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1. 发明授权

US09008397B2 Tomography system based on Cerenkov luminescence 有权
标题翻译：基于Cerenkov发光的断层摄影系统
公开(公告)号：US09008397B2
公开(公告)日：2015-04-14
申请号：US13519863
申请日：2010-12-23
申请人： Jie Tian , Jianghong Zhong , Xin Yang , Chenghu Qin
发明人： Jie Tian , Jianghong Zhong , Xin Yang , Chenghu Qin
IPC分类号： G06K9/00 , G01T1/22 , G06T11/00
CPC分类号： G01T1/22 , G06T11/003
摘要： A tomography system based on Cerenkov tomography, comprising: a detector of Cerenkov fluorescence for acquiring optical plane images; a structural imaging system for acquiring three-dimensional structural images; a bed device for supporting an object to be imaged; a computer for forming an optical image, a structural image and a CLT image. The invention adopts the SP3 model and the semi threshold iterator to implement the global reconstruction of the CLT, and obtains the three-dimensional tomography image of the distribution of the radiopharmaceutical and the molecular probe in vivo within a short time. Since ordinary CCD camera is used, the cost of the imaging system has been sharply reduced for the equipment's construct and maintenance compared with PET/SPECT or γ camera. Therefore the present invention expands the options of the molecular probe, and application of the medicine Imaging.
摘要翻译：一种基于切伦科夫断层扫描的断层摄影系统，包括：用于获取光学平面图像的切伦科夫荧光检测器; 用于获取三维结构图像的结构成像系统; 用于支撑待成像对象的床装置; 用于形成光学图像的计算机，结构图像和CLT图像。本发明采用SP3模型和半阈值迭代器实现CLT的全局重建，并在短时间内获得放射性药物和分子探针分布的三维断层图像。由于使用普通的CCD相机，与PET / SPECT或γ相机相比，成像系统的成本大大降低了设备的构造和维护成本。因此，本发明扩大了分子探针的选择和药物成像的应用。

2. 发明申请

US20130103175A1 METHOD FOR MANUFACTURING APPLIANCES FOR REPOSITIONING TEETH 审中-公开
标题翻译：用于制造用于记录电器的器具的方法
公开(公告)号：US20130103175A1
公开(公告)日：2013-04-25
申请号：US13410292
申请日：2012-03-02
申请人： Zhongke Li , Jie Tian
发明人： Zhongke Li , Jie Tian
IPC分类号： G06F17/50 , G06G7/60
CPC分类号： A61C7/002 , A61B5/4547 , G05B2219/45167 , G06F17/10 , G06F17/50 , G16H50/50
摘要： A method for generating digital data sets is provided. The method includes: obtaining a first digital data set representing a first tooth arrangement; providing at least one operator for modifying a digital data set representing a tooth arrangement; providing target data which represents orthodontic treatment requirements; generating a second digital data set representing a second tooth arrangement based on the first digital data set using a state space search method and the at least one operator; determining whether the second tooth arrangement meets the treatment requirements; generating a Nth digital data set representing a Nth tooth arrangement based on a N−1th data set representing a N−1th tooth arrangement using the state space search method and the at least one operator, where N is an integer greater than 2; and determining whether the Nth tooth arrangement meets the treatment requirements.
摘要翻译：提供了一种用于产生数字数据集的方法。该方法包括：获得表示第一齿布置的第一数字数据集; 提供至少一个用于修改表示牙齿排列的数字数据集的操作者; 提供代表正畸治疗要求的目标数据; 使用状态空间搜索方法和所述至少一个运算符基于所述第一数字数据集生成表示第二齿布置的第二数字数据集; 确定第二牙齿排列是否符合治疗要求; 使用所述状态空间搜索方法和所述至少一个运算符，基于表示第N-1个齿排列的N-1个数据集，生成表示第N个齿排列的第N个数字数据集，其中N是大于2的整数; 并确定第N齿配置是否满足治疗要求。

