Lu Guolan, Halig Luma, Wang Dongsheng, Qin Xulei, Chen Zhuo Georgia, Fei Baowei
Georgia Institute of Technology and Emory University, The Wallace H. Coulter Department of Biomedical Engineering, Atlanta, Georgia 30329, United States.
Emory University School of Medicine, Department of Radiology and Imaging Sciences, Atlanta, Georgia 30329, United States.
J Biomed Opt. 2014;19(10):106004. doi: 10.1117/1.JBO.19.10.106004.
Early detection of malignant lesions could improve both survival and quality of life of cancer patients. Hyperspectral imaging (HSI) has emerged as a powerful tool for noninvasive cancer detection and diagnosis, with the advantage of avoiding tissue biopsy and providing diagnostic signatures without the need of a contrast agent in real time. We developed a spectral-spatial classification method to distinguish cancer from normal tissue on hyperspectral images. We acquire hyperspectral reflectance images from 450 to 900 nm with a 2-nm increment from tumor-bearing mice. In our animal experiments, the HSI and classification method achieved a sensitivity of 93.7% and a specificity of 91.3%. The preliminary study demonstrated that HSI has the potential to be applied in vivo for noninvasive detection of tumors.
早期发现恶性病变可提高癌症患者的生存率和生活质量。高光谱成像（HSI）已成为一种用于非侵入性癌症检测和诊断的强大工具，其优点是无需组织活检，并能实时提供无需造影剂的诊断特征。我们开发了一种光谱-空间分类方法，用于在高光谱图像上区分癌症组织和正常组织。我们从荷瘤小鼠身上获取了450至900nm的高光谱反射图像，波长增量为2nm。在我们的动物实验中，HSI和分类方法的灵敏度达到了93.7%，特异性达到了91.3%。初步研究表明，HSI有潜力应用于体内肿瘤的非侵入性检测。
