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    • 2. 发明授权
    • Method for estimating the concentration of a tracer in a tissue structure assembly, and corresponding storage medium and device
    • 用于估计组织结构组件中的示踪剂的浓度的方法,以及相应的存储介质和装置
    • US08615117B2
    • 2013-12-24
    • US13125915
    • 2009-09-18
    • Renaud MaroyBertrand Tavitian
    • Renaud MaroyBertrand Tavitian
    • G06K9/00
    • G06T11/006G06T2211/424
    • A method provides for estimating the concentration of a tracer in a tissue structure assembly including at least one tissue structure, from a measurement image of the tracer concentration in said tissue structure assembly, which is obtained by an imaging apparatus, wherein said image includes at least one space domain inside which the tracer concentration is homogenous and at least one region of interest in which the tracer concentration is measured. The method includes: determining a geometric transfer matrix having coefficients representative of the contribution of the space domains in the measurement of the tracer concentration in the regions of interest; optimizing the coefficient of the geometric transfer matrix by defining the best regions of interest in terms of errors in order to measure the tracer concentration, the definition of the regions of interest being carried out according to an iterative loop that includes the following steps upon each iteration: modifying the regions of interest, and calculating the coefficients of the geometric transfer matrix from the modified regions of interest; selecting an optimized geometric transfer matrix among the calculated geometric transfer matrices; and estimating the tracer concentration from the optimized geometric transfer matrix.
    • 一种方法提供从由成像设备获得的所述组织结构组件中的示踪剂浓度的测量图像中估计包括至少一个组织结构的组织结构组件中的示踪剂的浓度,其中所述图像至少包括 一个空间域,其中示踪剂浓度是均匀的,以及至少一个其中测量示踪剂浓度的感兴趣区域。 该方法包括:确定具有代表在感兴趣区域中示踪剂浓度的测量中空间域的贡献的系数的几何传递矩阵; 通过根据误差定义感兴趣的最佳区域来优化几何传递矩阵的系数,以便测量示踪剂浓度,根据迭代循环进行感兴趣区域的定义,该迭代循环在每次迭代时包括以下步骤 :修改感兴趣区域,以及从感兴趣的修改区域计算几何传递矩阵的系数; 在计算的几何传递矩阵中选择优化的几何传递矩阵; 并从优化的几何传递矩阵估计示踪剂浓度。
    • 4. 发明申请
    • Method of screening groups of radioactive molecules and applications thereof
    • 筛选放射性分子组的方法及其应用
    • US20060228296A1
    • 2006-10-12
    • US10514562
    • 2003-05-28
    • Vincent DiveAndre MenezReto StocklinBertrand TavitianFabrice BeauBertrand CzarnyJoel Cotton
    • Vincent DiveAndre MenezReto StocklinBertrand TavitianFabrice BeauBertrand CzarnyJoel Cotton
    • A61K51/00C40B30/06
    • C07K5/1027G01N33/5082
    • The invention relates to an amplification-free method of screening groups of radioactive molecules, the products from the molecule groups obtained and the application thereof in order to identify molecules that are capable of binding selectively to a tissue or a particular organ. The inventive method can be used for the development of novel therapeutic compounds and contrast agents for medical imaging and for the screening of medicaments. Said method of screening a group of molecules is characterised in that it comprises at least the following steps: (1) the group of molecules is administered to at least one animal, each molecule being marked first by a suitable radioactive isotope; (2) at least one of the animals is slaughtered and the tissue distribution of the radioactivity of the molecules administered is analysed from sections of tissue or organs taken using suitable imaging devices; (3) sections of tissue or organs in which a radioactivity signal is detected are selected; (4) radioactive fractions from the aforementioned sections of tissue or organs selected during step 3 are isolated using suitable techniques such as chromatography and/or extraction techniques; and (5) the molecule(s) from the radioactive fractions obtained in step 4 are characterised using suitable analysis techniques such as chromatography and/or mass spectrometry. According to one variation of the method, in step 2, where possible, the tissue distribution of the radioactivity of the molecules administered is analysed in vivo using suitable imaging devices from a biological sample which is pre-extracted and selected from the group containing cells and sections of tissue or organs. As a result, said variation does not require the animal to be slaughtered.
