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1. 发明授权

US06795521B2 Computer-aided diagnosis system for thoracic computer tomography images 失效
标题翻译：胸部计算机断层扫描图像的计算机辅助诊断系统
公开(公告)号：US06795521B2
公开(公告)日：2004-09-21
申请号：US10214464
申请日：2002-08-08
申请人： Li-Yueh Hsu , Fleming Y.-M. Lure , Ruiping Li , Xin-Wei Xu , Jyh-Shyan Lin , Edward A. Martello , H.-Y. Michael Yeh
发明人： Li-Yueh Hsu , Fleming Y.-M. Lure , Ruiping Li , Xin-Wei Xu , Jyh-Shyan Lin , Edward A. Martello , H.-Y. Michael Yeh
IPC分类号： A61B603
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/136 , G06T2207/10081 , G06T2207/20156 , G06T2207/30064 , Y10S378/901
摘要： A method of detecting and analyzing abnormalities, like lung nodules, in thoracic computer tomography (CT) images uses digital image processing techniques and adaptive computing methods. The techniques include an automatic detection process to detect candidate abnormalities, an image matching process to match CT slices from two different CT scans, and a measurement process that determines parameters of the candidate abnormalities. Final results and processed CT images are displayed on a user interface.
摘要翻译：胸部计算机断层扫描（CT）图像中检测和分析异常（如肺结节）的方法使用数字图像处理技术和自适应计算方法。这些技术包括检测候选异常的自动检测过程，用于匹配来自两个不同CT扫描的CT切片的图像匹配处理以及确定候选异常的参数的测量处理。最终结果和经处理的CT图像显示在用户界面上。

2. 发明授权

US07903855B2 Computer aided diagnosis using dual energy subtraction images 有权
标题翻译：计算机辅助诊断采用双能量减影图像
公开(公告)号：US07903855B2
公开(公告)日：2011-03-08
申请号：US11850868
申请日：2007-09-06
申请人： Jyh-Shyan Lin , Ruiping Li , Fleming Y.-M. Lure , Edward A. Martello , Tong Wei , Rujirutana Srikanchana , Hui Zhao , Xin-Wei Xu
发明人： Jyh-Shyan Lin , Ruiping Li , Fleming Y.-M. Lure , Edward A. Martello , Tong Wei , Rujirutana Srikanchana , Hui Zhao , Xin-Wei Xu
IPC分类号： G06K9/00 , G01N23/06
CPC分类号： G06T7/0012 , A61B6/482 , G06T5/50 , G06T7/11 , G06T2207/10116 , G06T2207/20016 , G06T2207/20084 , G06T2207/20221 , G06T2207/30008 , G06T2207/30064
摘要： Computer-aided diagnosis techniques may be combined with dual-energy radiography techniques to provide enhanced computer-aided diagnosis of, for example, lung nodules.
摘要翻译：计算机辅助诊断技术可以与双能量摄影技术相结合，以提供例如肺结节的增强的计算机辅助诊断。

3. 发明申请

US20080212853A1 Computer Aided Diagnosis Using Dual Energy Subtraction Images 有权
标题翻译：使用双能量减影图像的计算机辅助诊断
公开(公告)号：US20080212853A1
公开(公告)日：2008-09-04
申请号：US11850868
申请日：2007-09-06
申请人： Jyh-Shyan Lin , Ruiping Li , Fleming Y.-M. Lure , Edward A. Martello , Tong Wei , Rujirutana Srikanchana , Hui Zhao , Xin-Wei Xu
发明人： Jyh-Shyan Lin , Ruiping Li , Fleming Y.-M. Lure , Edward A. Martello , Tong Wei , Rujirutana Srikanchana , Hui Zhao , Xin-Wei Xu
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , A61B6/482 , G06T5/50 , G06T7/11 , G06T2207/10116 , G06T2207/20016 , G06T2207/20084 , G06T2207/20221 , G06T2207/30008 , G06T2207/30064
摘要： Computer-aided diagnosis techniques may be combined with dual-energy radiography techniques to provide enhanced computer-aided diagnosis of, for example, lung nodules.
摘要翻译：计算机辅助诊断技术可以与双能量摄影技术相结合，以提供例如肺结节的增强的计算机辅助诊断。

