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使用机架角度倾斜为头颈患者开发立体CT金属伪影管理算法。

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

作者信息

Branco Daniela, Kry Stephen, Taylor Paige, Rong John, Zhang Xiaodong, Peterson Christine, Frank Steven, Followill David

机构信息

Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

出版信息

J Appl Clin Med Phys. 2020 Aug;21(8):120-130. doi: 10.1002/acm2.12922. Epub 2020 Jun 7.

Abstract

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.

摘要

牙科汞合金是头颈部(HN)图像中伪影的常见来源。已有商业伪影减少技术,但在减少牙科汞合金产生的伪影方面基本无效,可能会产生额外伪影,提供不准确的HU信息,或需要大量计算时间,因此临床实用性有限。这项工作的目标是定义并验证一种新算法,并提供基于体模的测试作为原理证明。还与供应商的当前解决方案进行了初步临床比较。该算法使用双角度CT扫描,以便生成金属植入物后方伪影最少的单一图像集。使用模拟有补牙的HN患者的体模对该算法进行评估。在前后、左右和上下方向对体模进行基线(无伪影)几何测量,并与使用我们的算法校正金属后的图像进行比较,以评估算法应用可能产生的失真。还比较了基线扫描和校正图像集之间的平均HU值。对供应商的算法进行了类似分析以作比较。这项工作中开发的算法成功保留了图像几何形状和HU值,并校正了金属后方区域的CT金属伪影。在前后、左右和上下方向上,所有机架角度的平均总失真分别为0.17、0.12和0.14毫米。与基线图像集相比,HU测量结果在不同重建图像中显示出显著的一致性。供应商的算法也未显示几何失真,但在HU值分析中与我们的技术相比表现较差。我们使用CT机架角度倾斜的新型金属伪影管理算法为牙科汞合金金属伪影的临床管理提供了一种有前景的技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/354d/7484887/1d209e7fbeb2/ACM2-21-120-g001.jpg

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