公开(公告)号：US20110116698A1

公开(公告)日：2011-05-19

申请号：US12946909

申请日：2010-11-16

申请人： Michael Weis ,  Michael Suehling ,  Michael Kelm ,  Sascha Seifert ,  Maria Jimena Costa ,  Alexander Cavallaro ,  Martin Huber ,  Dorin Comaniciu

发明人： Michael Weis ,  Michael Suehling ,  Michael Kelm ,  Sascha Seifert ,  Maria Jimena Costa ,  Alexander Cavallaro ,  Martin Huber ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/6207 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/149 ,  G06T2207/10081 ,  G06T2207/10088 ,  G06T2207/30081

摘要： A method and system for fully automatic segmentation the prostate in multi-spectral 3D magnetic resonance (MR) image data having one or more scalar intensity values per voxel is disclosed. After intensity standardization of multi-spectral 3D MR image data, a prostate boundary is detected in the multi-spectral 3D MR image data using marginal space learning (MSL). The detected prostate boundary is refined using one or more trained boundary detectors. The detected prostate boundary can be split into patches corresponding to anatomical regions of the prostate and the detected prostate boundary can be refined using trained boundary detectors corresponding to the patches.

摘要翻译： 公开了一种用于在具有每个体素具有一个或多个标量强度值的多光谱3D磁共振（MR）图像数据中全息自动分割前列腺的方法和系统。 在多光谱3D MR图像数据的强度标准化之后，使用边缘空间学习（MSL）在多光谱3D MR图像数据中检测前列腺边界。 使用一个或多个训练有素的边界检测器来精确检测前列腺边界。 检测到的前列腺边界可以分裂成对应于前列腺的解剖区域的斑块，并且可以使用对应于斑块的训练边界检测器来精细检测检测到的前列腺边界。

公开(公告)号：US09785858B2

公开(公告)日：2017-10-10

申请号：US12567197

申请日：2009-09-25

申请人： Sascha Seifert ,  Adrian Barbu ,  Shaohua Kevin Zhou ,  David Liu ,  Johannes Feulner ,  Martin Huber ,  Michael Suehling ,  Alexander Cavallaro ,  Dorin Comaniciu

发明人： Sascha Seifert ,  Adrian Barbu ,  Shaohua Kevin Zhou ,  David Liu ,  Johannes Feulner ,  Martin Huber ,  Michael Suehling ,  Alexander Cavallaro ,  Dorin Comaniciu

IPC分类号： G06K9/00 ,  G06K9/46 ,  G06T7/11 ,  G06T7/143

CPC分类号： G06K9/4638 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/10081 ,  G06T2207/20081 ,  G06T2207/20128 ,  G06T2207/30048 ,  G06T2207/30056

摘要： A method and apparatus for hierarchical parsing and semantic navigation of a full or partial body computed tomography CT scan is disclosed. In particular, organs are segmented and anatomic landmarks are detected in a full or partial body CT volume. One or more predetermined slices of the CT volume are detected. A plurality of anatomic landmarks and organ centers are then detected in the CT volume using a discriminative anatomical network, each detected in a portion of the CT volume constrained by at least one of the detected slices. A plurality of organs, such as heart, liver, kidneys, spleen, bladder, and prostate, are detected in a sense of a bounding box and segmented in the CT volume, detection of each organ bounding box constrained by the detected organ centers and anatomic landmarks. Organ segmentation is via a database-guided segmentation method.

公开(公告)号：US20110235887A1

公开(公告)日：2011-09-29

申请号：US13053263

申请日：2011-03-22

申请人： Rüdiger Bertsch ,  Roland Brill ,  Alexander Cavallaro ,  Maria Jimena Costa ,  Martin Huber ,  Michael Kelm ,  Helmut König ,  Sascha Seifert ,  Michael Wels

发明人： Rüdiger Bertsch ,  Roland Brill ,  Alexander Cavallaro ,  Maria Jimena Costa ,  Martin Huber ,  Michael Kelm ,  Helmut König ,  Sascha Seifert ,  Michael Wels

IPC分类号： G06K9/00

CPC分类号： A61B6/5217 ,  A61B5/055 ,  A61B5/415 ,  A61B5/418 ,  A61B5/4842 ,  G06F19/00 ,  G06F19/321 ,  G16H50/20

摘要： A method and system for the diagnosis of 3D images are disclosed, which significantly cuts the time required for the diagnosis. The 3D images are for example an image volume dataset of a magnetic resonance tomography system which is saved in an RIS or PACS system. In at least one embodiment, the diagnostic finding are partially automatically generated, and details of the position, size and change in pathological structures are compared to previous diagnostic findings are generated automatically. As a result of this automation the diagnostic work of radiologists is significantly reduced.

摘要翻译： 公开了用于诊断3D图像的方法和系统，其显着地缩短了诊断所需的时间。 3D图像例如是保存在RIS或PACS系统中的磁共振断层摄影系统的图像体积数据集。 在至少一个实施例中，部分地自动生成诊断发现，并且自动地生成病理结构的位置，大小和变化的细节与先前的诊断结果进行比较。 由于这种自动化，放射科医师的诊断工作显着减少。

公开(公告)号：US20110182493A1

公开(公告)日：2011-07-28

申请号：US12711363

申请日：2010-02-24

申请人： Martin HUBER ,  Michael Kelm ,  Sascha Seifert

发明人： Martin HUBER ,  Michael Kelm ,  Sascha Seifert

IPC分类号： G06K9/00 ,  G06K9/34 ,  G06F3/048

CPC分类号： G06F19/321 ,  G16H15/00

摘要： A method and a system are disclosed for image annotation of images, in particular two- and three-dimensional medical images. In at least one embodiment, the image annotation system includes an image parser which parses images retrieved from an image database or provided by an image acquisition apparatus and segments each image into image regions. The image can be provided by any kind of image acquisition apparatus such as a digital camera an x-ray apparatus, a computer tomograph or a magnetic resonance scanning apparatus. Each segmented image regions is annotated automatically with annotation data and stored in an annotation database. In at least one embodiment, the system includes at least one user terminal which loads at least one selected image from said image database and retrieved the corresponding annotation data of all segmented image regions of said image from said annotation database for further annotation of the image. The image annotation system, in at least one embodiment, allows for a more efficient and more reliable annotation of images which can be further processed to generate automatically reports for examples of patients in a hospital. The image annotation method and system according to at least one embodiment of the invention, can be used in a wide range of applications in particular of annotation of medical images but also in security systems as well as in the developments of prototypes of complex apparatuses such as automobiles.

摘要翻译： 公开了用于图像的图像注释的方法和系统，特别是二维和三维医学图像。 在至少一个实施例中，图像注释系统包括图像解析器，其解析从图像数据库检索或由图像获取装置提供的图像，并将每个图像分割成图像区域。 该图像可以由诸如数字照相机，X射线设备，计算机断层摄影机或磁共振扫描设备的任何种类的图像采集设备提供。 每个分割的图像区域都使用注释数据自动注释并存储在注释数据库中。 在至少一个实施例中，系统包括至少一个用户终端，其从所述图像数据库加载至少一个选定的图像，并且从所述注释数据库检索所述图像的所有分割图像区域的对应注释数据，以进一步注释图像。 在至少一个实施例中，图像注释系统允许图像的更有效和更可靠的注释，其可被进一步处理以自动生成报告，用于医院中患者的示例。 根据本发明的至少一个实施例的图像注释方法和系统可以用于特别是医学图像的注释的广泛应用中，但也可以用于安全系统以及复杂装置的原型开发中，例如 汽车