A New Iterative Metal Artifact Reduction Algorithm for Both Energy-Integrating and Photon-Counting CT Systems.

IF 7 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Investigative Radiology Pub Date : 2024-07-01 Epub Date: 2024-01-09 DOI:10.1097/RLI.0000000000001055
Julian A Anhaus, Maximilian Heider, Philipp Killermann, Christian Hofmann, Andreas H Mahnken
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Abstract

Objectives: The aim of this study was to introduce and evaluate a new metal artifact reduction framework (iMARv2) that addresses the drawbacks (residual artifacts after correction and user preferences for image quality) associated with the current clinically applied iMAR.

Materials and methods: A new iMARv2 has been introduced, combining the current iMAR with new modular components to remove residual metal artifacts after image correction. The postcorrection image impression is adjustable with user-selectable strength settings. Phantom scans from an energy-integrating and a photon-counting detector CT were used to assess image quality, including a Gammex phantom and anthropomorphic phantoms. In addition, 36 clinical cases (with metallic implants such as dental fillings, hip replacements, and spinal screws) were reconstructed and evaluated in a blinded and randomized reader study.

Results: The Gammex phantom showed lower HU errors compared with the uncorrected image at almost all iMAR and iMARv2 settings evaluated, with only minor differences between iMAR and the different iMARv2 settings. In addition, the anthropomorphic phantoms showed a trend toward lower errors with higher iMARv2 strength settings. On average, the iMARv2 strength 3 performed best of all the clinical reconstructions evaluated, with a significant increase in diagnostic confidence and decrease in artifacts. All hip and dental cases showed a significant increase in diagnostic confidence and decrease in artifact strength, and the improvements from iMARv2 in the dental cases were significant compared with iMAR. There were no significant improvements in the spine.

Conclusions: This work has introduced and evaluated a new method for metal artifact reduction and demonstrated its utility in routine clinical datasets. The greatest improvements were seen in dental fillings, where iMARv2 significantly improved image quality compared with conventional iMAR.

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适用于能量输入和光子计数 CT 系统的新型迭代金属伪影减少算法。
研究目的本研究旨在引入并评估一种新的减少金属伪影框架(iMARv2),以解决与当前临床应用的 iMAR 相关的缺点(校正后的残留伪影和用户对图像质量的偏好):新推出的 iMARv2 将当前的 iMAR 与新的模块化组件相结合,以消除图像校正后残留的金属伪影。校正后的图像印象可通过用户可选的强度设置进行调整。为评估图像质量,使用了能量积分和光子计数探测器 CT 的模型扫描,包括 Gammex 模型和拟人模型。此外,还对 36 个临床病例(包括牙科填充物、髋关节置换术和脊柱螺钉等金属植入物)进行了重建,并在盲法和随机读者研究中进行了评估:在几乎所有的 iMAR 和 iMARv2 评估设置下,Gammex 模体的 HU 误差都低于未校正的图像,iMAR 和不同 iMARv2 设置之间的差异很小。此外,拟人化模型显示出 iMARv2 强度设置越高误差越低的趋势。平均而言,iMARv2 强度 3 在所有临床重建评估中表现最佳,诊断可信度显著提高,伪影明显减少。所有髋关节和牙科病例的诊断可信度都有显著提高,伪影强度明显降低,与 iMAR 相比,iMARv2 在牙科病例中的改进非常明显。脊柱方面没有明显改善:这项工作引入并评估了一种减少金属伪影的新方法,并证明了它在常规临床数据集中的实用性。与传统的 iMAR 相比,iMARv2 在牙科填充物方面的改进最大,显著提高了图像质量。
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来源期刊
Investigative Radiology
Investigative Radiology 医学-核医学
CiteScore
15.10
自引率
16.40%
发文量
188
审稿时长
4-8 weeks
期刊介绍: Investigative Radiology publishes original, peer-reviewed reports on clinical and laboratory investigations in diagnostic imaging, the diagnostic use of radioactive isotopes, computed tomography, positron emission tomography, magnetic resonance imaging, ultrasound, digital subtraction angiography, and related modalities. Emphasis is on early and timely publication. Primarily research-oriented, the journal also includes a wide variety of features of interest to clinical radiologists.
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