4. 发明申请

US20110164802A1 COMPUTER AIDED DIAGNOSIS USING DERIVED IMAGES 失效
标题翻译：使用衍生图像的计算机辅助诊断
公开(公告)号：US20110164802A1
公开(公告)日：2011-07-07
申请号：US13042748
申请日：2011-03-08
申请人： Jyh-Shyan Lin , Ruiping Li , Fleming Lure , Edward A. Martello , Tong Wei , Rujirutana Srikanchana , Hui Zhao , Xin-Wei Xu
发明人： Jyh-Shyan Lin , Ruiping Li , Fleming Lure , Edward A. Martello , Tong Wei , Rujirutana Srikanchana , Hui Zhao , Xin-Wei Xu
IPC分类号： G06K9/00
CPC分类号： G06T7/0012 , A61B6/482 , G06T5/50 , G06T7/11 , G06T2207/10116 , G06T2207/20016 , G06T2207/20084 , G06T2207/20221 , G06T2207/30008 , G06T2207/30064
摘要： Computer-aided diagnosis techniques may be combined with techniques to obtain derived images from radiographic images to provide enhanced computer-aided diagnosis of, for example, lung nodules.
摘要翻译：计算机辅助诊断技术可以与从放射照相图像获得衍生图像的技术相结合，以提供例如肺结节的增强的计算机辅助诊断。

5. 发明授权

US08160335B2 Computer aided diagnosis using derived images 失效
标题翻译：计算机辅助诊断采用派生图像
公开(公告)号：US08160335B2
公开(公告)日：2012-04-17
申请号：US13042748
申请日：2011-03-08
申请人： Jyh-Shyan Lin , Ruiping Li , Fleming Lure , Edward A. Martello , Tong Wei , Rujirutana Sriikanchana , Hui Zhao , Xin-Wei Xu
发明人： Jyh-Shyan Lin , Ruiping Li , Fleming Lure , Edward A. Martello , Tong Wei , Rujirutana Sriikanchana , Hui Zhao , Xin-Wei Xu
IPC分类号： G06K9/00 , G01N23/06
CPC分类号： G06T7/0012 , A61B6/482 , G06T5/50 , G06T7/11 , G06T2207/10116 , G06T2207/20016 , G06T2207/20084 , G06T2207/20221 , G06T2207/30008 , G06T2207/30064
摘要： Computer-aided diagnosis techniques may be combined with techniques to obtain derived images from radiographic images to provide enhanced computer-aided diagnosis of, for example, lung nodules.
摘要翻译：计算机辅助诊断技术可以与从放射照相图像获得衍生图像的技术相结合，以提供例如肺结节的增强的计算机辅助诊断。

6. 发明授权

US08156210B2 Workflow for computer aided detection 有权
标题翻译：计算机辅助检测工作流程
公开(公告)号：US08156210B2
公开(公告)日：2012-04-10
申请号：US10338393
申请日：2003-01-08
申请人： Stephen W. Metz , Carson H. Thomas , Fleming Y. M. Lure , Edward A. Martello , Jyh-Shyan Lin
发明人： Stephen W. Metz , Carson H. Thomas , Fleming Y. M. Lure , Edward A. Martello , Jyh-Shyan Lin
IPC分类号： G06F15/173
CPC分类号： G06F19/321 , G06F19/00 , G16H15/00
摘要： A method is disclosed, in a diagnostic medical environment, that enhances workflow while using a computer-aided-detection (or diagnosis) (CAD) system in the environment. The method comprises generating image data with a diagnostic medical imaging acquisition system. The image data is transmitted from the diagnostic medical imaging acquisition system to a computer-aided-detection (or diagnosis) (CAD) system and an archive/review station. Detection results are generated by processing the image data, using the CAD system, while storing and viewing the image data on the archive/review station. The detection results are transmitted from the CAD system to the archive/review station. The detection results are integrated with the image data by the archive/review station to form composite image data. The composite image data is displayed by the archive/review system.
摘要翻译：在诊断医疗环境中公开了在环境中使用计算机辅助检测（或诊断）（CAD）系统的同时增强工作流程的方法。该方法包括用诊断医学成像采集系统生成图像数据。图像数据从诊断医学成像采集系统传输到计算机辅助检测（或诊断）（CAD）系统和归档/检查站。通过使用CAD系统处理图像数据，同时在存档/查看站上存储和查看图像数据来生成检测结果。检测结果从CAD系统传送到档案/审查站。检测结果与存档/审查站的图像数据集成，形成合成图像数据。复合图像数据由归档/审查系统显示。

