荧光寿命成像显微镜
多光谱图像
光学相干层析成像
生物医学工程
医学
易损斑块
荧光
材料科学
病理
放射科
计算机科学
光学
人工智能
物理
作者
Sunwon Kim,Hyeong Soo Nam,Min Woo Lee,Hyun Jung Kim,Woo Jae Kang,Joon Woo Song,Jeongmoo Han,Dong Oh Kang,Wang‐Yuhl Oh,Hongki Yoo,Jin Won Kim
标识
DOI:10.1016/j.jacbts.2021.10.005
摘要
Coronary plaque destabilization involves alterations in microstructure and biochemical composition; however, no imaging approach allows such comprehensive characterization. Herein, the authors demonstrated a simultaneous microstructural and biochemical assessment of high-risk plaques in the coronary arteries in a beating heart using a fully integrated optical coherence tomography and fluorescence lifetime imaging (FLIm). It was found that plaque components such as lipids, macrophages, lipids+macrophages, and fibrotic tissues had unique fluorescence lifetime signatures that were distinguishable using multispectral FLIm. Because FLIm yielded massive biochemical readouts, the authors incorporated machine learning framework into FLIm, and ultimately, their approach enabled an automated, quantitative imaging of multiple key components relevant for plaque destabilization.
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