Effect of low-dose CT and iterative reconstruction on trabecular bone microstructure assessment

骨质疏松症 定量计算机断层扫描 迭代重建 椎骨 材料科学 断层摄影术 成像体模 骨矿物 核医学 生物医学工程 磁共振成像 微观结构 医学 放射科 解剖 冶金 内分泌学
作者
Felix K. Kopp,Thomas Baum,Radin A. Nasirudin,Kai Mei,Eduardo Grande García,Rainer Burgkart,Ernst J. Rummeny,Jan S. Bauer,Peter B. Noël
出处
期刊:Proceedings of SPIE [SPIE]
卷期号:9788: 97881R-97881R 被引量:1
标识
DOI:10.1117/12.2216175
摘要

The trabecular bone microstructure is an important factor in the development of osteoporosis. It is well known that its deterioration is one effect when osteoporosis occurs. Previous research showed that the analysis of trabecular bone microstructure enables more precise diagnoses of osteoporosis compared to a sole measurement of the mineral density. Microstructure parameters are assessed on volumetric images of the bone acquired either with high-resolution magnetic resonance imaging, high-resolution peripheral quantitative computed tomography or high-resolution computed tomography (CT), with only CT being applicable to the spine, which is one of clinically most relevant fracture sites. However, due to the high radiation exposure for imaging the whole spine these measurements are not applicable in current clinical routine. In this work, twelve vertebrae from three different donors were scanned with standard and low radiation dose. Trabecular bone microstructure parameters were assessed for CT images reconstructed with statistical iterative reconstruction (SIR) and analytical filtered backprojection (FBP). The resulting structure parameters were correlated to the biomechanically determined fracture load of each vertebra. Microstructure parameters assessed for low-dose data reconstructed with SIR significantly correlated with fracture loads as well as parameters assessed for standard-dose data reconstructed with FBP. Ideal results were achieved with low to zero regularization strength yielding microstructure parameters not significantly different from those assessed for standard-dose FPB data. Moreover, in comparison to other approaches, superior noise-resolution trade-offs can be found with the proposed methods.
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