journal article·2025-10-28

Artificial Intelligence-Assisted Low-Dose High Atomic Number Contrast Agent for Ultrahigh-Resolution Computed Tomography Angiography

Shujie Li, Houde Wu, Li Guo, Xiaoyi Wang, Gang Shu, Xinxing Li, Shao-Kai Sun

ACS Nano· Volume 19· Issue 42
Publisher page

Abstract

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-HfO 2 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-HfO 2 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.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced X-ray and CT Imaging · Medical Imaging Techniques and Applications · Advanced MRI Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Medical Imaging, Division of Medical Technology, Tianjin Key Laboratory of Functional Imaging

Tianjin Medical University

Department of Radiology

Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center of Cancer, Tianjin’s Clinical Research Center for Cancer, Tianjin Key Laboratory of Digestive Cancer

Funding

National Natural Science Foundation of China · Tianjin Municipal Education Commission

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