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    Hyperspectral imaging calibration device
    1.
    发明授权
    Hyperspectral imaging calibration device 有权
    高光谱成像校准装置

    公开(公告)号：US06810279B2

    公开(公告)日：2004-10-26

    申请号：US09986105

    申请日：2001-11-07

    Applicant: James R. Mansfield ,  Jenny E. Freeman ,  Michael E. Leventon ,  Michael J. Hopmeier ,  Derek Brand

    Inventor： James R. Mansfield ,  Jenny E. Freeman ,  Michael E. Leventon ,  Michael J. Hopmeier ,  Derek Brand

    IPC: A61B505

    CPC classification number: G01J3/2823 ,  G01J3/28 ,  G01J2003/2866

    Abstract: Hyperspectral imaging calibration devices and methods for their use are described that generate images of three dimensional samples. A calibration device may assume the shape of a desired imaging sample such as a body part and may be sterile prior to placement. The calibration device may include openings or may be modified to expose a region of the sample during use. Spectral images, typically obtained at multiple wavelengths, are made of the calibration device. Algorithms are provided that utilize the spectral images of the calibration device to determine the effects of lighting conditions and sample shape on the sample image to form a calibrated image. Calibrated images produced by these devices and methods can provide information, including clinical data that are less sensitive to lighting and sample shape compared to alternative technologies.

    Abstract translation: 描述了用于生成三维样本图像的高光谱成像校准装置及其使用方法。 校准装置可以呈现期望的成像样品的形状，例如身体部位，并且可以在放置之前是无菌的。 校准装置可以包括开口，或者可以被修改以在使用期间暴露样品的区域。 通常在多个波长下获得的光谱图像由校准装置制成。 提供了利用校准装置的光谱图像来确定照明条件和样品形状对样品图像的影响以形成校准图像的算法。 通过这些设备和方法生成的校准图像可以提供信息，包括与替代技术相比对照明和样品形状不太敏感的临床数据。

    Non-invasive screening of skin diseases by visible/near-infrared spectroscopy
    2.
    发明授权
    Non-invasive screening of skin diseases by visible/near-infrared spectroscopy 有权
    通过可见/近红外光谱对皮肤疾病进行非侵入性筛查

    公开(公告)号：US07280866B1

    公开(公告)日：2007-10-09

    申请号：US10089314

    申请日：2000-10-05

    Applicant: Laura M. McIntosh ,  Michael Jackson ,  Henry Mantsch, II ,  James R. Mansfield ,  A. Neil Crowson ,  John W. P. Toole

    Inventor： Laura M. McIntosh ,  Michael Jackson ,  Henry Mantsch, II ,  James R. Mansfield ,  A. Neil Crowson ,  John W. P. Toole

    IPC: A61B5/00

    CPC classification number: A61B5/445 ,  A61B5/0075 ,  A61B5/444 ,  A61B5/7264 ,  G01N21/31 ,  G01N21/359 ,  G01N2021/3155 ,  G01N2201/129

    Abstract: A non-invasive tool for skin disease diagnosis would be a useful clinical adjunct. The purpose of this study was to determine whether visible/near-infrared spectroscopy can be used to non-invasively characterize skin diseases. In-vivo visible- and near-infrared spectra (400-2500 nm) of skin neoplasms (actinic keratoses, basal cell carcinomata, banal common acquired melanocytic nevi, dysplastic melanocytic nevi, actinic lentigines and seborrheic keratoses) were collected by placing a fiber optic probe on the skin. Paired t-tests, repeated measures analysis of variance and linear discriminant analysis were used to determine whether significant spectral differences existed and whether spectra could be classified according to lesion type. Paired t-tests showed significant differences (p

    Abstract translation: 用于皮肤疾病诊断的非侵入性工具将是一种有用的临床辅助手段。 这项研究的目的是确定是否可以使用可见/近红外光谱来非侵入性地表征皮肤疾病。 通过放置光学纤维素收集体内可见光和近红外光谱（400-2500nm）的皮肤肿瘤（光化性角化病，基底细胞癌，平凡的获得性黑素细胞痣，发育不良的黑素细胞痣，光化性斑点和脂溢性角化病） 探测皮肤。 配对t检验，重复测量方差分析和线性判别分析用于确定是否存在显着的光谱差异，以及是否可以根据病变类型对光谱进行分类。 配对t检验显示在可见/近红外光谱的几个区域的正常皮肤和皮肤损伤之间显着差异（p <0.05）。 此外，通过方差分析发现病变组之间存在显着差异。 线性判别分析将良性病变的光谱与恶性或恶性病变相比较，准确度高。 可见/近红外光谱仪是用于筛选皮肤疾病的有希望的非侵入性技术。

    Diagnosis of rheumatoid arthritis in vivo using a novel spectroscopic approach
    3.
    发明授权
    Diagnosis of rheumatoid arthritis in vivo using a novel spectroscopic approach 失效
    使用新的光谱方法在体内诊断类风湿关节炎

    公开(公告)号：US06424859B2

    公开(公告)日：2002-07-23

    申请号：US09334661

    申请日：1999-06-17

    Applicant: Michael Jackson ,  Michael G. Sowa ,  James R. Mansfield ,  Hans H. Eysel ,  Henry H. Mantsch ,  Hani El-Gabalawy ,  Jan M. Canvin

    Inventor： Michael Jackson ,  Michael G. Sowa ,  James R. Mansfield ,  Hans H. Eysel ,  Henry H. Mantsch ,  Hani El-Gabalawy ,  Jan M. Canvin

    IPC: A61B600

    CPC classification number: G01N21/49 ,  A61B5/0059 ,  A61B5/4528 ,  A61B5/7267 ,  G01N21/359

    Abstract: A novel near infrared spectroscopic technique was used to characterize the joints in arthritis with comparison against normal joints. A beam of near infrared light was passed to joints through a fibre optic cable. Scattered light was collected by the same fibre bundle and a spectrum of the joint computed. Multivariate pattern recognition techniques identified regions of the spectrum which allowed discrimination between healthy and affected joints. Linear discriminant analysis resulted in correct classification of 74% of the joints. The high degree of similarity between mean spectra representing the early, late and control groups along with the significant between—subject variability in the data make diagnosis based on visual assessment of the spectra impossible. Linear discriminant analysis was therefore applied to spectra to determine if spectra could be classified by statistical methods as arising from early or late RA. Application of LDA resulted in correct classification of 74% of the joints. Interestingly, the spectral regions in which diagnostic differences were found by the multivariate analysis contain absorption bands related to tissue oxygenation status (oxy and deoxyhaemoglobin) and oxygen utilisation (cytochrome aa3), suggesting that ischaemic changes within the joint are being detected.

    Abstract translation: 与正常关节相比，使用新型近红外光谱技术来表征关节炎关节。 一束近红外光通过光缆传递到接头。 散射光被相同的纤维束收集，并计算出关节的光谱。 多变量模式识别技术确定了允许区分健康和受影响关节的频谱区域。 线性判别分析导致74％关节的正确分类。 表示早期，晚期和对照组的平均光谱之间的高度相似性以及数据中显着的受试者间变异性，基于对光谱的视觉评估不可能进行诊断。 因此，将线性判别分析应用于光谱，以确定是否可以通过统计学方法将光谱分类为早期或晚期RA引起的。 LDA的应用导致74％的关节正确分类。 有趣的是，通过多变量分析发现诊断差异的光谱区域包含与组织氧合状态（氧和脱氧血红蛋白）和氧利用（细胞色素aa3）相关的吸收带，表明正在检测到关节内的缺血性变化。

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