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17 条记录 (耗时 0.022 秒)

    Motion artifact detection and correction
    1.
    发明授权
    Motion artifact detection and correction 失效

    公开(公告)号：US07012603B2

    公开(公告)日：2006-03-14

    申请号：US10301036

    申请日：2002-11-21

    申请人： Dongqing Chen ,  Ingmar Bitter

    发明人： Dongqing Chen ,  Ingmar Bitter

    IPC分类号： G06T15/00

    CPC分类号： G06T11/008 ,  G06T2211/412

    摘要： An apparatus and method are provided for motion artifact detection and correction, where an apparatus includes a scanning device for receiving two-dimensional image slices of an object, a rendering device in signal communication with the scanning device for rendering a three-dimensional volume representation of the two-dimensional image slices, and a correction device in signal communication with the rendering device for correcting motion artifacts within the three-dimensional volume representation; and a corresponding method for detecting motion artifacts within scan data of a region comprising an object includes creating a three-dimensional representation with volume elements of the region based on the scan data, analyzing the volume elements along a boundary of the object, and determining the existence of a motion artifact in response to the analyzing.

    Computer assisted detection of lesions in volumetric medical images
    3.
    发明授权
    Computer assisted detection of lesions in volumetric medical images 有权
    计算机辅助检测体积医学图像中的病变

    公开(公告)号：US07596256B1

    公开(公告)日：2009-09-29

    申请号：US10246070

    申请日：2002-09-16

    申请人： Kaufman Arie ,  Dongqing Chen ,  Jerome Liang ,  Mark R. Wax

    发明人： Kaufman Arie ,  Dongqing Chen ,  Jerome Liang ,  Mark R. Wax

    IPC分类号： G06K9/00

    CPC分类号： G06T7/0012 ,  G06T7/12 ,  G06T2207/10072 ,  G06T2207/30032

    摘要： A computer-assisted detection method is provided for detecting suspicious locations of lesions in the volumetric medical images. The method includes steps of features extraction and fusion. The first step is computing gradient feature for extraction of the layer of Partial Volume Effect (LPVE) between different tissues that related to specific organs. The LPVE will combine with the result of voxel classification to fulfill the task of tissue classification. After tissue classification, the contour of tissue boundary is determined. The gradient feature is also used to determine the direction that intensity changes. This direction that intensity changes most dramatically serves as the normal vector for voxel on the contour of the tissue boundary. The second step is to determine a local surface patch on the contour for each voxel on the contour. A local landmark system is then created on that patch and the so-called Euclidean Distance Transform Vector (EDTV) is computed based on those landmarks. The EDTV is the basic shape feature for lesion detection whose development and invasion results abnormal shape change on the tissue boundary. A vector classification algorithm for pattern recognition based on EDTVs is also provided. The voxel on the contour of tissue boundary can be grouped into areas based on similar pattern to form lesion patch and local lesion volume. That area will further be analyzed for estimation of the likelihood of lesion.

    摘要翻译： 提供了一种用于检测体积医学图像中病变的可疑位置的计算机辅助检测方法。 该方法包括特征提取和融合的步骤。 第一步是在与特定器官相关的不同组织之间提取部分体积效应（LPVE）层的计算梯度特征。 LPVE将结合体素分类的结果来完成组织分类的任务。 组织分类后，确定组织边界的轮廓。 梯度特征也用于确定强度变化的方向。 强度变化最大的方向是组织边界轮廓上的体素的法向量。 第二步是为轮廓上的每个体素确定轮廓上的局部表面贴片。 然后在该补丁上创建一个局部地标系统，并根据这些地标计算所谓的欧几里德距离变换向量（EDTV）。 EDTV是病变检测的基本形状特征，其发育和侵袭在组织边界上形成异常形状变化。 还提供了基于EDTV的模式识别的矢量分类算法。 组织边界轮廓上的体素可以基于相似的模式分组成区域，形成病变斑块和局部病变体积。 该区域将进一步分析以估计病变的可能性。

    Sampling medical images for virtual histology
    4.
    发明申请
    Sampling medical images for virtual histology 审中-公开
    抽取医学图像进行虚拟组织学

    公开(公告)号：US20090226065A1

    公开(公告)日：2009-09-10

    申请号：US11664833

    申请日：2005-10-07

    申请人： Dongqing Chen

    发明人： Dongqing Chen

    IPC分类号： G06K9/00 ,  A61B5/05 ,  G06T17/00 ,  G06F17/00

    CPC分类号： G06F19/325 ,  G06F16/5862 ,  G06F19/321 ,  G06T7/0012 ,  G06T7/11 ,  G06T2207/10072 ,  G06T2207/20101 ,  G06T2207/30032

    摘要： A system (300, 400, 800) and method (100, 200) are provided for building a digital sample library of lesions or cancers from medical images, the system (300) including an image scanner (310), image visualization or reviewing equipment (320) in signal communication with the image scanner, a digital sample library database (332), and a network for data communication connected between the library, the reviewing equipment, and the at least one scanner; and the method (100) including acquiring patient medical images (112), detecting target lesions in the acquired patient medical images (114, 116, 118), extracting digital samples (120) of the detected target lesions, collecting pathological and histological results (124, 126) of the detected target lesions, collecting diagnostic results of the detected target lesions (128), performing model selection and feature extraction (122) for each digital sample of a lesion, and storing (130) each extracted digital sample for library evolution.

