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    Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading
    13.
    发明授权
    Method and system for on-site learning of landmark detection models for end user-specific diagnostic medical image reading 有权
    用于最终用户特定诊断医学图像阅读的地标检测模型的现场学习方法和系统

    公开(公告)号：US09113781B2

    公开(公告)日：2015-08-25

    申请号：US13761263

    申请日：2013-02-07

    申请人： Michael Wels ,  Michael Kelm ,  Michael Suehling ,  Shaohua Kevin Zhou

    发明人： Michael Wels ,  Michael Kelm ,  Michael Suehling ,  Shaohua Kevin Zhou

    IPC分类号： G06K9/00 ,  A61B5/00 ,  A61B6/00 ,  G06K9/62 ,  G06F19/00

    CPC分类号： A61B5/0033 ,  A61B6/00 ,  A61B6/025 ,  A61B6/502 ,  G06F19/00 ,  G06F19/321 ,  G06K9/00 ,  G06K9/6255 ,  G06K2209/05

    摘要： A method and system for on-line learning of landmark detection models for end-user specific diagnostic image reading is disclosed. A selection of a landmark to be detected in a 3D medical image is received. A current landmark detection result for the selected landmark in the 3D medical image is determined by automatically detecting the selected landmark in the 3D medical image using a stored landmark detection model corresponding to the selected landmark or by receiving a manual annotation of the selected landmark in the 3D medical image. The stored landmark detection model corresponding to the selected landmark is then updated based on the current landmark detection result for the selected landmark in the 3D medical image. The landmark selected in the 3D medical image can be a set of landmarks defining a custom view of the 3D medical image.

    摘要翻译： 公开了一种用于在线学习用于最终用户特定诊断图像读取的地标检测模型的方法和系统。 接收在3D医疗图像中检测的地标的选择。 通过使用与所选择的地标相对应的存储的地标检测模型自动检测3D医学图像中的所选地标来确定3D医学图像中所选择的地标的当前地标检测结果，或者通过接收所选地标的手动注释 3D医学图像。 然后基于3D医学图像中所选地标的当前地标检测结果来更新对应于所选地标的所存储的地标检测模型。 在3D医学图像中选择的地标可以是定义3D医学图像的定制视图的一组地标。

    Method and System for On-Site Learning of Landmark Detection Models for End User-Specific Diagnostic Medical Image Reading
    14.
    发明申请
    Method and System for On-Site Learning of Landmark Detection Models for End User-Specific Diagnostic Medical Image Reading 有权
    用于特定于用户的诊断医学图像阅读的地标检测模型的现场学习方法和系统

    公开(公告)号：US20140219548A1

    公开(公告)日：2014-08-07

    申请号：US13761263

    申请日：2013-02-07

    申请人： Michael Wels ,  Michael Kelm ,  Michael Suehling ,  Shaohua Kevin Zhou

    发明人： Michael Wels ,  Michael Kelm ,  Michael Suehling ,  Shaohua Kevin Zhou

    IPC分类号： A61B5/00

    CPC分类号： A61B5/0033 ,  A61B6/00 ,  A61B6/025 ,  A61B6/502 ,  G06F19/00 ,  G06F19/321 ,  G06K9/00 ,  G06K9/6255 ,  G06K2209/05

    摘要： A method and system for on-line learning of landmark detection models for end-user specific diagnostic image reading is disclosed. A selection of a landmark to be detected in a 3D medical image is received. A current landmark detection result for the selected landmark in the 3D medical image is determined by automatically detecting the selected landmark in the 3D medical image using a stored landmark detection model corresponding to the selected landmark or by receiving a manual annotation of the selected landmark in the 3D medical image. The stored landmark detection model corresponding to the selected landmark is then updated based on the current landmark detection result for the selected landmark in the 3D medical image. The landmark selected in the 3D medical image can be a set of landmarks defining a custom view of the 3D medical image.

