公开(公告)号：US08636472B2

公开(公告)日：2014-01-28

申请号：US13071366

申请日：2011-03-24

Applicant: Charles Louis ,  Matthieu Ferrant

Inventor： Charles Louis ,  Matthieu Ferrant

IPC: B64C27/51

CPC classification number: B64C27/51 ,  F16F1/3807

Abstract: The present invention relates to a damper (10) provided with an inner end strength member (20) and an outer end strength member (30) that are tubular and coaxial, a return member (40) being arranged between the inner end strength member (20) and the outer end strength member (30). The return member (40) includes an intermediate strength member (43) coaxial with the inner and outer end strength members (20, 30), said return member (40) having first and second return means (41, 42), said first return means (41) being arranged between the outer end strength member (30) and said intermediate strength member (43), said second return means (42) being arranged between the inner end strength member (20) and said intermediate strength member (43).

Abstract translation: 本发明涉及一种具有管状和同轴的内端强度件（20）和外端强度件（30）的阻尼器（10），一回转件（40） 20）和外端强度构件（30）。 返回构件（40）包括与内端和外端强度构件（20,30）同轴的中间强度构件（43），所述返回构件（40）具有第一和第二返回装置（41,42），所述第一返回 在外端强度构件（30）和中间强力构件（43）之间布置的装置（41），所述第二返回装置（42）设置在内端强度构件（20）和中间强力构件（43）之间， 。

公开(公告)号：US20070064982A1

公开(公告)日：2007-03-22

申请号：US11162672

申请日：2005-09-19

Applicant: Paul Licato ,  Beth Heckel ,  Saad Sirohey ,  Matthieu Ferrant ,  Bob Beckett

Inventor： Paul Licato ,  Beth Heckel ,  Saad Sirohey ,  Matthieu Ferrant ,  Bob Beckett

IPC: G06K9/00

CPC classification number: G06F19/321 ,  G06F19/00 ,  G06T19/00 ,  G06T2219/028

Abstract: An image display system includes user configurable viewports for the review and analysis of image data. The user configurable viewports include a review viewport and an analysis viewport. The review viewport displays in a review mode, a plurality of image views of the image data. The analysis viewport displays in an analysis mode, a plurality of image views of the image data. The review viewport and the analysis viewport may be configured for simultaneous display of related image data.

Abstract translation: 图像显示系统包括用于对图像数据的检查和分析的用户可配置的视口。 用户可配置的视口包括审阅视口和分析视口。 审阅视口以查看模式显示图像数据的多个图像视图。 分析视口以分析模式显示图像数据的多个图像视图。 审查视口和分析视口可以被配置为同时显示相关图像数据。

公开(公告)号：US07295870B2

公开(公告)日：2007-11-13

申请号：US10302135

申请日：2002-11-22

Applicant: Pascal Raymond Allain ,  Guy-Michel Hourdin ,  Matthieu Ferrant ,  Jerome Francois Knoplioch

Inventor： Pascal Raymond Allain ,  Guy-Michel Hourdin ,  Matthieu Ferrant ,  Jerome Francois Knoplioch

IPC: A61B5/05

CPC classification number: G06T7/0012

Abstract: For the automatic detection and characterization of nodules in a tomographic image of an anatomical zone of a patient, the image is segmented for identifying therein a region of interest, and the segmented image is processed for identifying the nodule.During the processing step, an ellipsoid inscribed in the region of interest is modeled for deciding whether the image elements inscribed in this ellipsoid correspond to a nodule, and, for each zone of the region of interest extending beyond the ellipsoid, the image elements are identified which do not belong to the module according to mathematical morphologic criteria.

