公开(公告)号：US20090232369A1

公开(公告)日：2009-09-17

申请号：US11721171

申请日：2005-12-16

申请人： Julien Senegas ,  Cristian Lorenz ,  Thomas Netsch ,  Heiner Gunnar Konrad Lund ,  Alexander Stork

发明人： Julien Senegas ,  Cristian Lorenz ,  Thomas Netsch ,  Heiner Gunnar Konrad Lund ,  Alexander Stork

IPC分类号： G06K9/00 ,  G06T15/00

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06T15/04 ,  G06T2207/10076 ,  G06T2207/30048 ,  G06T2210/41

摘要： The system 10 comprises an input 2 for accessing the suitable input data. The core of the system 10 is formed by a processor 4 which is arranged to operate the components of the system 10, it being the input 2, a computing unit 5, a working memory 6. The computing unit 5 preferably comprises a suitable number of executable subroutines 5a, 5b, 5c, 5d, 5e, and 5f to enable a constructing of a geometric model of the movable body based on the results of the segmentation step, finding a spatial correspondence between the first and second image dataset, mapping the texture image dataset on geometric model, fusing the geometric model and the mapped texture image dataset. The apparatus 10 according to the invention further comprises a coder 7 arranged to code the determined region of interest in accordance to a pre-selected criterion. The criterion may be selectable from a list of valid criteria, stored in a file 7a. Preferably, the coder 7, the computing unit 5 and the processor 4 are operable by a computer program 3, preferably stored in memory 8. An output 9 is used for outputting the results of the processing, like fused image data representing the textured, preferably animated geometric model of the movable body. The invention further relates to a method for integration of medical diagnostic information and a geometric model of a movable body and to a computer program.

摘要翻译： 系统10包括用于访问合适的输入数据的输入2。 系统10的核心由处理器4形成，处理器4被设置为操作系统10的组件，它是输入2，计算单元5，工作存储器6.计算单元5优选地包括适当数量的 可执行子程序5a，5b，5c，5d，5e和5f，以使得能够基于分割步骤的结果构建可移动体的几何模型，找到第一和第二图像数据集之间的空间对应关系， 几何模型的图像数据集，融合几何模型和映射纹理图像数据集。 根据本发明的装置10还包括编码器7，编码器7被布置成根据预先选择的标准对所确定的感兴趣区域进行编码。 标准可以从存储在文件7a中的有效标准的列表中选择。 优选地，编码器7，计算单元5和处理器4可由计算机程序3操作，优选地存储在存储器8中。输出9用于输出处理结果，如表示纹理的融合图像数据，优选地 动画的动画几何模型。 本发明还涉及用于将医疗诊断信息和可移动体的几何模型和计算机程序集成的方法。

公开(公告)号：US07822246B2

公开(公告)日：2010-10-26

申请号：US11721171

申请日：2005-12-16

申请人： Julien Senegas ,  Cristian Lorenz ,  Thomas Netsch ,  Heiner Gunnar Konrad Lund ,  Alexander Stork

发明人： Julien Senegas ,  Cristian Lorenz ,  Thomas Netsch ,  Heiner Gunnar Konrad Lund ,  Alexander Stork

IPC分类号： G06K9/00 ,  A61B5/05

CPC分类号： G06T7/0012 ,  G06F19/00 ,  G06T15/04 ,  G06T2207/10076 ,  G06T2207/30048 ,  G06T2210/41

摘要： The system 10 comprises an input 2 for accessing the suitable input data. The core of the system 10 is formed by a processor 4 which is arranged to operate the components of the system 10, it being the input 2, a computing unit 5, a working memory 6. The computing unit 5 preferably comprises a suitable number of executable subroutines 5a, 5b, 5c, 5d, 5e, and 5f to enable a constructing of a geometric model of the movable body based on the results of the segmentation step, finding a spatial correspondence between the first and second image dataset, mapping the texture image dataset on geometric model, fusing the geometric model and the mapped texture image dataset. The apparatus 10 according to the invention further comprises a coder 7 arranged to code the determined region of interest in accordance to a pre-selected criterion. The criterion may be selectable from a list of valid criteria, stored in a file 7a. Preferably, the coder 7, the computing unit 5 and the processor 4 are operable by a computer program 3, preferably stored in memory 8. An output 9 is used for outputting the results of the processing, like fused image data representing the textured, preferably animated geometric model of the movable body. The invention further relates to a method for integration of medical diagnostic information and a geometric model of a movable body and to a computer program.

