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1. 发明授权

US08351667B2 Methods of contrast enhancement for images having blood vessel structures 失效
标题翻译：具有血管结构的图像的对比度增强方法
公开(公告)号：US08351667B2
公开(公告)日：2013-01-08
申请号：US12228739
申请日：2008-08-15
申请人： Wenjing Li , Sankar Venkataraman , Ulf Gustafsson , John Taylor Hargrove
发明人： Wenjing Li , Sankar Venkataraman , Ulf Gustafsson , John Taylor Hargrove
IPC分类号： G06K9/18
CPC分类号： G06T5/30 , G06T5/009 , G06T2207/30004 , G06T2207/30068
摘要： A method of contrast enhancement for improved visualization of diagnostically important tissue structures, such as blood vessels. A texture analysis algorithm is applied to identify regions with a high likelihood of disease. Mathematical morphology operations are applied to identify areas of high and low brightness (intensity). The low intensity areas are then subtracted, and controllably variable amounts of the high intensity areas are added, controlled by a selectable tuning parameter, to produce an image with controllably variable visualization enhancement.
摘要翻译：一种对比度增强的方法，用于改善诊断上重要的组织结构如血管的可视化。应用纹理分析算法识别疾病可能性高的地区。应用数学形态学操作来识别高亮度和低亮度（强度）的区域。然后减去低强度区域，并且通过可选择的调谐参数来控制可变量的高强度区域，以产生具有可控地可变的可视化增强的图像。

2. 发明授权

US08090424B2 Method and apparatus for glucose level detection 失效
标题翻译：葡萄糖水平检测方法和装置
公开(公告)号：US08090424B2
公开(公告)日：2012-01-03
申请号：US11330406
申请日：2006-01-10
申请人： Dale E. Winther , Liming Wang , Runchuan Zhao
发明人： Dale E. Winther , Liming Wang , Runchuan Zhao
IPC分类号： A61B5/1455
CPC分类号： A61B5/14532
摘要： An apparatus for determine a glucose level having a calibration module; an image acquisition module; an image compensation module; and, a dynamic pattern matching module. A method using the apparatus is also described.
摘要翻译：一种用于确定具有校准模块的葡萄糖水平的装置; 图像采集模块; 图像补偿模块; 和动态模式匹配模块。还描述了使用该装置的方法。

3. 发明授权

US08090177B2 Methods for detection and characterization of atypical vessels in cervical imagery 失效
标题翻译：宫颈图像中非典型血管的检测和表征方法
公开(公告)号：US08090177B2
公开(公告)日：2012-01-03
申请号：US12221328
申请日：2008-08-01
申请人： Sankar Venkataraman , Wenjing Li , Ulf Peter Gustafsson
发明人： Sankar Venkataraman , Wenjing Li , Ulf Peter Gustafsson
IPC分类号： G06K9/00
CPC分类号： A61B5/02007 , A61B1/00009 , A61B5/0084 , G06T7/0012 , G06T7/11 , G06T2207/30096 , G06T2207/30101
摘要： The present invention discloses a method for the detection of atypical vessels in digital cervical imagery. A pre-processing stage is applied to enhance the contrast of blood vessel features compared to the surrounding tissue. Next, a segmentation stage is applied to identify regions of interest for atypical vessels using texture and gradient information. Finally, a post-processing stage (1) identifies other clinically relevant features in the cervical imager, and removes these features from the region of interest; and (2) uses color, size, and shape information to further refine the region of interest to eliminate false positives and determine a final region of interest. This automated method of atypical vessel detection is especially useful for diagnostic purposes such as cervical cancer detection.
摘要翻译：本发明公开了一种检测数字宫颈图像中非典型血管的方法。应用预处理阶段来增强与周围组织相比的血管特征的对比度。接下来，使用分割阶段来使用纹理和梯度信息来识别非典型血管的感兴趣区域。最后，后处理阶段（1）识别子宫颈成像仪中的其他临床相关特征，并从感兴趣区域中去除这些特征; 和（2）使用颜色，大小和形状信息进一步细化感兴趣的区域以消除假阳性，并确定最终感兴趣的区域。这种非典型血管检测的自动化方法对于诸如宫颈癌检测的诊断目的尤其有用。