    • 本发明涉及一种无扩增方法,用于筛选放射性分子组,所获得的分子组的产物及其应用,以鉴定能够选择性结合组织或特定器官的分子。 本发明的方法可用于开发用于医学成像和药物筛选的新型治疗化合物和造影剂。 筛选一组分子的所述方法的特征在于其至少包括以下步骤:(1)向至少一种动物施用分子组,每个分子首先由合适的放射性同位素标记; (2)屠宰至少一只动物,并从使用合适的成像装置取出的组织或器官的部分分析施用的分子的放射性的组织分布; (3)选择检测放射性信号的组织或器官的部分; (4)使用合适的技术如色谱和/或提取技术分离来自步骤3中选择的组织或器官的前述部分的放射性级分; 和(5)来自步骤4中获得的放射性级分的分子使用合适的分析技术如色谱和/或质谱鉴定。 根据该方法的一个变体,在步骤2中,在可能的情况下,使用来自生物样品的合适的成像装置在体内分析施用的分子的放射性的组织分布,所述生物样品被预先提取并选自含有细胞的组和 组织或器官的部分。 因此,所述变体不需要屠宰动物。
    • 7. 发明申请
    • Method of segmentation of a sequence of three-dimensional images, in particular in pharmaco-imagerie
    • 分割三维图像序列的方法,特别是在药物成像中
    • US20060269130A1
    • 2006-11-30
    • US11335712
    • 2006-01-20
    • Renaud MaroyBertrand TavitianVincent Frouin
    • Renaud MaroyBertrand TavitianVincent Frouin
    • G06K9/34G06K9/00
    • A61B6/508A61B6/037G06T7/11G06T7/143G06T7/187G06T7/215G06T2207/10076G06T2207/10104G06T2207/30004
    • The present invention relates to a method of segmenting a starting image or sequence of tridimensional images for obtaining a tridimensional segmentation image comprising a partition into regions of interest, said image or sequence of images comprising measurements, for each voxel and in the course of n time intervals (n≧1), of the real evolution of a signal representative of at least one variable of said image or sequence, which comprises essentially: a) a modeling (10) of the signal comprising the definition of a parametric model of spatio-temporal evolution of said signal, this model comprising sets of homogeneous parameters respectively specific to structures corresponding to said regions of interest; b) an extraction (30) of samples of voxels respectively included in said structures; then c) a merging (50b) of the samples grouping together those whose evolution model is specific to the same structure, said merging following, preceding or including a classification of all the voxels of said image or sequence of images or of a zone of interest of the latter by aggregation with a group of samples.
    • 本发明涉及一种分割三维图像的起始图像或序列的方法,用于获得三维分割图像,该三维分割图像包括分割成感兴趣的区域,所述图像或图像序列包括针对每个体素的测量,并且在n个时间段 代表所述图像或序列的至少一个变量的信号的实际演变的间隔(n> = 1),其基本上包括:a)信号的建模(10),其包括空间的参数模型的定义 所述信号的时间演化,该模型包括分别特定于对应于所述感兴趣区域的结构的均匀参数集合; b)分别包括在所述结构中的体素样本的提取(30); 然后c)合并(50b)的样本将进化模型特定于相同结构的那些分组在一起,在所述图像或图像序列的所有体素的分类之前或之后合并, 后者通过与一组样本的聚合的兴趣。
    • 8. 发明授权
    • Method of segmentation of a sequence of three-dimensional images, in particular in pharmaco-imagerie
    • 分割三维图像序列的方法,特别是在药物成像中
    • US07630550B2
    • 2009-12-08
    • US11335712
    • 2006-01-20
    • Renaud MaroyBertrand TavitianVincent Frouin
    • Renaud MaroyBertrand TavitianVincent Frouin
    • G06K9/34
    • A61B6/508A61B6/037G06T7/11G06T7/143G06T7/187G06T7/215G06T2207/10076G06T2207/10104G06T2207/30004
    • The present invention relates to a method of segmenting a starting image or sequence of tridimensional images for obtaining a tridimensional segmentation image comprising a partition into regions of interest, said image or sequence of images comprising measurements, for each voxel and in the course of n time intervals (n≧1), of the real evolution of a signal representative of at least one variable of said image or sequence, which comprises essentially: a) a modeling (10) of the signal comprising the definition of a parametric model of spatio-temporal evolution of said signal, this model comprising sets of homogeneous parameters respectively specific to structures corresponding to said regions of interest; b) an extraction (30) of samples of voxels respectively included in said structures; then c) a merging (50b) of the samples grouping together those whose evolution model is specific to the same structure, said merging following, preceding or including a classification of all the voxels of said image or sequence of images or of a zone of interest of the latter by aggregation with a group of samples.
