材料科学
对比度(视觉)
图像分辨率
铪
分辨率(逻辑)
图像质量
纳米颗粒
血管造影
计算机断层摄影术
生物医学工程
高对比度
图像对比度
断层摄影术
分子成像
对比度增强
医学影像学
磁共振造影剂
高分辨率
计算机科学
时间分辨率
核磁共振
作者
Shujie Li,Houde Wu,Li Guo,Xiaoyi Wang,Gang Shu,Xinxing Li,Shao‐Kai Sun
出处
期刊:ACS Nano
[American Chemical Society]
日期:2025-10-17
卷期号:19 (42): 37266-37280
被引量:5
标识
DOI:10.1021/acsnano.5c12047
摘要
Achieving high resolution while minimizing contrast agent dosage remains a key goal, yet a major challenge in contrast-enhanced computed tomography (CT) imaging. Herein, we propose an artificial intelligence-assisted low-dose high atomic number contrast agent for ultrahigh-resolution CT imaging. As a proof of concept, high-quality PEGylated hafnium oxide nanoparticles (DA-HfO2 NPs) are synthesized, exhibiting superior X-ray attenuation, high hafnium content (36%), excellent water solubility, appropriate hydrodynamic size (13.5 nm), and prolonged circulation half-life (161.9 min). High-dose DA-HfO2 NPs enable extended ultrahigh-resolution vascular imaging with a spatial resolution of 0.15 mm and a time window of at least 60 min. More importantly, by integrating artificial intelligence, the low-dose contrast agent (at 25% of the standard dose) achieves imaging quality comparable to that of the high-dose agent in both contrast density and spatial resolution, while simultaneously enhancing biosafety. This strategy enables high-resolution imaging at reduced contrast agent doses and offers a promising approach for sensitive and safe CT angiography.
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