基于全场光学相干层析术的手术间快速诊断方法研究
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摘要
手术间计算机辅助快速诊断对于临床实践具有重要的意义。本文首先分析了利用全场光学相干层析系统(Full-Field Optical Coherence Tomography,FFOCT)得到的光学断层图像的组织特征,以确定诊断要识别的目标。其次,利用数字图像处理技术,提出了一种全场光学断层图像的计算机自动识别方法。最后,利用实验室搭建的FFOCT系统得到洋葱表皮细胞断层图像,做识别测试,并与其他类似的识别方法做了比较,验证了本文方法的精确性与识别速度,为实现FFOCT系统的手术间快速诊断提供了一种新途径。
The computer-aided intra-surgery rapid diagnosis is of great importance for clinic practice.In this work,the tissue characteristics of optical tomographic images obtained by full-field optical coherence tomography(FFOCT)are first analyzed in order to determine targets to be identified.An automatic diagnosis method of optical tomographic images obtained by FFOCT system is then proposed by using digital image processing technology.Finally,we obtain onion epidermal cell tomographic images using FFOCT system set up in our laboratory and test the capability of the method,and a comparison with other similar recognition methods is carried out to demonstrate the accuracy and speed of this method.The method supplies a new approach for the intra-surgery rapid diagnosis applications of FFOCT images.
The computer-aided intra-surgery rapid diagnosis is of great importance for clinic practice.In this work,the tissue characteristics of optical tomographic images obtained by full-field optical coherence tomography(FFOCT)are first analyzed in order to determine targets to be identified.An automatic diagnosis method of optical tomographic images obtained by FFOCT system is then proposed by using digital image processing technology.Finally,we obtain onion epidermal cell tomographic images using FFOCT system set up in our laboratory and test the capability of the method,and a comparison with other similar recognition methods is carried out to demonstrate the accuracy and speed of this method.The method supplies a new approach for the intra-surgery rapid diagnosis applications of FFOCT images.
引文
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[20]LI Li-li.Fuzzy C-means algorithm and its application in image segmentation[D].Jinan:Shandong Normal University,2009,1-4.李丽丽.模糊C-均值聚类算法及其在图像分割中的应用[D].济南:山东师范大学,2009,1-4.
[21]ZHANG Xiao-qin.Edge detection method based on canny algorithm and mathematical morphology[J].Journal of Biomedical Engineering Research,2009,28(4):275-279.张小琴.基于Canny算子与数学形态学的细胞边缘提取[J].生物医学工程研究,2009,28(4):275-279.
[22]JIANG Bai-ning.Research on feature selection algorithms in machine learning[D].Qingdao:Ocean University of China,2009,1-6.姜百宁.机器学习中的特征选择算法研究[D].青岛:中国海洋大学,2009,1-6.
[23]Rafael C.Gonzalez,Richard E.Woods,Ruan Qiuqi.Digital image processing,third edition[M].Beijing:Publishing House of electronics industry,2011,402-570.Rafael C.Gonzalez,Richard E.Woods,阮秋琦.数字图像处理(第三版)[M].北京:电子工业出版社,2011,402-570.
[24]LI Hang.Statistical learning method[M].Beijing:Tsinghua University Press,2012.李航.统计学习方法[M].北京:清华大学出版社,2012.
[2]YANG Ya-liang.Developmen of full-field optical coherence tomography system[J].Acta Physica Sinica,2009,58(3):1773-1778.杨亚良.全场光学相干层析成像系统的研制[J].物理学报,2009,58(3):1773-1778.
[3]ZHU Yue,GAO Wan-rong.Imaging of liver biopsy cells with full-field optical coherence tomography[J].Science and Technology Review,2014,32(34):33-36.朱越,高万荣.基于全场光学相干层析术的猪肝组织亚细胞成像[J].科技导报,2014,32(34):33-36.
[4]ZHU Yue,GAO Wan-rong.High-resolution full-field optical coherence tomography for biological tissue[J].Chinese Journal of Lasers,2014,41(8):0804002.朱越,高万荣.全场高分辨生物组织光学层析成像[J].中国激光,2014,41(8):0804002.
[5]GUO Xuan.Research on automated detection of pulmonary nodules based on chest X-ray images[D].Chengdu:University of Electronic Science and Technology of China,2014,1-78.郭璇.基于胸片的肺部结节自动检测方法研究[D].成都:电子科技大学,2014,1-78.