3. 发明授权

US08094149B2 Multi-spectral reconstruction method based on adaptive finite element 有权
标题翻译：基于自适应有限元的多光谱重建方法
公开(公告)号：US08094149B2
公开(公告)日：2012-01-10
申请号：US12075233
申请日：2008-03-10
申请人： Jie Tian , Xin Yang , Yujie Lv , Chenghu Qin
发明人： Jie Tian , Xin Yang , Yujie Lv , Chenghu Qin
IPC分类号： G06T15/00
CPC分类号： A61B5/0073
摘要： A multi-spectral reconstruction method based on adaptive finite element comprising the following steps: discretizing the diffusion equation in the object domain on the single spectral; establishing the relationship between the boundary measurement data and the unknown source variables on single spectral based on a posteriori permissible source region selection method, and forming the objective function based on the multi-spectral characteristics and the regularization method; optimizing the objective function and determining if the reconstruction shall be stopped or not; and if the reconstruction shall not be stopped, refining the mesh adaptively by using a posteriori measure method, and then returning to the first step to continue the reconstruction process. This method uses kinds of a priori information and the multi-spectral information, combined with the adaptive finite element method, proposes a posteriori permissible source region strategy, improves the reconstruction quality and speed of BLT availably, and reduces the ill-posedness of this imaging modality.
摘要翻译：基于自适应有限元的多光谱重建方法，包括以下步骤：在单光谱上离散对象域中的扩散方程; 基于后验允许源区选择方法建立边界测量数据和单光谱上未知源变量之间的关系，并基于多光谱特征和正则化方法形成目标函数; 优化目标函数，确定重建是否停止; 如果重建不能停止，通过使用后验测量方法自适应地改进网格，然后返回到第一步继续重建过程。该方法采用各种先验信息和多光谱信息，结合自适应有限元方法，提出了一种后验允许源区策略，有效提高了BLT的重建质量和速度，降低了该成像的不适模态

4. 发明授权

US10034647B2 System and method for endoscopic X-ray luminescence computed tomographic imaging 有权
公开(公告)号：US10034647B2
公开(公告)日：2018-07-31
申请号：US14379732
申请日：2012-03-16
申请人： Jimin Liang , Xueli Chen , Xiaochao Qu , Shouping Zhu , Duofang Chen , Heng Zhao , Jie Tian
发明人： Jimin Liang , Xueli Chen , Xiaochao Qu , Shouping Zhu , Duofang Chen , Heng Zhao , Jie Tian
IPC分类号： A61B6/00 , A61B6/12 , A61B5/00 , A61B6/03
CPC分类号： A61B6/5247 , A61B5/0086 , A61B6/032 , A61B6/12 , A61B6/485
摘要： A system for the endoscopic X-ray luminescence computed tomographic imaging is provided. The system comprises an excitation source unit (1) configured to excite a probe inside a detecting object from an external excitation source; a signal collecting unit (2) configured to collect X-ray images of the detecting object and near-infrared light signal images emitting from the probe being excitated; a computing unit (4) configured to preprocess the collected X-ray images and the near-infrared light signal images, execute sparse reconstruction on the preprocessed X-ray images so as to obtain anatomical structure information of the detecting object and location information of an endoscopic detector in the signal collecting unit (2) inside the detecting object, and use the obtained anatomical structure information and the location information to execute three-dimensional optical reconstruction based on the preprocessed near-infrared light signal images so as to obtain localization and distribution of an imaging target inside the detecting object.

5. 发明授权

US09333051B2 Method for manufacturing appliances for repositioning teeth 有权
标题翻译：用于重新定位牙齿的器具的制造方法
公开(公告)号：US09333051B2
公开(公告)日：2016-05-10
申请号：US13410292
申请日：2012-03-02
申请人： Zhongke Li , Jie Tian
发明人： Zhongke Li , Jie Tian
IPC分类号： G06F19/00 , A61C7/00 , G06F17/10 , G06F17/50 , A61B5/00
CPC分类号： A61C7/002 , A61B5/4547 , G05B2219/45167 , G06F17/10 , G06F17/50 , G16H50/50
摘要： A method for generating digital data sets is provided. The method includes: obtaining a first digital data set representing a first tooth arrangement; providing at least one operator for modifying a digital data set representing a tooth arrangement; providing target data which represents orthodontic treatment requirements; generating a second digital data set representing a second tooth arrangement based on the first digital data set using a state space search method and the at least one operator; determining whether the second tooth arrangement meets the treatment requirements; generating a Nth digital data set representing a Nth tooth arrangement based on a N−1th data set representing a N−1th tooth arrangement using the state space search method and the at least one operator, where N is an integer greater than 2; and determining whether the Nth tooth arrangement meets the treatment requirements.
摘要翻译：提供了一种用于产生数字数据集的方法。该方法包括：获得表示第一齿布置的第一数字数据集; 提供至少一个用于修改表示牙齿排列的数字数据集的操作者; 提供代表正畸治疗要求的目标数据; 使用状态空间搜索方法和所述至少一个运算符基于所述第一数字数据集生成表示第二齿布置的第二数字数据集; 确定第二牙齿排列是否符合治疗要求; 使用所述状态空间搜索方法和所述至少一个运算符，基于表示第N-1个齿排列的N-1个数据集，生成表示第N个齿排列的第N个数字数据集，其中N是大于2的整数; 并确定第N齿配置是否满足治疗要求。

