生物医学中的光声成像
重复性
骨质疏松症
多光谱图像
人口
生物医学工程
离体
医学
材料科学
计算机科学
体内
人工智能
病理
光学
生物
物理
生物技术
数学
环境卫生
统计
作者
Idan Steinberg,Lihi Shiloh,Israel Gannot,Avishay Eyal
标识
DOI:10.1109/jstqe.2018.2866702
摘要
Osteoporosis affects one-third of the elderly population worldwide with associated health care costs amounting to tens of billions of dollars annually. Identifying and treating the population at risk of fracture, but had not yet suffered from a fracture, can substantially reduce fracture incidence. Unfortunately, molecular changes in the bone, which are of great importance for early diagnosis, are not detected by current low-cost diagnostic methods. To address this issue, presented here is a clinically translatable, dual-modality multispectral photoacoustic system. Ex vivo experiments demonstrated sensitivity to the molecular changes. Specifically, the system enabled a quantitative measurement of the marrow's blood/fat ratio. First-in-human demonstration on healthy human volunteers showed the repeatability and accuracy of the photoacoustic method and its potential for early diagnosis of bone pathologies.
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