摘要翻译： 系统10包括用于访问合适的输入数据的输入2。 系统10的核心由处理器4形成，处理器4被设置为操作系统10的组件，它是输入2，计算单元5，工作存储器6.计算单元5优选地包括适当数量的 可执行子程序5a，5b，5c，5d，5e和5f，以便能够基于分割步骤的结果构建可移动体的几何模型，找到第一和第二图像数据集之间的空间对应关系， 几何模型的图像数据集，融合几何模型和映射纹理图像数据集。 根据本发明的装置10还包括编码器7，编码器7被布置成根据预先选择的标准对所确定的感兴趣区域进行编码。 标准可以从存储在文件7a中的有效标准的列表中选择。 优选地，编码器7，计算单元5和处理器4可由计算机程序3操作，优选地存储在存储器8中。输出9用于输出处理结果，如表示纹理的融合图像数据，优选地 动画的动画几何模型。 本发明还涉及用于将医疗诊断信息和可移动体的几何模型和计算机程序集成的方法。

公开(公告)号：US09715575B2

公开(公告)日：2017-07-25

申请号：US14006694

申请日：2012-03-19

申请人： Eric Cohen-Solal ,  Michael Chun-Chieh Lee ,  Stefanie Remmele ,  Sebastian Peter Michael Dries ,  Julien Senegas ,  Matthew Joseph Walker

发明人： Eric Cohen-Solal ,  Michael Chun-Chieh Lee ,  Stefanie Remmele ,  Sebastian Peter Michael Dries ,  Julien Senegas ,  Matthew Joseph Walker

IPC分类号： G06K9/00 ,  G06F19/00

CPC分类号： G06F19/321 ,  G06F19/00 ,  G06F19/325 ,  G16H40/63 ,  G16H50/20 ,  G16H50/70

摘要： A method includes obtaining image data for a patient. The image data corresponds to acquisition data from an imaging acquisition from a set of planned image acquisitions in an examination plan for the patient. The method further includes analyzing the image data with a processor based on an imaging practice guideline and producing electronically formatted data indicative of the analysis. The processor generates a signal indicative of a recommendation of a change to the examination plan based on the data indicative of the analysis.

公开(公告)号：US08848992B2

公开(公告)日：2014-09-30

申请号：US13520799

申请日：2011-01-19

申请人： Julien Senegas ,  Thomas Perkins

发明人： Julien Senegas ,  Thomas Perkins

IPC分类号： G06K9/00 ,  G01R33/561 ,  G01R33/565 ,  G01R33/28 ,  G01R33/56

CPC分类号： G01R33/56536 ,  G01R33/286 ,  G01R33/5601 ,  G01R33/5615

摘要： The invention relates to a method of determining a susceptibility gradient map, the method comprising acquiring (300) a magnetic resonance k-space dataset, said dataset comprising magnetic resonance echo data, wherein a recursive iteration is used to determine the susceptibility gradient map. Further, the invention relates to a method of determining a susceptibility gradient map, the method comprising acquiring a magnetic resonance k-space dataset, said dataset comprising magnetic resonance echo data, wherein the acquired dataset comprises magnetic resonance echo data of multiple echoes with different echo times, wherein a susceptibility gradient map is determined separately for each echo time resulting in a temporary susceptibility gradient map, wherein the method further comprises calculating a total susceptibility gradient map by combining all determined temporary susceptibility gradient maps.

