文章摘要
程茜,陈盈娜,张浩南,潘晶,覃 宇,袁 杰,封 婷,吴登龙,徐 冠,王学鼎.基于光声谱的生物组织“指纹”光声诊断术*[J].,2018,37(1):88-95
基于光声谱的生物组织“指纹”光声诊断术*
Two-dimensional spectrum analysis based photoacoustic diagnosis of tissue “fingerprint”
投稿时间:2017-12-01  修订日期:2017-12-28
中文摘要:
      肿瘤诊断主要采用医学影像结合组织活检病理予以确诊,但尚未实现高效的早期肿瘤筛查,现有影像术的诊断信息不全面和病理的有创、耗时长是关键问题。近年来快速发展起来的新型生物医学光声成像和光声谱分析技术,对生物组织的分子、化学和功能信息高度灵敏,可实现组织“指纹”的量化检测,且实时、无放射性、无电离性,与其它影像技术融合后具有实现无创“质谱”检测的巨大潜力。本文基于光声信号在光学和声学两个维度的谱分析,实现多种肿瘤和正常组织的光声组织“指纹”成像;提取的量化参数对肿瘤、癌前病变和正常组织进行了有效区分。这项技术有望实现高效、无创、低价的在体早期肿瘤筛查。
英文摘要:
      Medical imaging techniques and pathological biopsy are usually used for tumor diagnosis, but difficult for screening of early-stage tumor. Its key problems include that the diagnosis information offered by the existing image imaging techniques is not comprehensive and biopsy is invasive and time consuming. In recent years, biomedical photoacoustic imaging and its spectrum analysis has been developing rapidly, which can realize quantitative detection of tissue "fingerprint" because it’s highly sensitive to the information of the molecules, chemistry and function of biological tissue. If being fused with other imaging techniques, real-time tissue composition analysis can be realized in vivo without radiation and ionization. In this paper, based on photoacoustic spectrum analysis at optical dimension and acoustical dimension, the photoacoustic tissue "fingerprints" of some different kinds of tumor have been preliminarily researched, whose quantitative parameters can distinguish tumor, precancerous lesion and normal tissues effectively. This technology is promising to realize high efficient, non-invasive and low-cost screening of tumor at its early-stage.
DOI:10.11684/j.issn.1000-310X.2018.01.013
中文关键词: 光声成像,光声谱,组织“指纹”,早期肿瘤筛查
英文关键词: photoacoustic imaging  photoacoustic spectrum  tissue
基金项目:国家重点研发计划 (2017YFC0111400), 国家自然科学基金项目 (11374231, 11574231, 11674249)
作者单位E-mail
程茜 同济大学物理科学与工程学院声学研究所 q.cheng@tongji.edu.cn 
陈盈娜 同济大学物理科学与工程学院  
张浩南 同济大学物理科学与工程学院  
潘晶 同济大学物理科学与工程学院  
覃 宇 同济大学物理科学与工程学院  
袁 杰 南京大学电子工程系  
封 婷 南京理工大学电子工程与光电技术学院  
吴登龙 同济大学附属同济医院  
徐 冠 同济大学附属同济医院  
王学鼎 同济大学物理科学与工程学院  
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