7. 发明申请

US20050008211A1 Lung contrast normalization on direct digital and digitized chest images for computer-aided detection (CAD) of early-stage lung cancer 审中-公开
标题翻译：直接数字和数字化胸部图像的肺对比度归一化用于早期肺癌的计算机辅助检测（CAD）
公开(公告)号：US20050008211A1
公开(公告)日：2005-01-13
申请号：US10883740
申请日：2004-07-06
申请人： Xin-Wei Xu , Fleming Lure , H. -Y. Yeh , Jyh-Shyan Lin , Ruiping Li , Edward Martello
发明人： Xin-Wei Xu , Fleming Lure , H. -Y. Yeh , Jyh-Shyan Lin , Ruiping Li , Edward Martello
IPC分类号： G06K9/00 , G06K9/40 , G06T5/00 , G06T5/40
CPC分类号： G06T5/009 , G06T5/40 , G06T2207/10116 , G06T2207/30061
摘要： A method of processing x-ray images in digital form comprises: (a) inputting an x-ray image in digital form; (b) determining one or more normalization factors based on the pixels of the input x-ray image; (c) performing normalization on the input x-ray image by applying the one or more normalization factors to the pixels; and (d) outputting a normalized digital x-ray image.
摘要翻译：以数字形式处理x射线图像的方法包括：（a）以数字形式输入x射线图像; （b）基于输入的x射线图像的像素确定一个或多个归一化因子; （c）通过将一个或多个归一化因子应用于像素来对输入的X射线图像执行归一化; 和（d）输出归一化的数字X射线图像。

8. 发明申请

US20050033139A1 Adaptive segmentation of anatomic regions in medical images with fuzzy clustering 审中-公开
标题翻译：医学图像中解剖区域的自适应分割与模糊聚类
公开(公告)号：US20050033139A1
公开(公告)日：2005-02-10
申请号：US10606120
申请日：2003-06-26
申请人： Ruiping Li , Xin-Wei Xu , Jyh-Shyan Lin , Fleming Lure , H.-Y Yeh
发明人： Ruiping Li , Xin-Wei Xu , Jyh-Shyan Lin , Fleming Lure , H.-Y Yeh
IPC分类号： A61B5/05 , G06T5/00 , G06T7/00
CPC分类号： G06T7/0012 , G06T7/11 , G06T7/143 , G06T7/73 , G06T2207/10116 , G06T2207/20132 , G06T2207/30064
摘要： A method for identifying the orientation of an interesting object in a digital medical image comprises steps of creating a rectangular interesting image mask that covers the interesting object, based on the original digital medical image; generating a rough image based on the interesting image mask, the rough image coarsely describing the interesting object; and identifying the orientation of the interesting object based on the rough image. A method for segmenting interesting objects in digital medical images may also comprise steps of creating a rectangular interesting image mask that covers said interesting object, based on an original digital medical image; generating a rough image based on the interesting image mask, the rough image coarsely describing the interesting object; and performing a post-process on the rough image.
摘要翻译：一种用于识别数字医学图像中感兴趣对象的取向的方法包括基于原始数字医学图像创建覆盖有趣对象的矩形有趣图像掩模的步骤; 基于有趣的图像掩模生成粗略图像，粗略图像粗略地描述感兴趣的对象; 并基于粗略图像识别感兴趣对象的方位。用于分割数字医学图像中的感兴趣对象的方法还可以包括基于原始数字医学图像创建覆盖所述感兴趣对象的矩形有趣图像掩模的步骤; 基于有趣的图像掩模生成粗略图像，粗略图像粗略地描述感兴趣的对象; 并对粗略图像执行后处理。

