人工智能在pet/mr成像中的创新:应用和性能分析。

IF 1.4 3区 医学 Q3 INSTRUMENTS & INSTRUMENTATION
Journal of X-Ray Science and Technology Pub Date : 2025-05-01 Epub Date: 2025-02-25 DOI:10.1177/08953996241313122
Hanzhong Wang, Yue Wang, Xing Chen, Zheng Zhang, Zengping Lin, Biao Li, Guowei Feng, Qiu Huang
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引用次数: 0

摘要

PET/MR成像的主要挑战包括PET和MR组件的扫描时间延长以及与PET模式相关的辐射暴露。基于人工智能(AI)的技术为克服这些限制提供了一种有希望的方法。目的评价整合到United Imaging PET/MR系统中的基于人工智能的图像增强方法,重点关注图像质量的改善、注射剂量的减少和采集时间的缩短。方法63例患者采用先进的人工智能增强方法,采用uPMR790(0.09±0.01 mCi/kg, 5 min/床,n = 29)和uPMR890(0.05±0.01 mCi/kg, 2.5 min/床,PET和加速MR方案,n = 34)进行18F-FDG PET/MR扫描。缩短MR方案包括T1 W和T2 W序列。图像质量主观上由两位医生评估,客观上使用信噪比和伪影比。结果人工智能增强系统获得了高质量的PET和MR图像,尽管PET和MR组件的PET剂量和扫描时间都减少了。与传统系统相比,基于人工智能的重建图像具有更高的信噪比、更少的伪影和更低的噪声。结论sai增强PET/MR可缩短PET/MR采集时间,降低辐射剂量,提高整体图像质量,显著提高成像效率,是一种有价值的临床混合成像工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovations in artificial intelligence for pet/mr imaging: Application and performance analysis.

BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and MR components and radiation exposure associated with the PET modality. Artificial intelligence (AI)-based techniques offer a promising approach to overcome these limitations.ObjectiveThis study evaluates the AI-based image enhancement methods integrated into the United Imaging PET/MR system, focusing on improvements in image quality, reduced injection dose, and shortened acquisition duration.MethodSixty-three patients underwent 18F-FDG PET/MR scans using uPMR790 (0.09 ± 0.01 mCi/kg, 5 min/bed, n = 29) and uPMR890 (0.05 ± 0.01 mCi/kg, 2.5 min/bed for PET and accelerated MR protocols, n = 34) with advanced AI-enhanced method. Shortened MR protocols included T1 W and T2 W sequences. Image quality was evaluated subjectively by two physicians and objectively using SNR and artifact ratios.ResultsThe AI-enhanced system achieved high-quality PET and MR images despite reduced PET doses and scan durations for both PET and MR components. AI-based reconstruction images showed higher SNR, fewer artifacts, and reduced noise compared to the conventional system.ConclusionsAI-enhanced PET/MR significantly improves imaging efficiency by reducing PET/MR acquisition durations, lowering radiation dose, and enhancing overall image quality, making it a valuable tool for clinical hybrid imaging.

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来源期刊
CiteScore
4.90
自引率
23.30%
发文量
150
审稿时长
3 months
期刊介绍: Research areas within the scope of the journal include: Interaction of x-rays with matter: x-ray phenomena, biological effects of radiation, radiation safety and optical constants X-ray sources: x-rays from synchrotrons, x-ray lasers, plasmas, and other sources, conventional or unconventional Optical elements: grazing incidence optics, multilayer mirrors, zone plates, gratings, other diffraction optics Optical instruments: interferometers, spectrometers, microscopes, telescopes, microprobes
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