Nanodroplet-Based Super-Resolution Ultrasound Localization Microscopy

微气泡 超声波 显微镜 分辨率(逻辑) 计算机科学 可视化 生物医学工程 人工智能 医学 放射科 病理
作者
Ge Zhang,Liao Chen,Jun-Rui Hu,Hai-Man Hu,Yumeng Lei,Sevan Harput,Hua-Rong Ye
出处
期刊:ACS Sensors [American Chemical Society]
卷期号:8 (9): 3294-3306 被引量:10
标识
DOI:10.1021/acssensors.3c00418
摘要

Over the past decade, super-resolution ultrasound localization microscopy (SR-ULM) has revolutionized ultrasound imaging with its capability to resolve the microvascular structures below the ultrasound diffraction limit. The introduction of this imaging technique enables the visualization, quantification, and characterization of tissue microvasculature. The early implementations of SR-ULM utilize microbubbles (MBs) that require a long image acquisition time due to the requirement of capturing sparsely isolated microbubble signals. The next-generation SR-ULM employs nanodroplets that have the potential to significantly reduce the image acquisition time without sacrificing the resolution. This review discusses various nanodroplet-based ultrasound localization microscopy techniques and their corresponding imaging mechanisms. A summary is given on the preclinical applications of SR-ULM with nanodroplets, and the challenges in the clinical translation of nanodroplet-based SR-ULM are presented while discussing the future perspectives. In conclusion, ultrasound localization microscopy is a promising microvasculature imaging technology that can provide new diagnostic and prognostic information for a wide range of pathologies, such as cancer, heart conditions, and autoimmune diseases, and enable personalized treatment monitoring at a microlevel.
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