9. 发明授权

US06654728B1 Fuzzy logic based classification (FLBC) method for automated identification of nodules in radiological images 失效
标题翻译：基于模糊逻辑的分类（FLBC）方法，用于自动识别放射图像中的结节
公开(公告)号：US06654728B1
公开(公告)日：2003-11-25
申请号：US09625418
申请日：2000-07-25
申请人： Ruiping Li , Hwa-Young Michael Yeh , Yuan-Ming Fleming Lure , Xin-Wei Xu , Jyh-Shyan Lin
发明人： Ruiping Li , Hwa-Young Michael Yeh , Yuan-Ming Fleming Lure , Xin-Wei Xu , Jyh-Shyan Lin
IPC分类号： G06F1518
CPC分类号： G06T7/0012 , G06F19/321 , G06T2207/30061 , G16H50/20
摘要： A fuzzy logic based classification (FLBC) method for the automated discrimination of objects and the automated identification of nodules based on their features, a computer programmed to implement the method, and a storage medium which stores a program for implementing the method, wherein nodule (or, object) features are first normalized and then automatically selected. Based on the selected features, suspect nodules (or, objects) are pre-grouped and then subjected to the corresponding trained linear classifier to remove those false positive nodules or abnormal objects that are linearly separable. Finally, the remaining suspect nodules or objects are further subjected to a trained fuzzy classifier for removing those false positive nodules or abnormal objects that are not linearly separable.
摘要翻译：一种用于自动识别物体的模糊逻辑分类（FLBC）方法和基于其特征的结节的自动识别，用于实现该方法的程序化计算机，以及存储用于实现该方法的程序的存储介质，其中结节（或对象）特征首先被归一化，然后自动选择。基于选定的特征，可疑结节（或对象）被预先分组，然后经受相应训练的线性分类器以去除可线性分离的假阳性结节或异常物体。最后，剩余的嫌疑结节或物体进一步经受训练的模糊分类器，以去除不可线性分离的假阳性结节或异常物体。

10. 发明授权

US06549646B1 Divide-and-conquer method and system for the detection of lung nodule in radiological images 有权
标题翻译：用于放射学图像中肺结节检测的分治方法和系统
公开(公告)号：US06549646B1
公开(公告)日：2003-04-15
申请号：US09503840
申请日：2000-02-15
申请人： Hwa-Young Michael Yeh , Jyh-Shyan Lin , Yuan-Ming Fleming Lure , Xin-Wei Xu , Ruiping Li , Rong Feng Zhuang
发明人： Hwa-Young Michael Yeh , Jyh-Shyan Lin , Yuan-Ming Fleming Lure , Xin-Wei Xu , Ruiping Li , Rong Feng Zhuang
IPC分类号： G06K900
CPC分类号： G06K9/6814 , G06T7/0012 , G06T2207/30061
摘要： A divide-and-conquer (DAC) method and system improve the detection of abnormalities, like lung nodules, in radiological images via the use of zone-based digital image processing and artificial neural networks. The DAC method and system divide the lung zone into different zones in order to enhance the efficiency in detection. Different image enhancement techniques are used for each different zone to enhance nodule images, as are different zone-specific techniques for selecting suspected abnormalities, extracting image features corresponding to selected abnormalities, and classifying the abnormalities as either true or false abnormalities.
摘要翻译：一种分治（DAC）方法和系统通过使用基于区域的数字图像处理和人工神经网络来改善放射学图像中异常的检测，如肺结节。 DAC方法和系统将肺区分为不同的区域，以提高检测效率。每个不同区域都使用不同的图像增强技术来增强结节图像，以及用于选择可疑异常的不同区域特异性技术，提取对应于所选异常的图像特征，以及将异常分类为真或异常异常。

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