6. 发明申请

US20150119700A1 SYSTEM AND METHOD FOR ENDOSCOPIC X-RAY LUMINESCENCE COMPUTED TOMOGRAPHIC IMAGING 审中-公开
标题翻译：内镜X射线发光计算机图像成像系统与方法
公开(公告)号：US20150119700A1
公开(公告)日：2015-04-30
申请号：US14379732
申请日：2012-03-16
申请人： Jimin Liang , Xueli Chen , Xiaochao Qu , Shouping Zhu , Duofang Chen , Heng Zhao , Jie Tian
发明人： Jimin Liang , Xueli Chen , Xiaochao Qu , Shouping Zhu , Duofang Chen , Heng Zhao , Jie Tian
IPC分类号： A61B6/00 , A61B5/00 , A61B6/12 , A61B6/03
CPC分类号： A61B6/5247 , A61B5/0086 , A61B6/032 , A61B6/12 , A61B6/485
摘要： A system for the endoscopic X-ray luminescence computed tomographic imaging is provided. The system comprises an excitation source unit (1) configured to excite a probe inside a detecting object from an external excitation source; a signal collecting unit (2) configured to collect X-ray images of the detecting object and near-infrared light signal images emitting from the probe being excitated; a computing unit (4) configured to preprocess the collected X-ray images and the near-infrared light signal images, execute sparse reconstruction on the preprocessed X-ray images so as to obtain anatomical structure information of the detecting object and location information of an endoscopic detector in the signal collecting unit (2) inside the detecting object, and use the obtained anatomical structure information and is the location information to execute three-dimensional optical reconstruction based on the preprocessed near-infrared light signal images so as to obtain localization and distribution of an imaging target inside the detecting object.
摘要翻译：提供了一种内镜X射线发光计算机断层成像系统。该系统包括激励源单元（1），其被配置为从外部激励源将检测对象内的探头激发; 信号收集单元（2），被配置为收集检测对象的X射线图像和从被激发的探针发射的近红外光信号图像; 计算单元（4），被配置为对所收集的X射线图像和近红外光信号图像进行预处理，对预处理的X射线图像执行稀疏重建，以获得检测对象的解剖结构信息和位置信息在检测对象内部的信号采集单元（2）中的内窥镜检测器，并使用获得的解剖结构信息，并且是基于预处理的近红外光信号图像执行三维光学重建的位置信息，以获得定位和成像目标在检测对象内的分布。

7. 发明授权

US08935535B2 Secure registration-free fingerprint authentication method and system based on local features 有权
标题翻译：基于局部特征的安全无注册指纹认证方法和系统
公开(公告)号：US08935535B2
公开(公告)日：2015-01-13
申请号：US13807077
申请日：2011-05-12
申请人： Jie Tian , Xin Yang , Peng Li
发明人： Jie Tian , Xin Yang , Peng Li
IPC分类号： G06F21/32 , G06K9/00
CPC分类号： G06F21/32 , G06K9/00093 , G06K2009/00953
摘要： A secure registration-free fingerprint authentication method based on local structures comprising: extracting descriptor features and local structure features of fingerprint minutiae from an input fingerprint image; conducting quantization and feature selection with respect to the features of the fingerprint minutiae; and encrypting the selected features and then decrypting the encrypted features to obtain the fingerprint image. The method adopts local features for fingerprint authentication, thus avoiding the complex registration in encryption domain. The method lowers the risk of the fingerprint authentication being attacked and improves security.
摘要翻译：一种基于局部结构的安全无注册指纹认证方法，包括：从输入指纹图像中提取指纹细节的描述符特征和局部结构特征; 对指纹细节的特征进行量化和特征选择; 并加密所选择的特征，然后解密加密的特征以获得指纹图像。该方法采用局部特征进行指纹认证，避免了加密域的复杂注册。该方法降低了攻击指纹认证的风险，提高了安全性。

8. 发明申请

US20130173927A1 SECURE REGISTRATION-FREE FINGERPRINT AUTHENTICATION METHOD AND SYSTEM BASED ON LOCAL FEATURES 有权
标题翻译：基于本地特征的安全注册无指纹识别方法和系统
公开(公告)号：US20130173927A1
公开(公告)日：2013-07-04
申请号：US13807077
申请日：2011-05-12
申请人： Jie Tian , Xin Yang , Peng Li
发明人： Jie Tian , Xin Yang , Peng Li
IPC分类号： G06F21/32
CPC分类号： G06F21/32 , G06K9/00093 , G06K2009/00953
摘要： A secure registration-free fingerprint authentication method based on local structures comprising: extracting descriptor features and local structure features of fingerprint minutiae from an input fingerprint image; conducting quantization and feature selection with respect to the features of the fingerprint minutiae; and encrypting the selected features and then decrypting the encrypted features to obtain the fingerprint image. The method adopts local features for fingerprint authentication, thus avoiding the complex registration in encryption domain. The method lowers the risk of the fingerprint authentication being attacked and improves security.
摘要翻译：一种基于局部结构的安全无注册指纹认证方法，包括：从输入指纹图像中提取指纹细节的描述符特征和局部结构特征; 对指纹细节的特征进行量化和特征选择; 并加密所选择的特征，然后解密加密的特征以获得指纹图像。该方法采用局部特征进行指纹认证，避免了加密域的复杂注册。该方法降低了攻击指纹认证的风险，提高了安全性。