    摘要翻译： 公开了一种用于在线学习用于最终用户特定诊断图像读取的地标检测模型的方法和系统。 接收在3D医疗图像中检测的地标的选择。 通过使用与所选择的地标相对应的存储的地标检测模型自动检测3D医学图像中的所选地标来确定3D医学图像中所选择的地标的当前地标检测结果，或者通过接收所选地标的手动注释 3D医学图像。 然后基于3D医学图像中所选地标的当前地标检测结果来更新对应于所选地标的所存储的地标检测模型。 在3D医学图像中选择的地标可以是定义3D医学图像的定制视图的一组地标。

    Method and System for MR Scan Range Planning
    15.
    发明申请
    Method and System for MR Scan Range Planning 审中-公开
    MR扫描范围规划方法与系统

    公开(公告)号：US20120220855A1

    公开(公告)日：2012-08-30

    申请号：US13033976

    申请日：2011-02-24

    申请人： Wei Zhang ,  Michael Suehling ,  Shaohua Kevin Zhou

    发明人： Wei Zhang ,  Michael Suehling ,  Shaohua Kevin Zhou

    IPC分类号： A61B5/055

    CPC分类号： A61B5/055 ,  A61B5/0037 ,  A61B5/4244 ,  G01R33/543 ,  G06T7/12 ,  G06T2207/10088 ,  G06T2207/20164 ,  G06T2207/30056

    摘要： A method and system for determining a scan range for a magnetic resonance (MR) scan is disclosed. A plurality of 2D localizer images are received. A most likely position is detected in each localizer image for each of a plurality of anatomical landmarks associated with a target organ in each localizer image. A scan range is determined based on the detected most likely positions of each anatomic landmark in the localizer images.

    摘要翻译： 公开了一种用于确定磁共振（MR）扫描的扫描范围的方法和系统。 多个2D定位器图像被接收。 在每个定位器图像中针对与每个定位器图像中的目标器官相关联的多个解剖学标记中的每一个检测到最可能的位置。 基于检测到的定位器图像中的每个解剖标志的最可能的位置来确定扫描范围。

    Method and System for Automatic Contrast Phase Classification
    16.
    发明申请
    Method and System for Automatic Contrast Phase Classification 审中-公开
    自动对比相分类方法与系统

    公开(公告)号：US20110002520A1

    公开(公告)日：2011-01-06

    申请号：US12828335

    申请日：2010-07-01

    申请人： Michael Suehling ,  David Liu ,  Grzegorz Soza

    发明人： Michael Suehling ,  David Liu ,  Grzegorz Soza

    IPC分类号： G06T7/00

    CPC分类号： G06T7/0012 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/30004 ,  G06T2207/30008 ,  G06T2207/30101

    摘要： A method and system for classifying a contrast phase of a 3D medical image, such as a computed tomography (CT) image or a magnetic resonance (MR) image, is disclosed. A plurality of anatomic landmarks are detected in a 3D medical image. A local volume of interest is estimated at each of the plurality of anatomic landmarks, and features are extracted from each local volume of interest. The contrast phase of the 3D volume is determined based on the extracted features using a trained classifier.

    摘要翻译： 公开了用于分类3D医学图像（例如计算机断层摄影（CT）图像或磁共振（MR））图像的对比相位的方法和系统。 在3D医学图像中检测到多个解剖标志。 在多个解剖标志中的每一个处估计感兴趣的局部体积，并且从每个感兴趣的局部体积中提取特征。 基于使用经过训练的分类器提取的特征来确定3D体积的对比度相位。

    METHOD AND APPARATUS FOR GENERATION OF IMAGE DATA BASED ON MR THERMOMETRY DATA
    17.
    发明申请
    METHOD AND APPARATUS FOR GENERATION OF IMAGE DATA BASED ON MR THERMOMETRY DATA 审中-公开
    基于MR热成像数据生成图像数据的方法和装置

