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Development of a stereoscopic CT metal artifact management algorithm using gantry angle tilts for head and neck patients

机译:使用龙头和颈部倾斜的立体CT金属伪影管理算法

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摘要

Dental amalgams are a common source of artifacts in head and neck (HN) images. Commercial artifact reduction techniques have been offered, but are substantially ineffectual at reducing artifacts from dental amalgams, can produce additional artifacts, provide inaccurate HU information, or require extensive computation time, and thus offer limited clinically utility. The goal of this work was to define and validate a novel algorithm and provide a phantom‐based testing as proof of principle. An initial clinical comparison to a vendor's current solution was also performed. The algorithm uses two‐angled CT scans in order to generate a single image set with minimal artifacts posterior to the metal implants. The algorithm was evaluated using a phantom simulating a HN patient with dental fillings. Baseline (no artifacts) geometrical measurements of the phantom were taken in the anterior–posterior, left–right, and superior–inferior directions and compared to the metal‐corrected images using our algorithm to evaluate possible distortion from application of the algorithm. Mean HU numbers were also compared between the baseline scan and corrected image sets. A similar analysis was performed on the vendor's algorithm for comparison. The algorithm developed in this work successfully preserved the image geometry and HU and corrected the CT metal artifacts in the region posterior to the metal. The average total distortion for all gantry angles in the AP, LR, and SI directions was 0.17, 0.12, and 0.14 mm, respectively. The HU measurements showed significant consistency throughout the different reconstructed images when compared to the baseline image sets. The vendor's algorithm also showed no geometrical distortion but performed inferiorly in the HU number analysis compared to our technique. Our novel metal artifact management algorithm, using CT gantry angle tilts, provides a promising technique for clinical management of metal artifacts from dental amalgam.
机译:牙科汞合金是头部和颈部(HN)图像中的伪影源的共同来源。已经提供了商业伪影减少技术,但是在减少牙科汞合金的伪影时基本上无效,可以产生额外的伪像,提供不准确的HU信息,或需要广泛的计算时间,从而提供有限的临床实用。这项工作的目标是定义和验证一种小说算法,并提供基于幻像的测试作为原理的证据。还执行了与供应商目前解决方案的初始临床比较。该算法使用双角CT扫描,以产生具有金属植入物后部的最小伪像的单个图像集。使用具有牙科填充物的幽灵患者的幻影评估算法。基线(无伪像)幻像的几何测量在前后,左右和优异的下方方向上采集并使用我们的算法比较了金属校正的图像,以评估从应用算法的应用变形。在基线扫描和校正的图像集之间也比较了SEN HU数。对供应商的算法进行了类似的分析进行比较。该工作中开发的算法成功地保留了图像几何形状和胡锦涛,并将区域的CT金属伪像校正到金属后面。 AP,LR和Si方向中所有台架角度的平均总失真分别为0.17,0.12和0.14mm。与基线图像集相比,HU测量显示出在整个不同重建的图像中的显着一致性。供应商的算法也没有几何失真,但与我们的技术相比,HU的HU编号分析中的差异。我们的新型金属伪影管理算法使用CT龙门角度倾斜,为来自牙科汞合金的金属伪影临床管理提供了有希望的技术。

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