4. 发明申请

US20110274338A1 Image analysis for cervical neoplasia detection and diagnosis 失效
标题翻译：宫颈肿瘤检测和诊断的图像分析
公开(公告)号：US20110274338A1
公开(公告)日：2011-11-10
申请号：US13068188
申请日：2011-05-03
申请人： Sun Young Park , Dustin Sargent , Ulf Peter Gustafsson
发明人： Sun Young Park , Dustin Sargent , Ulf Peter Gustafsson
IPC分类号： G06K9/00
CPC分类号： G06K9/6284 , A61B5/4331 , G06K9/6297 , G06T7/0012 , G06T2207/10012 , G06T2207/10016 , G06T2207/10024 , G06T2207/20076 , G06T2207/30096
摘要： The present invention is an automated image analysis framework for cervical cancerous lesion detection. The present invention uses domain-specific diagnostic features in a probabilistic manner using conditional random fields. In addition, the present invention discloses a novel window-based performance assessment scheme for two-dimensional image analysis, which addresses the intrinsic problem of image misalignment. As a domain-specific anatomical feature, image regions corresponding to different tissue types are extracted from cervical images taken before and after the application of acetic acid during a clinical exam. The unique optical properties of each tissue type and the diagnostic relationships between neighboring regions are incorporated in the conditional random field model. The output provides information about both the tissue severity and the location of cancerous tissue in an image.
摘要翻译：本发明是用于宫颈癌性病变检测的自动图像分析框架。本发明以概率方式使用条件随机场来使用特定领域的诊断特征。另外，本发明公开了一种用于二维图像分析的新颖的基于窗口的性能评估方案，其解决了图像未对准的固有问题。作为区域特异性解剖特征，在临床检查期间，在应用乙酸之前和之后从宫颈图像中提取对应于不同组织类型的图像区域。每个组织类型的独特光学性质和相邻区域之间的诊断关系被并入条件随机场模型中。输出提供关于组织严重性和图像中癌组织位置的信息。

5. 发明申请

US20100026785A1 High resolution digital video colposcope with built-in polarized LED illumination and computerized clinical data management system 失效
标题翻译：高分辨率数字视频阴道镜，内置偏光LED照明和电脑临床数据管理系统
公开(公告)号：US20100026785A1
公开(公告)日：2010-02-04
申请号：US12291890
申请日：2008-11-14
申请人： Marcelo Esteban Soto-Thompson , Andrew Beaumont Whitesell , Ulf Peter Gustafsson
发明人： Marcelo Esteban Soto-Thompson , Andrew Beaumont Whitesell , Ulf Peter Gustafsson
IPC分类号： H04N13/02
CPC分类号： A61B1/042 , A61B1/00186 , A61B1/0607 , A61B1/0646 , A61B1/0684 , A61B1/303 , A61B5/0084 , G06F19/00
摘要： This invention uses LEDs and cross-polarization to produce bright, high-resolution digital images, both with and without glint (which adversely affects the clarity of standard colposcopic images), as well as streaming video at lower resolution. The invention allows for deeper layers of the tissue to be more efficiently visualized at multiple magnifications, thereby enhancing the invention's diagnostic capabilities, and it includes a focusing subsystem and a computerized data management system to archive and annotate still image data.
摘要翻译：本发明使用LED和交叉极化来产生明亮，高分辨率的数字图像，无论是否具有闪烁（其对标准阴道镜图像的清晰度有不利影响），以及较低分辨率的流视频。本发明允许在多个放大倍率下更有效地可视化组织的较深层，从而增强本发明的诊断能力，并且其包括聚焦子系统和计算机化的数据管理系统以对静止图像数据进行归档和注释。

6. 发明申请

US20100025566A1 Single spot focus control 失效
标题翻译：单点聚焦控制
公开(公告)号：US20100025566A1
公开(公告)日：2010-02-04
申请号：US12221267
申请日：2008-07-31
申请人： John Taylor Hargrove , Ulf Peter Gustafsson
发明人： John Taylor Hargrove , Ulf Peter Gustafsson
IPC分类号： G02B7/04
CPC分类号： G02B7/32
摘要： The present invention discloses methods and systems for improved focusing of imaging systems for the acquisition of high-quality focused tissue image data. A light emitter (L) aims a focusing light beam (FLB) towards an object of interest (O) so that the focusing light beam (FLB) is at an angle relative to the optical axis (OA) of the imager (I). If the object of interest (O) is out of focus, the focusing light spot (FLS) will appear above or below the focal point in the image (I). The pixel difference between the center of the focusing light spot (FLS) and the focal point indicates the range adjustment value. The range between the imager (I) and the object of interest (O) can then be adjusted according to the range adjustment value using a lookup table or calculations.
摘要翻译：本发明公开了用于改进用于获取高质量聚焦组织图像数据的成像系统的聚焦的方法和系统。光发射器（L）将聚焦光束（FLB）朝向感兴趣物体（O）瞄准，使得聚焦光束（FLB）相对于成像器（I）的光轴（OA）成一定角度。如果感兴趣的对象（O）不对焦，则聚焦光点（FLS）将出现在图像（I）中的焦点上方或下方。聚焦光点（FLS）的中心与焦点之间的像素差表示范围调整值。然后可以使用查找表或计算根据范围调整值来调整成像器（I）和感兴趣对象（O）之间的范围。

7. 发明申请

US20080226147A1 Method to provide automated quality feedback to imaging devices to achieve standardized imaging data 失效
标题翻译：为成像设备提供自动质量反馈以实现标准化成像数据的方法
公开(公告)号：US20080226147A1
公开(公告)日：2008-09-18
申请号：US12075890
申请日：2008-03-14
申请人： John Hargrove , Jia Gu , Wenjing Li , Rolf Holger Wolters
发明人： John Hargrove , Jia Gu , Wenjing Li , Rolf Holger Wolters
IPC分类号： G06K9/00
CPC分类号： G06T5/40 , A61B5/0084 , G06K9/4652 , G06T5/007 , G06T5/50 , G06T7/0002 , G06T2207/10016 , G06T2207/10024 , G06T2207/10152 , G06T2207/30004 , G06T2207/30168
摘要： Automated image quality assessment algorithms, which perform the functions of locating a region of interest, maximizing the image contrast, and ensuring the region of interest is properly centered in the image. Wherein the region of interest is located by spectral matching filter using a target spectrum obtained from samples of the image itself.
摘要翻译：自动图像质量评估算法，其执行定位感兴趣区域的功能，最大化图像对比度，并确保感兴趣的区域在图像中适当地居中。其中通过使用从图像本身的样本获得的目标光谱的光谱匹配滤波器来定位感兴趣区域。