    • 本发明涉及一种分割三维图像的起始图像或序列的方法,用于获得三维分割图像,该三维分割图像包括分割成感兴趣的区域,所述图像或图像序列包括针对每个体素的测量,并且在n个时间段 代表所述图像或序列的至少一个变量的信号的实际演变的间隔(n> = 1),其基本上包括:a)信号的建模(10),其包括空间的参数模型的定义 所述信号的时间演化,该模型包括分别特定于对应于所述感兴趣区域的结构的均匀参数集合; b)分别包括在所述结构中的体素样本的提取(30); 然后c)合并(50b)的样本将进化模型特定于相同结构的那些进行分组,所述合并,在所述图像或图像序列或感兴趣区域的所有体素的分类之前, 通过与一组样本的聚合。
    • 10. 发明申请
    • METHOD FOR ESTIMATING THE CONCENTRATION OF A TRACER IN A TISSUE STRUCTURE ASSEMBLY, AND CORRESPONDING STORAGE MEDIUM AND DEVICE
    • 用于估计组织结构组件中的跟踪器的浓度的方法以及相应的存储介质和设备
    • US20110317889A1
    • 2011-12-29
    • US13125915
    • 2009-09-18
    • Renaud MaroyBertrand Tavitian
    • Renaud MaroyBertrand Tavitian
    • G06K9/00
    • G06T11/006G06T2211/424
    • A method provides for estimating the concentration of a tracer in a tissue structure assembly including at least one tissue structure, from a measurement image of the tracer concentration in said tissue structure assembly, which is obtained by an imaging apparatus, wherein said image includes at least one space domain inside which the tracer concentration is homogenous and at least one region of interest in which the tracer concentration is measured. The method includes: determining a geometric transfer matrix having coefficients representative of the contribution of the space domains in the measurement of the tracer concentration in the regions of interest; optimizing the coefficient of the geometric transfer matrix by defining the best regions of interest in terms of errors in order to measure the tracer concentration, the definition of the regions of interest being carried out according to an iterative loop that includes the following steps upon each iteration: modifying the regions of interest, and calculating the coefficients of the geometric transfer matrix from the modified regions of interest; selecting an optimized geometric transfer matrix among the calculated geometric transfer matrices; and estimating the tracer concentration from the optimized geometric transfer matrix.
    • 一种方法提供从由成像设备获得的所述组织结构组件中的示踪剂浓度的测量图像中估计包括至少一个组织结构的组织结构组件中的示踪剂的浓度,其中所述图像至少包括 一个空间域,其中示踪剂浓度是均匀的,以及至少一个其中测量示踪剂浓度的感兴趣区域。 该方法包括:确定具有代表在感兴趣区域中示踪剂浓度的测量中空间域的贡献的系数的几何传递矩阵; 通过根据误差定义感兴趣的最佳区域来优化几何传递矩阵的系数,以便测量示踪剂浓度,根据迭代循环进行感兴趣区域的定义,该循环包括在每次迭代时包括以下步骤 :修改感兴趣区域,以及从感兴趣的修改区域计算几何传递矩阵的系数; 在计算的几何传递矩阵中选择优化的几何传递矩阵; 并从优化的几何传递矩阵估计示踪剂浓度。