9. 发明申请

US20080259074A1 Multi-spectral reconstruction method based on adaptive finite element 有权
标题翻译：基于自适应有限元的多光谱重建方法
公开(公告)号：US20080259074A1
公开(公告)日：2008-10-23
申请号：US12075233
申请日：2008-03-10
申请人： Jie Tian , Xin Yang , Yujie Lv , Chenghu Qin
发明人： Jie Tian , Xin Yang , Yujie Lv , Chenghu Qin
IPC分类号： G06T15/00
CPC分类号： A61B5/0073
摘要： A multi-spectral reconstruction method based on adaptive finite element comprising the following steps: discretizing the diffusion equation in the object domain on the single spectral; establishing the relationship between the boundary measurement data and the unknown source variables on single spectral based on a posteriori permissible source region selection method, and forming the objective function based on the multi-spectral characteristics and the regularization method; optimizing the objective function and determining if the reconstruction shall be stopped or not; and if the reconstruction shall not be stopped, refining the mesh adaptively by using a posteriori measure method, and then returning to the first step to continue the reconstruction process. This method uses kinds of a priori information and the multi-spectral information, combined with the adaptive finite element method, proposes a posteriori permissible source region strategy, improves the reconstruction quality and speed of BLT availably, and reduces the ill-posedness of this imaging modality.
摘要翻译：基于自适应有限元的多光谱重建方法，包括以下步骤：在单光谱上离散对象域中的扩散方程; 基于后验允许源区选择方法建立边界测量数据和单光谱上未知源变量之间的关系，并基于多光谱特征和正则化方法形成目标函数; 优化目标函数，确定重建是否停止; 如果重建不能停止，通过使用后验测量方法自适应地改进网格，然后返回到第一步继续重建过程。该方法采用各种先验信息和多光谱信息，结合自适应有限元方法，提出了一种后验允许源区策略，有效提高了BLT的重建质量和速度，降低了该成像的不适模态

10. 发明申请

US20120302880A1 SYSTEM AND METHOD FOR SPECIFICITY-BASED MULTIMODALITY THREE- DIMENSIONAL OPTICAL TOMOGRAPHY IMAGING 审中-公开
标题翻译：基于特异性多模态三维光学成像的系统和方法
公开(公告)号：US20120302880A1
公开(公告)日：2012-11-29
申请号：US13535774
申请日：2012-06-28
申请人： Jie TIAN , Xin YANG , Kai LIU , Dong HAN , Chenghu QIN
发明人： Jie TIAN , Xin YANG , Kai LIU , Dong HAN , Chenghu QIN
IPC分类号： A61B6/02 , A61B6/03
CPC分类号： A61B6/032 , A61B5/0035 , A61B5/0073 , A61B6/0407 , A61B6/5247 , G06T11/006 , G06T2211/424
摘要： A system and method for specificity-based multimodality three-dimensional optical tomography imaging comprises steps of: optical imaging to obtain a light intensity of body surface optical signal of an imaging target; CT imaging to obtain structure volume data; establishing an equation representing a linear relationship between the distribution of the obtained light intensity of body surface optical signal of the imaging target, the obtained CT discrete mesh data and the distribution of unknown internal self-luminescence light sources; establishing a dynamic sparse regularization target function in every iteration for the equation; and reconstructing a tomography image. The present invention well considers the optical specificity of tissue, in which there is a non-uniform optical characteristic parameter distribution within the same tissue when finite element modeling is used, which is closer to the real situation, so that an accurate imaging effect is achieved.
摘要翻译：一种用于基于特征的多模态三维光学层析成像的系统和方法，包括以下步骤：获得成像目标的体表光信号的光强度的光学成像; CT成像获取结构体数据; 建立表示所获得的成像对象的体表光信号的光强度的分布与所获得的CT离散网格数据与未知内部自发光光源的分布之间的线性关系的方程式; 在该方程的每次迭代中建立动态稀疏正则化目标函数; 并重建断层图像。本发明很好地考虑到组织的光学特异性，其中在使用有限元建模时，在相同组织内存在不均匀的光学特征参数分布，其更接近实际情况，从而实现精确的成像效果。

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