Abstract translation: 对于患者解剖区域的断层图像中的结节的自动检测和表征，图像被分割以在其中识别感兴趣的区域，并且处理分割图像以识别结节。 在处理步骤期间，将刻在感兴趣区域中的椭球进行建模，以确定刻在该椭圆体中的图像元素是否对应于结节，并且对于超出椭圆体的感兴趣区域的每个区域，识别图像元素 根据数学形态学标准不属于模块。

公开(公告)号：US20060115137A1

公开(公告)日：2006-06-01

申请号：US10999073

申请日：2004-11-29

Applicant: Jerome Knoplioch ,  Matthieu Ferrant ,  Patrick Derreal

Inventor： Jerome Knoplioch ,  Matthieu Ferrant ,  Patrick Derreal

IPC: G06K9/00

CPC classification number: G06K9/34 ,  G06K2209/05 ,  G06T7/11 ,  G06T7/155 ,  G06T2200/04 ,  G06T2207/20132 ,  G06T2207/20156 ,  G06T2207/30064

Abstract: A method for analyzing a three-dimensional (3D) image representative of an initial volume of interest (VOI) containing a lesion is disclosed. The 3D image has an associated binary map having voxels associated with a thresholded variance map of the initial VOI. The initial VOI has boundaries that may be defined by a cube. A final VOI is determined that is less than the initial VOI, where the final VOI is a function of the number of transitions from a boundary voxel to a filtered voxel at an outer boundary of the lesion. The final VOI is then analyzed to determine a nodule consistency class, classified based upon the computed nodule consistency class by applying a voxel-clustering algorithm, and displayed with respect to three classifications of tissue.

公开(公告)号：US20060079743A1

公开(公告)日：2006-04-13

申请号：US10961245

申请日：2004-10-08

Applicant: Matthieu Ferrant ,  Saad Sirohey ,  Paulo Mendonca ,  Jerome Knoplioch ,  Rahul Bhotika

Inventor： Matthieu Ferrant ,  Saad Sirohey ,  Paulo Mendonca ,  Jerome Knoplioch ,  Rahul Bhotika

IPC: A61B5/05 ,  G06K9/00

CPC classification number: A61B6/032 ,  A61B6/469 ,  G06T7/0012 ,  G06T7/64 ,  G06T2207/30061

Abstract: A method includes generating a first response including a plurality of potential first objects of interest of a first shape from data regarding a region of interest (ROI), generating a second response including a plurality of second objects of interest for a second shape different than the first shape from the data regarding the ROI, and performing a morphological closing on the second response to produce a second cleaned response including a plurality of completed second objects. The method also includes decreasing the number of potential objects of interest in the first response by deleting any potential first objects that overlap any completed second objects to obtain a cleaned first response, and generating an image using at least one of the first cleaned response and the second cleaned response.

Abstract translation: 一种方法包括从关于感兴趣区域（ROI）的数据产生包括第一形状的多个潜在的第一目标对象的第一响应，生成包括多个第二对象的第二响应，所述第二对象不同于 从关于ROI的数据的第一形状，以及对第二响应进行形态关闭，以产生包括多个完成的第二对象的第二清洁响应。 该方法还包括通过删除与任何完成的第二对象重叠的任何潜在的第一对象来减少第一响应中的潜在对象的数量以获得清除的第一响应，以及使用第一清除响应和 第二次清理响应。

公开(公告)号：US20050244042A1

公开(公告)日：2005-11-03

申请号：US10709355

申请日：2004-04-29

Applicant: Saad Sirohey ,  Rakesh Lal ,  Matthieu Ferrant ,  Paulo Mendonca

Inventor： Saad Sirohey ,  Rakesh Lal ,  Matthieu Ferrant ,  Paulo Mendonca

IPC: G06K9/00

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T7/155 ,  G06T2207/10081 ,  G06T2207/20016 ,  G06T2207/30032 ,  G06T2207/30064

Abstract: The method comprises: accessing the multi-dimensional dataset; generating a plurality of differential operators for the multi-dimensional dataset using a discrete approximation of an analytic function; and forming a plurality of geometric responses based on a plurality of differential operators resultant from the generating. The method optionally further includes isolating a selected region of interest from the multi-dimensional dataset; the selected region of interest comprising a subset of the imaging volume.