    公开(公告)号：US20140243654A1

    公开(公告)日：2014-08-28

    申请号：US14179860

    申请日：2014-02-13

    申请人： Joerg Roland ,  Eva Rothgang ,  Michael Suehling

    发明人： Joerg Roland ,  Eva Rothgang ,  Michael Suehling

    IPC分类号： G01R33/48 ,  G06T11/00

    摘要： In a method, apparatus and medical imaging system to generate image data based on magnetic resonance (MR) thermometry data, planning data of a region of an examination subject that is to be depicted thermometrically are provided to a processor. Through the processor, segmentation data based on the planning data are generated MR thermometry data are provided to the processor, which generates image data on the basis of the MR thermometry data, using the segmentation data.

    摘要翻译： 在一种用于基于磁共振（MR）测温数据生成图像数据的方法，装置和医学成像系统中，将要被温度描绘的检查对象的区域的规划数据提供给处理器。 通过处理器，生成基于计划数据的分割数据，MR测温数据被提供给处理器，处理器使用分割数据基于MR测温数据生成图像数据。

    Method and System for Semantics Driven Image Registration
    18.
    发明申请
    Method and System for Semantics Driven Image Registration 有权
    语义驱动图像注册方法与系统

    公开(公告)号：US20120014559A1

    公开(公告)日：2012-01-19

    申请号：US12986212

    申请日：2011-01-07

    申请人： Michael Suehling ,  Martin Huber ,  Grzegorz Soza

    发明人： Michael Suehling ,  Martin Huber ,  Grzegorz Soza

    IPC分类号： G06K9/00

    CPC分类号： G06K9/6207 ,  G06F19/00 ,  G06F19/321 ,  G06T7/33 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/30096

    摘要： A method and system for automatic semantics driven registration of medical images is disclosed. Anatomic landmarks and organs are detected in a first image and a second image. Pathologies are also detected in the first image and the second image. Semantic information is automatically extracted from text-based documents associated with the first and second images, and the second image is registered to the first image based the detected anatomic landmarks, organs, and pathologies, and the extracted semantic information.

    摘要翻译： 公开了一种用于医学图像的自动语义驱动注册的方法和系统。 在第一图像和第二图像中检测解剖标志和器官。 在第一图像和第二图像中还检测病理学。 基于与第一和第二图像相关联的基于文本的文档自动提取语义信息，并且基于检测到的解剖标志，器官和病理以及所提取的语义信息将第二图像登记到第一图像。

    Method and system for semantics driven image registration
    20.
    发明授权
    Method and system for semantics driven image registration 有权
    用于语义驱动映像注册的方法和系统

    公开(公告)号：US08311303B2

    公开(公告)日：2012-11-13

    申请号：US12986212

    申请日：2011-01-07

    申请人： Michael Suehling ,  Martin Huber ,  Grzegorz Soza

    发明人： Michael Suehling ,  Martin Huber ,  Grzegorz Soza

    IPC分类号： G06K9/00 ,  A61B6/00

    CPC分类号： G06K9/6207 ,  G06F19/00 ,  G06F19/321 ,  G06T7/33 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/10116 ,  G06T2207/10132 ,  G06T2207/30096

    摘要： A method and system for automatic semantics driven registration of medical images is disclosed. Anatomic landmarks and organs are detected in a first image and a second image. Pathologies are also detected in the first image and the second image. Semantic information is automatically extracted from text-based documents associated with the first and second images, and the second image is registered to the first image based the detected anatomic landmarks, organs, and pathologies, and the extracted semantic information.

    摘要翻译： 公开了一种用于医学图像的自动语义驱动注册的方法和系统。 在第一图像和第二图像中检测解剖标志和器官。 在第一图像和第二图像中还检测病理学。 基于与第一和第二图像相关联的基于文本的文档自动提取语义信息，并且基于检测到的解剖标志，器官和病理以及所提取的语义信息将第二图像登记到第一图像。