摘要翻译： 本发明涉及一种确定磁敏度梯度图的方法，所述方法包括获取（300）磁共振k空间数据集，所述数据集包括磁共振回波数据，其中使用递归迭代来确定磁敏度梯度图。 此外，本发明涉及一种确定磁敏度梯度图的方法，所述方法包括获取磁共振k空间数据集，所述数据集包括磁共振回波数据，其中所获取的数据集包括具有不同回波的多个回波的磁共振回波数据 时间，其中针对导致临时磁敏度梯度图的每个回波时间分别确定敏感度梯度图，其中所述方法还包括通过组合所有确定的临时磁敏度梯度图来计算总磁敏度梯度图。

公开(公告)号：US20140009156A1

公开(公告)日：2014-01-09

申请号：US14006244

申请日：2012-02-28

申请人： Mariya Ivanova Doneva ,  Stefanie Remmele ,  Peter Bornert ,  Peter Mazurkewitz ,  Julien Senegas ,  Jochen Keupp ,  Kay Nehrke

发明人： Mariya Ivanova Doneva ,  Stefanie Remmele ,  Peter Bornert ,  Peter Mazurkewitz ,  Julien Senegas ,  Jochen Keupp ,  Kay Nehrke

IPC分类号： G01R33/56

CPC分类号： G01R33/56 ,  G01R33/4824 ,  G01R33/5608 ,  G01R33/5611 ,  G01R33/56509

摘要： The invention relates to a method of MR imaging of at least a portion of a body (10) of a patient placed in an examination volume of a MR device (1), the method comprising the steps of: subjecting the portion of the body (10) to a first imaging sequence for acquiring a first signal data set (21); subjecting the portion of the body (10) to a second imaging sequence for acquiring a second signal data set (23), wherein the imaging parameters of the second imaging sequence differ from the imaging parameters of the first imaging sequence; reconstructing a MR image from the second signal data set (23) by means of regularization using the first signal data set (21) as prior information. Moreover, the invention relates to a MR device (1) and to a computer program for a MR device (1).

摘要翻译： 本发明涉及放置在MR装置（1）的检查体积中的患者的身体（10）的至少一部分的MR成像方法，该方法包括以下步骤：对身体的部分（ 10）到用于获取第一信号数据集（21）的第一成像序列; 使所述身体（10）的所述部分经受第二成像序列以获取第二信号数据集（23），其中所述第二成像序列的成像参数与所述第一成像序列的成像参数不同; 通过使用第一信号数据集（21）的正则化作为先前信息，从第二信号数据集（23）重建MR图像。 此外，本发明涉及MR设备（1）和用于MR设备（1）的计算机程序。

公开(公告)号：US20130338930A1

公开(公告)日：2013-12-19

申请号：US14002206

申请日：2012-02-21

申请人： Julien Senegas ,  Stefanie Remmele ,  Michael Lee

发明人： Julien Senegas ,  Stefanie Remmele ,  Michael Lee

IPC分类号： G01R33/54 ,  G06F19/00

CPC分类号： G01R33/54 ,  G01R33/543 ,  G01R33/546 ,  G01R33/5608 ,  G06F11/327 ,  G06F19/00 ,  G06F19/321 ,  G06F19/34 ,  G16H40/63

摘要： A medical imaging device (300) comprising a magnetic resonance imaging system (302). The medical image device further comprises a memory (334) containing machine executable instructions (370, 372, 374, 376, 378, 380, 382, 384, 386) for execution by a processor (328). Execution of the instructions causes the processor to receive (100, 204) a pulse sequence protocol (340). Execution of the instructions further causes the processor to determine (102, 206) a pulse sequence type classification (342) descriptive of the pulse sequence protocol. Execution of the instructions further cause the processor to determine (104, 208) a magnetic resonance contrast classification (344), wherein the choice of the magnetic resonance contrast classification depends upon the pulse sequence type classification. Execution of the instructions further causes the processor to determine (106, 210) a pulse sequence protocol classification (346). The pulse sequence protocol classification is determined by the pulse sequence type classification and the magnetic resonance contrast classification.

