神经血管束
迭代重建
工件(错误)
图像质量
图像分辨率
材料科学
生物医学工程
放射科
计算机科学
医学
人工智能
图像(数学)
解剖
作者
Adrienn Tóth,Jennifer Y. Cho,Evan Wilson,Jim O’Doherty,Maria Vittoria Spampinato
标识
DOI:10.1177/19714009251313514
摘要
We describe a novel application of photon-counting detector CT (PCD-CT) in neurovascular imaging by harnessing the improved spatial resolution, attenuation of electronic noise, and reduction of metal artifacts. The presented case offers the unique challenge of high-quality imaging for the assessment of treated and untreated intracranial saccular aneurysms, in the setting of metal artifacts from embolization coils. Our goal was to explore optimized reconstruction parameters for ultra-high-resolution imaging (UHR) using a dedicated, sharp neurovascular kernel (Hv72) and the highest strength of quantum iterative reconstruction (QIR-4) for detailed characterization of the vasculature. Virtual monoenergetic images (VMIs) and iterative metal artifact reduction (IMAR) were employed to investigate metal artifact reduction techniques. PCD-CT has the promising potential to enhance patient care in the follow-up of patients with treated aneurysms requiring more complex imaging parameters and image post-processing due to intracranial artifacts.
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