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11. 发明申请

US20100111391A1 COORDINATED DESCRIPTION IN IMAGE ANALYSIS 有权
标题翻译：图像分析中的协调描述
公开(公告)号：US20100111391A1
公开(公告)日：2010-05-06
申请号：US12549375
申请日：2009-08-28
申请人： Gerardo Hermosillo Valadez , Bing Jian , Yoshihisa SHINAGAWA
发明人： Gerardo Hermosillo Valadez , Bing Jian , Yoshihisa SHINAGAWA
IPC分类号： G06K9/00 , G06K9/62
CPC分类号： G06K9/6292
摘要： Described herein is a technology for facilitating coordinated description in image analysis. In one implementation, the technology includes receiving image data including at least first and second descriptors (204) describing portions of the image data. The first and second descriptors are coordinated by determining at least one conditional probability of observing the first descriptor in the image data given an occurrence of the second descriptor (206). A classifier may then be trained based on the conditional probability (208).
摘要翻译：这里描述的是用于促进图像分析中的协调描述的技术。在一个实现中，该技术包括接收包括描述图像数据的部分的至少第一和第二描述符（204）的图像数据。通过确定在给定第二描述符（206）的出现的情况下观察图像数据中的第一描述符的至少一个条件概率来协调第一和第二描述符。然后可以基于条件概率（208）来训练分类器。

12. 发明申请

US20100061609A1 Quotient Appearance Manifold Mapping For Image Classification 有权
标题翻译：商品外观图像分类图
公开(公告)号：US20100061609A1
公开(公告)日：2010-03-11
申请号：US12502510
申请日：2009-07-14
申请人： Yoshihisa Shinagawa , Yuping Lin , Gerardo Hermosillo Valadez , Bing Jian
发明人： Yoshihisa Shinagawa , Yuping Lin , Gerardo Hermosillo Valadez , Bing Jian
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/6252 , G06K9/6212 , G06T7/0012 , G06T2207/10072 , G06T2207/20081 , G06T2207/30032 , G06T2207/30064 , G06T2207/30068
摘要： Described herein is a technology for facilitating classification of an object. In one implementation, at least one quotient appearance manifold mapping is constructed from a sample image to untangle appearance fiber bundles. A feature characteristic of the sample image may then be extracted based on the quotient appearance manifold mapping. A classifier may further be trained based on the extracted feature, and adapted for associating the object with an object class.
摘要翻译：这里描述了一种便于对象分类的技术。在一个实施方式中，从样本图像到外观纤维束的解交织构造至少一个商显示歧管映射。然后可以基于商出口歧管映射来提取样本图像的特征。还可以基于提取的特征进一步训练分类器，并且适于将对象与对象类相关联。

13. 发明授权

US08331641B2 System and method for automatically classifying regions-of-interest 有权
标题翻译：自动分类感兴趣区域的系统和方法
公开(公告)号：US08331641B2
公开(公告)日：2012-12-11
申请号：US12549381
申请日：2009-08-28
申请人： Gerardo Hermosillo Valadez , Bing Jian , Yoshihisa Shinagawa
发明人： Gerardo Hermosillo Valadez , Bing Jian , Yoshihisa Shinagawa
IPC分类号： G06K9/00 , A61B6/04
CPC分类号： G06K9/3233 , G06T7/0012 , G06T2207/10096 , G06T2207/20104 , G06T2207/30068
摘要： Described herein is a method and system for facilitating automatic classification of regions-of-interest (ROIs). Contrast enhanced image data may be received (202) and processed to generate at least one texture value of at least one ROI in the image data (204). The ROI may be automatically classified as either a mass or a non-mass like enhancement (NMLE) based on the texture value (e.g., bumpiness) (208).
摘要翻译：这里描述的是用于促进兴趣区域（ROI）的自动分类的方法和系统。对象增强图像数据可以被接收（202）并被处理以在图像数据（204）中生成至少一个ROI的至少一个纹理值。基于纹理值（例如，颠簸），ROI可以被自动分类为质量或非质量像增强（NMLE）（208）。

14. 发明授权

US08090172B2 Robust segmentation of breast and muscle in MRI 有权
标题翻译：胸部和肌肉在MRI中的鲁棒分割
公开(公告)号：US08090172B2
公开(公告)日：2012-01-03
申请号：US12207826
申请日：2008-09-10
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00 , G06K9/38
CPC分类号： G06T11/003 , G06T7/11 , G06T7/168 , G06T2207/10088 , G06T2207/30068 , G06T2207/30096
摘要： A method for segmenting an anatomical structure within medical image data includes acquiring medical image data. The medical image data is transformed from an original image space into a projective dual image space. A boundary of an anatomical structure is identified within the transformed medical image data based on a set of preexisting training data. An inverse transform is performed on the transformed medical image data and the identified boundary to convert the transformed medical image data and the identified boundary into the original image space. The inverse transformed identified boundary of the anatomical structure is used to segment the anatomical structure within the acquired medical image data.
摘要翻译：用于在医学图像数据内分割解剖结构的方法包括获取医学图像数据。医学图像数据从原始图像空间转换为投影双图像空间。基于一组先前存在的训练数据，在转化的医学图像数据内识别解剖结构的边界。对变换的医学图像数据和所识别的边界执行逆变换，以将转换的医学图像数据和所识别的边界转换为原始图像空间。解剖结构的逆变换识别边界用于分割所获取的医学图像数据内的解剖结构。