摘要翻译： 一种包括磁共振成像系统（302）的医学成像装置（300）。 医学图像设备还包括用于由处理器（328）执行的机器可执行指令（370,372,374,376,378,380,382,384,386）的存储器（334）。 执行指令使得处理器接收（100,204）脉冲序列协议（340）。 执行指令还使处理器确定（102,206）描述脉冲序列协议的脉冲序列类型分类（342）。 执行指令还使得处理器确定（104,208）磁共振对比度分类（344），其中磁共振对比度分类的选择取决于脉冲序列类型分类。 执行指令还使处理器确定（106,210）脉冲序列协议分类（346）。 脉冲序列协议分类由脉冲序列类型分类和磁共振对比分类决定。

公开(公告)号：US20130034285A1

公开(公告)日：2013-02-07

申请号：US13520799

申请日：2011-01-19

申请人： Julien Senegas ,  Thomas Perkins

发明人： Julien Senegas ,  Thomas Perkins

IPC分类号： G06K9/00

CPC分类号： G01R33/56536 ,  G01R33/286 ,  G01R33/5601 ,  G01R33/5615

摘要： The invention relates to a method of determining a susceptibility gradient map, the method comprising acquiring (300) a magnetic resonance k-space dataset, said dataset comprising magnetic resonance echo data, wherein a recursive iteration is used to determine the susceptibility gradient map. Further, the invention relates to a method of determining a susceptibility gradient map, the method comprising acquiring a magnetic resonance k-space dataset, said dataset comprising magnetic resonance echo data, wherein the acquired dataset comprises magnetic resonance echo data of multiple echoes with different echo times, wherein a susceptibility gradient map is determined separately for each echo time resulting in a temporary susceptibility gradient map, wherein the method further comprises calculating a total susceptibility gradient map by combining all determined temporary susceptibility gradient maps.

摘要翻译： 本发明涉及一种确定磁敏度梯度图的方法，所述方法包括获取（300）磁共振k空间数据集，所述数据集包括磁共振回波数据，其中使用递归迭代来确定磁敏度梯度图。 此外，本发明涉及一种确定磁敏度梯度图的方法，所述方法包括获取磁共振k空间数据集，所述数据集包括磁共振回波数据，其中所获取的数据集包括具有不同回波的多个回波的磁共振回波数据 时间，其中针对导致临时磁敏度梯度图的每个回波时间分别确定敏感度梯度图，其中所述方法还包括通过组合所有确定的临时磁敏度梯度图来计算总磁敏度梯度图。

公开(公告)号：US09675311B2

公开(公告)日：2017-06-13

申请号：US14126276

申请日：2012-06-28

申请人： Jens Von Berg ,  Julien Senegas ,  Luna Fahoum ,  Shlomo Gotman ,  Torbjorn Vik

发明人： Jens Von Berg ,  Julien Senegas ,  Luna Fahoum ,  Shlomo Gotman ,  Torbjorn Vik

IPC分类号： G06K9/00 ,  A61B6/00 ,  A61B6/03 ,  G06T7/30

CPC分类号： A61B6/488 ,  A61B6/032 ,  A61B6/469 ,  A61B6/545 ,  G06T7/30

摘要： A method includes planning a follow up three dimensional image acquisition of tissue of interest of a patient based on first and second two dimensional surview projection images, wherein the first two dimensional surview projection image was used to plan a previously performed baseline three dimensional image acquisition of the tissue of interest of the patient, wherein the first two dimensional surview projection image includes information corresponding to at least one region of interest identified in the first two dimensional surview projection image for the previously performed baseline three dimensional image acquisition, wherein the first two dimensional surview projection image includes information corresponding to a z-axis scanning extent identified in the first two dimensional surview projection image for the previously performed baseline three dimensional baseline image acquisition, and wherein the second two dimensional surview projection image was acquired for planning the follow up three dimensional image acquisition.

