-cubeness shape descriptor from [1] (C(S)) to a sample (n=37, vertebra, male) of cubic trabecular bone volumes obtained by microcomputerized tomography (CT). Also theoretical models with a decreasing number of assigned trabecular voxels, irrespective their position, were analyzed. Our results show that C(S) correctly classifies the theoretical and the trabecular bone volumes according to their bone volume density (BV/TV) parameter (r=0.97; r2=0.95), and trabecular fractal dimension (FD-BV) (r=0.87; r2=0.80). This provides an alternative to standard global 3D-morphometrical methods used for assessing the microarchitectural deterioration of trabecular bone.
引用
收藏
页码：271 / 272
页数：2
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