15. 发明申请

US20090069669A1 Efficient Features for Detection of Motion Artifacts in Breast MRI 审中-公开
标题翻译：用于检测乳腺MRI中运动伪像的高效特征
公开(公告)号：US20090069669A1
公开(公告)日：2009-03-12
申请号：US12204907
申请日：2008-09-05
申请人： Gerardo Hermosillo Valadez , Yoshihisa Shinagawa
发明人： Gerardo Hermosillo Valadez , Yoshihisa Shinagawa
IPC分类号： A61B5/055
CPC分类号： G01R33/5601 , G01R33/56509
摘要： A method for identifying motion artifacts in a dynamic contrast enhanced MRI includes receiving a dynamic contrast enhanced MRI including a patient's breast on which motion correction has been performed. One or more regions of suspicion are automatically identified within the breast based in the dynamic contrast enhanced MRI. The regions of suspicion are examined. A measure of negative enhancement is calculated within a local neighborhood about each identified region of suspicion. Each identified region of suspicion for which the calculated measure of negative enhancement is greater than a predetermined threshold is removed.
摘要翻译：用于识别动态对比度增强MRI中的运动伪影的方法包括接收动态对比度增强的MRI，其包括执行了运动校正的患者的乳房。在动态造影增强MRI中，一个或多个怀疑区域在乳房内自动识别。审查怀疑地区。在每个确定的怀疑区域内，在当地社区内计算负增强的度量。消除了所计算的负增强度量度大于预定阈值的每个识别的怀疑区域。

16. 发明授权

US08351673B2 Coordinated description in image analysis 有权
标题翻译：图像分析中的协调描述
公开(公告)号：US08351673B2
公开(公告)日：2013-01-08
申请号：US12549375
申请日：2009-08-28
申请人： Gerardo Hermosillo Valadez , Bing Jian , Yoshihisa Shinagawa
发明人： Gerardo Hermosillo Valadez , Bing Jian , Yoshihisa Shinagawa
IPC分类号： A61B6/03
CPC分类号： G06K9/6292
摘要： Described herein is a technology for facilitating coordinated description in image analysis. In one implementation, the technology includes receiving image data including at least first and second descriptors (204) describing portions of the image data. The first and second descriptors are coordinated by determining at least one conditional probability of observing the first descriptor in the image data given an occurrence of the second descriptor (206). A classifier may then be trained based on the conditional probability (208).
摘要翻译：这里描述的是用于促进图像分析中的协调描述的技术。在一个实现中，该技术包括接收包括描述图像数据的部分的至少第一和第二描述符（204）的图像数据。通过确定在给定第二描述符（206）的出现的情况下观察图像数据中的第一描述符的至少一个条件概率来协调第一和第二描述符。然后可以基于条件概率（208）来训练分类器。

17. 发明申请

US20090080740A1 Automatic Lesion Detection and Characterization Using Generative Model of Enhancement Dynamics in Breast MR 审中-公开
标题翻译：自动病变检测和表征使用乳房MR增强动力学的生成模型
公开(公告)号：US20090080740A1
公开(公告)日：2009-03-26
申请号：US12205114
申请日：2008-09-05
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00
CPC分类号： G01R33/5601 , G01R33/5608 , G06K9/38 , G06K2209/05 , G06T7/0012 , G06T2207/10088 , G06T2207/10096 , G06T2207/30004
摘要： A method for automatic detection of lesions within MR images includes administering a magnetic contrast agent into a subject. A sequence of MR images are acquired at predetermined intervals of time. One or more regions of suspicion are automatically identified within the MR images. A bidirectional exchange of the magnetic contrast agent between each compartment and its neighboring compartment is monitored for each compartment within each region of suspicion. Each region of suspicion is characterized based on the bidirectional exchange between each of its compartments and their neighboring compartments.
摘要翻译：用于自动检测MR图像内的损伤的方法包括向受试者施用磁性造影剂。以预定的时间间隔获取MR图像序列。在MR图像内自动识别一个或多个怀疑区域。监测每个隔间与其相邻隔室之间的磁性造影剂的双向交换，以便在每个怀疑区域内的每个隔间。基于每个隔间与其相邻隔室之间的双向交换来表征每个怀疑区域。

