Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Sci Rep. 2023 Jun 2;13(1):8955. doi: 10.1038/s41598-023-35989-6.
Aim of this study was to assess the impact of virtual monoenergetic images (VMI) in combination and comparison with iterative metal artifact reduction (IMAR) on hip prosthesis-associated artifacts in photon-counting detector CT (PCD-CT). Retrospectively, 33 scans with hip prosthesis-associated artifacts acquired during clinical routine on a PCD-CT between 08/2022 and 09/2022 were analyzed. VMI were reconstructed for 100-190 keV with and without IMAR, and compared to polychromatic images. Qualitatively, artifact extent and assessment of adjacent soft tissue were rated by two radiologists using 5-point Likert items. Quantitative assessment was performed measuring attenuation and standard deviation in most pronounced hypodense and hyperdense artifacts, artifact-impaired bone, muscle, vessels, bladder and artifact-free corresponding tissue. To quantify artifacts, an adjusted attenuation was calculated as the difference between artifact-impaired tissue and corresponding tissue without artifacts. Qualitative assessment improved for all investigated image reconstructions compared to polychromatic images (PI). VMI in combination with IMAR achieved best results (e.g. diagnostic quality of the bladder: median PI: 1.5 (range 1-4); VMI: 5 (3-5); p < 0.0001). In quantitative assessment VMI with IMAR provided best artifact reduction with an adjusted attenuation closest to 0 (e.g. bone: PI: 302.78; VMI: 51.18; p < 0.0001). The combination of VMI and IMAR significantly reduces hip prosthesis-associated artifacts in PCD-CT and improves the diagnostic quality of surrounding tissue.
本研究旨在评估虚拟单能量图像(VMI)与迭代金属伪影降低(IMAR)相结合和比较对光子计数探测器 CT(PCD-CT)中髋关节假体相关伪影的影响。回顾性分析了 2022 年 8 月至 9 月期间在 PCD-CT 上进行的 33 例髋关节假体相关伪影的临床常规扫描。为 100-190keV 重建了 VMI,有无 IMAR,并与多色图像进行比较。两位放射科医生使用 5 分李克特量表对伪影程度和相邻软组织的评估进行了定性评估。定量评估通过测量最明显的低衰减和高衰减伪影、伪影受损的骨、肌肉、血管、膀胱和无伪影的相应组织中的衰减和标准差来进行。为了量化伪影,计算了一个调整后的衰减值,即伪影受损组织与无伪影的相应组织之间的差异。与多色图像(PI)相比,所有研究的图像重建的定性评估都有所改善。VMI 与 IMAR 相结合可获得最佳结果(例如,膀胱的诊断质量:PI:1.5(范围 1-4);VMI:5(3-5);p < 0.0001)。在定量评估中,VMI 与 IMAR 提供了最佳的伪影减少效果,调整后的衰减值最接近 0(例如,骨:PI:302.78;VMI:51.18;p < 0.0001)。VMI 与 IMAR 的结合可显著减少 PCD-CT 中髋关节假体相关伪影,并提高周围组织的诊断质量。