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CBCT-based bone quality assessment: are Hounsfield units applicable?

机译:基于CBCT的骨质量评估:洪斯菲尔德单位是否适用?

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摘要

CBCT is a widely applied imaging modality in dentistry. It enables the visualization of high-contrast structures of the oral region (bone, teeth, air cavities) at a high resolution. CBCT is now commonly used for the assessment of bone quality, primarily for pre-operative implant planning. Traditionally, bone quality parameters and classifications were primarily based on bone density, which could be estimated through the use of Hounsfield units derived from multidetector CT (MDCT) data sets. However, there are crucial differences between MDCT and CBCT, which complicates the use of quantitative gray values (GVs) for the latter. From experimental as well as clinical research, it can be seen that great variability of GVs can exist on CBCT images owing to various reasons that are inherently associated with this technique (i.e. the limited field size, relatively high amount of scattered radiation and limitations of currently applied reconstruction algorithms). Although attempts have been made to correct for GV variability, it can be postulated that the quantitative use of GVs in CBCT should be generally avoided at this time. In addition, recent research and clinical findings have shifted the paradigm of bone quality from a density-based analysis to a structural evaluation of the bone. The ever-improving image quality of CBCT allows it to display trabecular bone patterns, indicating that it may be possible to apply structural analysis methods that are commonly used in micro-CT and histology.
机译:CBCT是在牙科领域中广泛应用的成像方式。它可以高分辨率显示口腔区域的高对比度结构(骨骼,牙齿,气腔)。 CBCT现在通常用于骨质量评估,主要用于术前植入物计划。传统上,骨质量参数和分类主要基于骨密度,这可以通过使用源自多探测器CT(MDCT)数据集的Hounsfield单位进行估算。但是,MDCT和CBCT之间存在关键的区别,这使定量灰度值(GV)的使用变得复杂。从实验和临床研究可以看出,由于与该技术固有相关的各种原因(即,有限的视野大小,相对较高的散射辐射量和当前的局限性),CBCT图像上可能存在GV的巨大变异性。应用的重建算法)。尽管已尝试纠正GV变异性,但可以推测,此时应避免在CBCT中定量使用GV。此外,最近的研究和临床发现已经将骨骼质量的范式从基于密度的分析转变为骨骼的结构评估。 CBCT的图像质量不断提高,使其能够显示小梁骨图案,这表明可以应用微CT和组织学中常用的结构分析方法。

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