公开(公告)号：US09523750B2

公开(公告)日：2016-12-20

申请号：US14002206

申请日：2012-02-21

申请人： Julien Senegas ,  Stefanie Remmele ,  Michael Lee

发明人： Julien Senegas ,  Stefanie Remmele ,  Michael Lee

IPC分类号： G01R33/54 ,  G01R33/56 ,  G06F19/00 ,  G06F11/32

CPC分类号： G01R33/54 ,  G01R33/543 ,  G01R33/546 ,  G01R33/5608 ,  G06F11/327 ,  G06F19/00 ,  G06F19/321 ,  G06F19/34 ,  G16H40/63

摘要： A medical imaging device (300) includes a magnetic resonance imaging system (302) and a memory (334) containing machine executable instructions (370, 372, 374, 376, 378, 380, 382, 384, 386) for execution by a processor (328). Execution of the instructions causes the processor to receive (100, 204) a pulse sequence protocol (340). Execution of the instructions further causes the processor to determine (102, 206) a pulse sequence type classification (342) descriptive of the pulse sequence protocol. Execution of the instructions further cause the processor to determine (104, 208) a magnetic resonance contrast classification (344). The choice of the magnetic resonance contrast classification depends upon the pulse sequence type classification. Execution of the instructions further causes the processor to determine (106, 210) a pulse sequence protocol classification (346). The pulse sequence protocol classification is determined by the pulse sequence type classification and the magnetic resonance contrast classification.

摘要翻译： 医疗成像设备（300）包括磁共振成像系统（302）和包含机器可执行指令（370,372,374,384,378,380,382,384,386）的存储器，用于由处理器执行 （328）。 执行指令使得处理器接收（100,204）脉冲序列协议（340）。 执行指令还使处理器确定（102,206）描述脉冲序列协议的脉冲序列类型分类（342）。 执行指令还使处理器确定（104,208）磁共振对比度分类（344）。 磁共振对比度分类的选择取决于脉冲序列类型分类。 执行指令还使处理器确定（106,210）脉冲序列协议分类（346）。 脉冲序列协议分类由脉冲序列类型分类和磁共振对比分类决定。

公开(公告)号：US09317580B2

公开(公告)日：2016-04-19

申请号：US13983070

申请日：2012-01-31

申请人： Eric Cohen-Solal ,  Michael Chun-Chieh Lee ,  Julien Senegas ,  Sebastian Peter Michael Dries ,  Jens Von Berg ,  Stefanie Remmele

发明人： Eric Cohen-Solal ,  Michael Chun-Chieh Lee ,  Julien Senegas ,  Sebastian Peter Michael Dries ,  Jens Von Berg ,  Stefanie Remmele

IPC分类号： G06F17/30 ,  G06F19/00

CPC分类号： G06F17/30598 ,  G06F19/00 ,  G06F19/321 ,  G06F19/325 ,  G16H50/70

摘要： A method includes obtaining electronically formatted information about previously performed imaging procedures, classifying the information into groups of protocols based on initially selected protocols for the previously performed imaging procedures and generating data indicative thereof, identifying deviations between the classified information and the corresponding initially selected protocols for the previously performed imaging procedures, and generating a signal indicative of the deviations. A method includes recommending at least one of a plurality of protocols for an imaging procedure based on at least one of a score, a probability, or a pre-determined rule, which is based on extracted medical concepts from patient information and extracted medical concepts from previously imaged patient information, and generating a signal indicative of the recommendation.

摘要翻译： 一种方法包括获得关于先前执行的成像过程的电子格式化信息，基于对先前执行的成像过程的最初选择的协议将信息分类成协议组，并且生成指示其的数据，识别分类信息与相应的最初选择的协议之间的偏差 先前执行的成像过程，并且产生指示偏差的信号。 一种方法包括基于得分，概率或预定规则中的至少一个推荐用于成像过程的多个协议中的至少一个，其基于来自患者信息的提取的医学概念和来自患者信息的提取的医学概念 先前成像的患者信息，以及产生指示推荐的信号。