Abstract translation: 该方法包括：访问多维数据集; 使用分析函数的离散近似来生成用于所述多维数据集的多个微分算子; 以及基于从所述生成得到的多个差分运算符来形成多个几何响应。 所述方法可选地进一步包括从所述多维数据集中隔离所选择的感兴趣区域; 所选择的感兴趣区域包括成像体积的子集。

公开(公告)号：US20070236490A1

公开(公告)日：2007-10-11

申请号：US11562231

申请日：2006-11-21

Applicant: Alessi Casteele ,  Luc Verstraeten ,  Matthieu Ferrant ,  Josef Friedrichkeit

Inventor： Alessi Casteele ,  Luc Verstraeten ,  Matthieu Ferrant ,  Josef Friedrichkeit

IPC: G06T1/00

CPC classification number: A61B6/463 ,  A61B6/03 ,  G06F19/321 ,  G16H40/63

Abstract: An image display and review system for display of medical images represented by a digital image data set wherein a pre-defined number of viewports for display of different image representations is provided and wherein at least some of these viewports are configured to enable sequential display of different image representations deduced from the digital image data set.

Abstract translation: 一种用于显示由数字图像数据组表示的医学图像的图像显示和检查系统，其中提供了用于显示不同图像表示的预定数量的视口，并且其中这些视口中的至少一些被配置为使得能够顺序显示不同的 从数字图像数据集推导的图像表示。

公开(公告)号：US20060242146A1

公开(公告)日：2006-10-26

申请号：US11079694

申请日：2005-03-14

Applicant: Kelly Piacsek ,  Saad Sirohey ,  Matthieu Ferrant ,  Gopal Avinash

Inventor： Kelly Piacsek ,  Saad Sirohey ,  Matthieu Ferrant ,  Gopal Avinash

IPC: G06F7/00

CPC classification number: G06K9/4609 ,  G06T7/0012 ,  G06T7/64

Abstract: Methods and systems for quantification of a selected attribute of an image volume are provided. The system is configured to receive an image dataset for a volume of interest, process the dataset for a selected attribute based at least on one of shape and texture to obtain a plurality of responses, and compute an index of an aggregate of a plurality of obtained responses.

Abstract translation: 提供了用于量化图像体积的所选属性的方法和系统。 该系统被配置为接收感兴趣的体积的图像数据集，根据形状和纹理中的至少一个处理所选择的属性的数据集以获得多个响应，并且计算多个获得的集合的集合的索引 回应。

公开(公告)号：US20060239522A1

公开(公告)日：2006-10-26

申请号：US11085736

申请日：2005-03-21

Applicant: Matthieu Ferrant ,  Claire Naslot ,  Saad Sirohey

Inventor： Matthieu Ferrant ,  Claire Naslot ,  Saad Sirohey

IPC: G06K9/00

CPC classification number: G06T7/155 ,  G06T7/12 ,  G06T2207/10081 ,  G06T2207/30061

Abstract: Methods and systems for processing image data are described. One method includes identifying image data corresponding to an imaged trachea and identifying image data corresponding to imaged lungs. The method further includes separating the image data corresponding to the imaged trachea from the imaged data corresponding to the imaged lungs.

Abstract translation: 描述用于处理图像数据的方法和系统。 一种方法包括识别与成像气管相对应的图像数据并识别与成像肺相对应的图像数据。 所述方法还包括从对应于所成像的肺的成像数据分离对应于成像气管的图像数据。

公开(公告)号：US06891922B2

公开(公告)日：2005-05-10

申请号：US10307229

申请日：2002-11-30

Applicant: Matthieu Ferrant ,  Kelly Lynn Karau ,  Saad Ahmed Sirohey

Inventor： Matthieu Ferrant ,  Kelly Lynn Karau ,  Saad Ahmed Sirohey

IPC: G06T5/00 ,  G06T7/00 ,  A61B6/03

CPC classification number: G06T7/0012 ,  G06T7/11 ,  G06T2207/10081 ,  G06T2207/20132 ,  G06T2207/20152 ,  G06T2207/30064 ,  Y10S378/901

Abstract: A method for detection and classification of nodules (N) in a tomographic image of an anatomical zone of a patient includes segmenting the image to identify therein a region of interest including at least one nodule, and classifying regions of the nodule as one of solid, part-solid, and non-solid.

Abstract translation: 用于在患者的解剖区域的断层图像中检测和分类结节（N）的方法包括分割图像以在其中识别包括至少一个结节的感兴趣区域，以及将结节的区域分类为固体， 部分固体和非固体。