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    • 3. 发明授权
    • Method for the reduction of image content redundancy in large image databases
    • 降低大图像数据库中图像内容冗余的方法
    • US07672976B2
    • 2010-03-02
    • US11416844
    • 2006-05-03
    • Kenneth William TobinThomas P. Karnowski
    • Kenneth William TobinThomas P. Karnowski
    • G06F17/30
    • G06F17/30256Y10S707/99948
    • A method of increasing information content for content-based image retrieval (CBIR) systems includes the steps of providing a CBIR database, the database having an index for a plurality of stored digital images using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the images. A visual similarity parameter value is calculated based on a degree of visual similarity between features vectors of an incoming image being considered for entry into the database and feature vectors associated with a most similar of the stored images. Based on said visual similarity parameter value it is determined whether to store or how long to store the feature vectors associated with the incoming image in the database.
    • 增加基于内容的图像检索(CBIR)系统的信息内容的方法包括以下步骤:提供CBIR数据库,数据库具有使用多个特征向量的多个存储的数字图像的索引,特征向量对应于不同的 图像的描述特征。 基于考虑进入数据库的输入图像的特征向量与与最近存储的图像相关联的特征向量之间的视觉相似度来计算视觉相似性参数值。 基于所述视觉相似性参数值,确定是否存储或者将与输入图像相关联的特征向量存储在数据库中的时间长度。
    • 8. 发明授权
    • Method and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient data
    • 用于使用视网膜图像内容诊断疾病的诊断方法和系统以及诊断的人类患者数据的归档
    • US08243999B2
    • 2012-08-14
    • US11416834
    • 2006-05-03
    • Kenneth William Tobin, Jr.Thomas P. KarnowskiEdward Chaum
    • Kenneth William Tobin, Jr.Thomas P. KarnowskiEdward Chaum
    • G06K9/00
    • G06K9/0061A61B3/12G06K9/00617
    • A method for diagnosing diseases having retinal manifestations including retinal pathologies includes the steps of providing a CBIR system including an archive of stored digital retinal photography images and diagnosed patient data corresponding to the retinal photography images, the stored images each indexed in a CBIR database using a plurality of feature vectors, the feature vectors corresponding to distinct descriptive characteristics of the stored images. A query image of the retina of a patient is obtained. Using image processing, regions or structures in the query image are identified. The regions or structures are then described using the plurality of feature vectors. At least one relevant stored image from the archive based on similarity to the regions or structures is retrieved, and an eye disease or a disease having retinal manifestations in the patient is diagnosed based on the diagnosed patient data associated with the relevant stored image(s).
    • 用于诊断具有视网膜表现的疾病(包括视网膜病变)的方法包括以下步骤:提供CBIR系统,其包括存储的数字视网膜摄影图像的存档和与视网膜摄影图像相对应的诊断的患者数据,所存储的图像每个索引在CBIR数据库中,使用 多个特征向量,对应于所存储图像的不同描述特征的特征向量。 获得患者视网膜的查询图像。 使用图像处理,识别查询图像中的区域或结构。 然后使用多个特征向量来描述区域或结构。 基于与区域或结构的相似性,归档归档中的至少一个相关的存储图像,并且基于与相关的存储图像相关联的诊断的患者数据来诊断眼病或患者中具有视网膜表现的疾病, 。
    • 10. 发明授权
    • Ultra-high resolution computed tomography imaging
    • 超高分辨率计算机断层成像
    • US06421409B1
    • 2002-07-16
    • US09496879
    • 2000-02-02
    • Michael J. PaulusHamed Sari-SarrafKenneth William Tobin, Jr.Shaun S. GleasonClarence E. Thomas, Jr.
    • Michael J. PaulusHamed Sari-SarrafKenneth William Tobin, Jr.Shaun S. GleasonClarence E. Thomas, Jr.
    • A61B603
    • G01T1/29Y10S378/901
    • A method for ultra-high resolution computed tomography imaging, comprising the steps of: focusing a high energy particle beam, for example x-rays or gamma-rays, onto a target object; acquiring a 2-dimensional projection data set representative of the target object; generating a corrected projection data set by applying a deconvolution algorithm, having an experimentally determined a transfer function, to the 2-dimensional data set; storing the corrected projection data set; incrementally rotating the target object through an angle of approximately 180°, and after each the incremental rotation, repeating the radiating, acquiring, generating and storing steps; and, after the rotating step, applying a cone-beam algorithm, for example a modified tomographic reconstruction algorithm, to the corrected projection data sets to generate a 3-dimensional image. The size of the spot focus of the beam is reduced to not greater than approximately 1 micron, and even to not greater than approximately 0.5 microns.
    • 一种用于超高分辨率计算机断层摄影成像的方法,包括以下步骤:将高能粒子束(例如x射线或γ射线)聚焦到目标物体上; 获取代表目标对象的二维投影数据集; 通过将具有实验确定的传递函数的去卷积算法应用于所述二维数据集来生成校正投影数据集; 存储校正的投影数据集; 逐渐旋转目标物体大约180°的角度,并且在每次增量旋转之后,重复辐射,获取,产生和存储步骤; 并且在旋转步骤之后,将锥束算法(例如修改的断层摄影重建算法)应用于校正的投影数据集以生成三维图像。 光束的焦点尺寸减小到不大于约1微米,甚至不大于约0.5微米。