[6]YAO Li-jun.Algorithm for automatic detection of colon cancer[D].Hangzhou:Zhejiang University of Technology,2015,1-6.尧丽君.肠癌计算机辅助识别算法的研究[D].浙江工业大学,2015,1-6.
[7]LIU Ying-qin.Cancer cell identification based on circular harmonic with support vector machines[J].Journal of Taiyuan University of science and technology,2013,34(5):372-377.刘应钦.基于圆谐-傅里叶矩与支持向量机的癌细胞识别[J].太原科技大学学报,2013,34(5):372-377.
[8]Research on pathological image segmentation[D].Nanjing:Southeast University,2017,44-50.细胞病理图像分割算法研究[D].南京:东南大学,2017,44-50.
[9]ZHAO Guo-chao.Feature extraction and recognition of cancer cell image based on the analysis of nuclei[D].Wuhan:Wuhan University of Technology,2013,4-16.赵国超.基于细胞核分析的癌细胞图像特征提取与识别[D].武汉:武汉理工大学,2013,4-16.
[10]ZHU Yue,GAO Wan-rong,ZHOU Yuan,et al.Rapid and high-resolution imaging of human liver specimens by fullfield optical coherence tomography[J].Journal of Biomedical Optics,2015,20(11):116010-1—7.
[11]WANG Qi.Application of snakes model in pulmonary nodule detection[D].Suzhou:Soochow University,2013,1-65.王奇.基于Snake模型的肺结节图像处理[D].苏州:苏州大学,2013,1-65.
[12]Manu Jain.Full-field optical coherence tomography for the analysis of fresh unstained human lobectomy specimens[J].Journal of Pathology Informatics,2013,4:26.
[13]Manu Jain.Rapid evaluation of fresh ex vivo kidney tissue with full-field optical coherence tomography[J].Journal of Pathology Informatics,2015,6:53.
[14]GAO Wan-rong,ZHU Yue-zhu.Fractal analysis of en face tomographic images obtained with full field optical coherence tomography[J].Annalen der Physik,2017,529(3):1600216.
[15]GAO Wan-rong.Fourier spectrum analysis of full-field optical coherence tomography for tissue imaging[J].Proc.R.Soc.A.,2015,471(2179),20150099.
[16]GAO Wan-rong.Effects of temporal and spatial coherence on resolution in full-field optical coherence tomography[J].J.Mod.Opt.,Journal of Modern Optics,2015,62(21):1764-1774.
[17]LJ Jin.Research and realization of cancer cell recognition technology based on image processing[J].Journal of Yulin University,2009,19(6):33-36.厉谨.基于数字图像处理的癌变细胞识别方法研究[J].榆林学院学报,2009,19(6):33-36.
[18]Zhu Hong.Digital image processing basics[M].Beijing:Science Press,2005,1-166.朱虹.数字图像处理基础[M].北京:科学出版社,2005,1-166.
[19]CHEN Ai-bin.Survey:the research method of cells segmentation algorithm[J].China Academic Journal Electronic Publishing House,2011.陈爱斌.细胞分割算法研究方法综述[J].电子世界,2011.
[20]LI Li-li.Fuzzy C-means algorithm and its application in image segmentation[D].Jinan:Shandong Normal University,2009,1-4.李丽丽.模糊C-均值聚类算法及其在图像分割中的应用[D].济南:山东师范大学,2009,1-4.
[21]ZHANG Xiao-qin.Edge detection method based on canny algorithm and mathematical morphology[J].Journal of Biomedical Engineering Research,2009,28(4):275-279.张小琴.基于Canny算子与数学形态学的细胞边缘提取[J].生物医学工程研究,2009,28(4):275-279.
[22]JIANG Bai-ning.Research on feature selection algorithms in machine learning[D].Qingdao:Ocean University of China,2009,1-6.姜百宁.机器学习中的特征选择算法研究[D].青岛:中国海洋大学,2009,1-6.
[23]Rafael C.Gonzalez,Richard E.Woods,Ruan Qiuqi.Digital image processing,third edition[M].Beijing:Publishing House of electronics industry,2011,402-570.Rafael C.Gonzalez,Richard E.Woods,阮秋琦.数字图像处理(第三版)[M].北京:电子工业出版社,2011,402-570.
[24]LI Hang.Statistical learning method[M].Beijing:Tsinghua University Press,2012.李航.统计学习方法[M].北京:清华大学出版社,2012.