18. 发明申请

US20090069666A1 Correction of Intensity Inhomogeneity in Breast MRI 审中-公开
标题翻译：乳腺MRI强度不均匀性的校正
公开(公告)号：US20090069666A1
公开(公告)日：2009-03-12
申请号：US12205220
申请日：2008-09-05
申请人： Gerardo Hermosillo Valadez , Yoshihisa Shinagawa
发明人： Gerardo Hermosillo Valadez , Yoshihisa Shinagawa
IPC分类号： A61B5/055 , A61B5/00
CPC分类号： G01R33/56563 , G01R33/281 , G01R33/5608
摘要： A method for correcting for magnetic field inhomogeneity in a breast MRI, includes acquiring a magnetic resonance (MR) image including a patients breast. A surface image of the breast is automatically isolated within the acquired MR image based on a high contrast between the breast and surrounding air. A multiplicative field that transforms the isolated surface image into a uniform intensity is generated. The generated multiplicative field is applied to the entire acquired MR image to produce a corrected image.
摘要翻译：一种用于校正乳房MRI中的磁场不均匀性的方法，包括获取包括患者乳房的磁共振（MR）图像。基于乳房和周围空气之间的高对比度，在所获取的MR图像内自动隔离乳房的表面图像。产生将孤立表面图像变换为均匀强度的乘法场。生成的乘法场被施加到整个获取的MR图像以产生校正图像。

19. 发明授权

US09202140B2 Quotient appearance manifold mapping for image classification 有权
标题翻译：用于图像分类的商品外观流形图
公开(公告)号：US09202140B2
公开(公告)日：2015-12-01
申请号：US12502510
申请日：2009-07-14
申请人： Yoshihisa Shinagawa , Yuping Lin , Gerardo Hermosillo Valadez , Bing Jian
发明人： Yoshihisa Shinagawa , Yuping Lin , Gerardo Hermosillo Valadez , Bing Jian
IPC分类号： G06K9/62 , G06T7/00
CPC分类号： G06K9/6252 , G06K9/6212 , G06T7/0012 , G06T2207/10072 , G06T2207/20081 , G06T2207/30032 , G06T2207/30064 , G06T2207/30068
摘要： Described herein is a technology for facilitating classification of an object. In one implementation, at least one quotient appearance manifold mapping is constructed from a sample image to untangle appearance fiber bundles. A feature characteristic of the sample image may then be extracted based on the quotient appearance manifold mapping. A classifier may further be trained based on the extracted feature, and adapted for associating the object with an object class.
摘要翻译：这里描述了一种便于对象分类的技术。在一个实施方式中，从样本图像到外观纤维束的解交织构造至少一个商显示歧管映射。然后可以基于商出口歧管映射来提取样本图像的特征。还可以基于提取的特征进一步训练分类器，并且适于将对象与对象类相关联。

20. 发明授权

US08331636B2 Automatic calibration of computer aided diagnosis based on retrospective examination 有权
标题翻译：基于回顾性检查的计算机辅助诊断的自动校准
公开(公告)号：US08331636B2
公开(公告)日：2012-12-11
申请号：US12204870
申请日：2008-09-05
申请人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
发明人： Yoshihisa Shinagawa , Gerardo Hermosillo Valadez
IPC分类号： G06K9/00
CPC分类号： G06T7/0012
摘要： A method for automatic detection of lesions within a medical image include acquiring medical image data. Regions of suspicion are automatically identified within the medical image data. It is automatically determined whether each identified region of suspicion is of a benign state, is of a suspicious state that requires a biopsy, or is of an indeterminate state that requires subsequent imaging after a particular length of time. When an identified region of suspicion is determined to be of an indeterminate state, the determination is automatically reconsidered in light of a calibration factor that biases the automatic determination towards either a benign state or a suspicious state. The calibration factor may be based on data collected from follow-up examinations that reveal whether a lesion previously characterized as indeterminate was actually a benign or malignant lesion or on additional diagnostic information including prior image data or non-image data.
摘要翻译：用于自动检测医学图像内的病变的方法包括获取医学图像数据。怀疑区域在医学图像数据内自动识别。自动确定每个识别的怀疑区域是否处于良性状态，是需要活组织检查的可疑状态，或者是在特定时间长度之后需要后续成像的不确定状态。当识别出的怀疑区域被确定为不确定状态时，根据将自动判定偏向良性状态或可疑状态的校准因素自动重新确定该确定。校准因子可以基于从随访检查中收集的数据，其揭示先前特征为不确定性的病变实际上是良性或恶性病变，还是包括先前图像数据或非图像数据的附加诊断信息。

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