8. 发明申请

US20090034824A1 Computerized image analysis for acetic acid induced Cervical Intraepithelial Neoplasia 失效
标题翻译：乙酸诱导宫颈上皮内瘤变的电脑图像分析
公开(公告)号：US20090034824A1
公开(公告)日：2009-02-05
申请号：US12221645
申请日：2008-08-04
申请人： Wenjing Li , Rolf Holger Wolters
发明人： Wenjing Li , Rolf Holger Wolters
IPC分类号： G06K9/00
CPC分类号： G06K9/4652 , G06T7/0012 , G06T7/11 , G06T7/174 , G06T2207/10024 , G06T2207/20041 , G06T2207/30096
摘要： A method for differentiating cancerous lesions from surrounding tissue, which includes extracting an opacity parameter from acetowhite regions of pre acetic acid and post acetic acid images of a cervix.
摘要翻译：一种用于将癌变病变与周围组织分离的方法，其包括从乙酸的乙酸钠区域和子宫颈的后乙酸图像中提取不透明度参数。

9. 发明申请

US20080226148A1 Method of image quality assessment to produce standardized imaging data 失效
标题翻译：图像质量评估方法来制作标准化成像数据
公开(公告)号：US20080226148A1
公开(公告)日：2008-09-18
申请号：US12075910
申请日：2008-03-14
申请人： Jia Gu , Wenjing Li , John Hargrove , Rolf Holger Wolters
发明人： Jia Gu , Wenjing Li , John Hargrove , Rolf Holger Wolters
IPC分类号： G06K9/00 , G06K9/40
CPC分类号： G06T5/40 , A61B5/0084 , G06K9/4652 , G06T5/007 , G06T5/50 , G06T7/0002 , G06T2207/10016 , G06T2207/10024 , G06T2207/10152 , G06T2207/30004 , G06T2207/30168
摘要： Automated image quality assessment methods, which include locating a region of interest, region assessment, contrast assessment, blur assessment, and contaminant detection, on video data and high-resolution imagery. Where the blur assessment is performed without a reference image by dividing the region into non-overlapping block, measuring the wavenumber frequency of the blocks and calculating the ratio of the low frequency to high frequency areas.
摘要翻译：自动图像质量评估方法，包括定位感兴趣区域，区域评估，对比度评估，模糊评估和污染物检测，对视频数据和高分辨率图像。在通过将区域划分为非重叠块来进行模糊评估而不参考图像的情况下，测量块的波数频率并计算低频到高频区域的比率。

10. 发明授权

US08503747B2 Image analysis for cervical neoplasia detection and diagnosis 失效
标题翻译：宫颈肿瘤检测和诊断的图像分析
公开(公告)号：US08503747B2
公开(公告)日：2013-08-06
申请号：US13068188
申请日：2011-05-03
申请人： Sun Young Park , Dustin Sargent , Ulf Peter Gustafsson
发明人： Sun Young Park , Dustin Sargent , Ulf Peter Gustafsson
IPC分类号： G06K9/00 , A61B6/00
CPC分类号： G06K9/6284 , A61B5/4331 , G06K9/6297 , G06T7/0012 , G06T2207/10012 , G06T2207/10016 , G06T2207/10024 , G06T2207/20076 , G06T2207/30096
摘要： The present invention is an automated image analysis framework for cervical cancerous lesion detection. The present invention uses domain-specific diagnostic features in a probabilistic manner using conditional random fields. In addition, the present invention discloses a novel window-based performance assessment scheme for two-dimensional image analysis, which addresses the intrinsic problem of image misalignment. As a domain-specific anatomical feature, image regions corresponding to different tissue types are extracted from cervical images taken before and after the application of acetic acid during a clinical exam. The unique optical properties of each tissue type and the diagnostic relationships between neighboring regions are incorporated in the conditional random field model. The output provides information about both the tissue severity and the location of cancerous tissue in an image.
摘要翻译：本发明是用于宫颈癌性病变检测的自动图像分析框架。本发明以概率方式使用条件随机场来使用特定领域的诊断特征。另外，本发明公开了一种用于二维图像分析的新颖的基于窗口的性能评估方案，其解决了图像未对准的固有问题。作为区域特异性解剖特征，在临床检查期间，在应用乙酸之前和之后从宫颈图像中提取对应于不同组织类型的图像区域。每个组织类型的独特光学性质和相邻区域之间的诊断关系被并入条件随机场模型中。输出提供关于组织严重性和图像中癌组织位置的信息。

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