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高分辨血管成像与定量方法研究进展(特邀)

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主要综述高分辨血管成像技术及其在生物医学领域中的应用，侧重评述适用于高分辨血管图像的定量表征方法。血管图像定量表征主要包括3个步骤:图像预处理、血管图像重建及定量特征获取、定量参数的统计学分析。同时，对每个步骤中所涉及的算法流程、准确性评估及后续算法的优化方向进行详尽的阐述。此外，探讨多种血管和血流参数所反映的生物学信息在临床上的参考意义，并结合具体的疾病场景，介绍多参数分析模型在区分不同疾病发展阶段方面的能力。本文的阐述不仅体现了高分辨血管成像技术及定量表征方法的潜在价值，也展示了它们在推进生物医学基础研究和临床诊断等方面的光明前景。
Progress in High-Resolution Vascular Imaging and Quantification(Invited)
In this study,we summarize the advancements in high-resolution vascular imaging technology and its applications in the biomedical field.In particular,we focus on quantitative characterization methods applicable to high-resolution vascular images.The quantification process of vascular images generally comprises three main steps:image preprocessing,vascular image reconstruction and quantitative characterization acquisition,and statistical analysis of quantitative parameters.We provide a detailed explanation of the algorithm pipeline,accuracy assessment,and potential optimization directions for the methods employed in each step.Furthermore,we explore the significance of extracting biological information from various vascular and blood parameters for clinical reference.We also discuss the robustness of multiparametric models in distinguishing different stages of disease development within specific disease contexts.These advancements not only reflect the potential value of high-resolution vascular imaging technology and the application of quantitative characterizations but also provide new insights into their promising prospects for advancing fundamental biomedical research and clinical diagnosis.

medical and biological imaginghigh-resolution imagingangiographytomographic image processingquantitative characterizationparametric analysis

刘翊婕、王春承、孟佳、钱书豪、周凌熙、陈灵美、刘智毅

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浙江大学光电科学与工程学院,浙江 杭州 310027

医学和生物成像 高分辨成像 血管造影 层析成像图像处理 定量表征 参数分析

浙江省自然科学基金国家自然科学基金国家重点研发计划

LR20F050001622752322019YFE0113700

2024

10.3788/LOP232137

激光与光电子学进展
中国科学院上海光学精密机械研究所

激光与光电子学进展

CSTPCD北大核心
影响因子：1.153
ISSN：1006-4125
年,卷(期)：2024.61(2)
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