A Local Adaptive Threshold Strategy for High Resolution Peripheral Quantitative Computed Tomography of Trabecular Bone

被引：0
|
作者：
Andrew J. Burghardt
Galateia J. Kazakia
Sharmila Majumdar
机构：
[1] University of California,Musculoskeletal Quantitative Imaging Research Group, Department of Radiology
来源：
Annals of Biomedical Engineering | 2007年 / 35卷
关键词：
High resolution peripheral quantitative computed tomography; Micro-tomography; Trabecular bone; Threshold; Image processing;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
High resolution peripheral quantitative computed tomography (HR-pQCT) is a promising method for detailed in vivo 3D characterization of the densitometric, geometric, and microstructural features of human bone. Currently, a hybrid densitometric, direct, and plate model-based calculation is used to quantify trabecular microstructure. In the present study, this legacy methodology is compared to direct methods derived from a new local thresholding scheme independent of densitometric and model assumptions.
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页码：1678 / 1686
页数：8
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