    摘要翻译： 提供一种系统（300,400,800）和方法（100,200），用于从医学图像建立病变或癌症的数字样本库，所述系统（300）包括图像扫描仪（310），图像可视化或复查设备 （320），与所述图像扫描器进行信号通信，数字样本库数据库（332）和连接在所述库，所述检查设备和所述至少一个扫描仪之间的用于数据通信的网络; 并且所述方法（100）包括获取患者医学图像（112），检测获取的患者医学图像（114,116,118）中的目标病变，提取检测到的目标病变的数字样本（120），收集病理学和组织学结果 收集检测到的目标病变的诊断结果（128），为病变的每个数字样本执行模型选择和特征提取（122），并存储（130）每个提取的数字样本库 演化。

    Computer aided treatment planning
    5.
    发明授权
    Computer aided treatment planning 有权
    计算机辅助治疗计划

    公开(公告)号：US07630750B2

    公开(公告)日：2009-12-08

    申请号：US10182217

    申请日：2001-02-05

    申请人： Zhengrong Liang ,  Bin Li ,  Dongqing Chen ,  Eric E. Smouha ,  Clemente T. Roque ,  Arie E. Kaufman ,  Mark R. Wax ,  Kevin Kreeger

    发明人： Zhengrong Liang ,  Bin Li ,  Dongqing Chen ,  Eric E. Smouha ,  Clemente T. Roque ,  Arie E. Kaufman ,  Mark R. Wax ,  Kevin Kreeger

    IPC分类号： A61B5/05

    CPC分类号： G06T19/003 ,  A61B34/10 ,  A61B90/36 ,  G06F19/00 ,  G06F19/321 ,  G06F19/3481 ,  G06T15/08 ,  G06T2210/41 ,  G16H50/50 ,  Y10S128/922

    摘要： A method of computer aided treatment planning is performed by generating and manipulating a three dimensional (3D) image of a region which includes at least one anatomical structure for which treatment, such as surgery, biopsy, tissue component analysis, prosthesis implantation, radiation, chemotherapy and the like, is contemplated. A virtual intervention, which simulates at least a portion of the contemplated treatment, is performed in the 3D image. The user can then determine the effect of the intervention and interactively modify the intervention for improved treatment results. Preferably, a warning is automatically provided if the intervention poses a risk of detrimental effect. The user can navigate through the contemplated region in the 3D image and assess the results. The treatment plans can be saved for comparison and post treatment evaluation.

    摘要翻译： 计算机辅助治疗计划的方法通过生成和操纵包括至少一个解剖结构的区域的三维（3D）图像来进行，所述解剖结构例如手术，活组织检查，组织成分分析，假体植入，放射，化疗 等等。 在3D图像中执行模拟预期治疗的至少一部分的虚拟介入。 然后，用户可以确定干预的效果并交互地修改干预以改善治疗结果。 优选地，如果干预造成有害影响的风险，则自动提供警告。 用户可以浏览3D图像中的预期区域并评估结果。 治疗计划可以节省进行比较和治疗后评估。

    Vessel segmentation using vesselness and edgeness
    6.
    发明申请
    Vessel segmentation using vesselness and edgeness 审中-公开
    血管分割使用血管和软弱

    公开(公告)号：US20070116332A1

    公开(公告)日：2007-05-24

    申请号：US10580742

    申请日：2004-11-24

    申请人： Wenli Cai ,  Dongqing Chen ,  Frank Dachille

    发明人： Wenli Cai ,  Dongqing Chen ,  Frank Dachille

    IPC分类号： G06K9/00 ,  G06K9/34

    CPC分类号： G06K9/4609 ,  A61B5/02007 ,  A61B6/463 ,  A61B6/481 ,  A61B6/504 ,  G06K9/44 ,  G06K2009/00932 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/11 ,  G06T19/00 ,  G06T2207/10081 ,  G06T2207/30101 ,  G06T2210/41

    摘要： A system (100) and corresponding method for vessel segmentation are provided, the system having an adapter (112, 128, 130) for receiving image data, a processor (102) in signal communication with the input adapter, a pre-processing unit (170) in signal communication with the processor for pre-processing the received image data, and a vessel segmentation unit (180) in signal communication with the processor for segmenting vessels using pre-processed data; and the corresponding method including receiving image data, pre-processing the received data, and segmenting vessels responsive to the pre-processed data.

    摘要翻译： 提供了一种用于血管分割的系统（100）和相应的血管分割方法，该系统具有用于接收图像数据的适配器（112,128,130），与输入适配器信号通信的处理器（102），预处理单元 170）与处理器进行信号通信以预处理接收到的图像数据;以及血管分割单元（180），其与处理器进行信号通信，用于使用预处理的数据来分割血管; 以及相应的方法，包括接收图像数据，预处理接收到的数据，以及响应于预处理的数据对容器进行分段。

    Computer aided treatment planning and visualization with image registration and fusion
    10.
    发明授权
    Computer aided treatment planning and visualization with image registration and fusion 失效
    计算机辅助治疗计划和可视化与图像配准和融合

    公开(公告)号：US07356367B2

    公开(公告)日：2008-04-08

    申请号：US10297349

    申请日：2001-06-06

    申请人： Zhengrong Liang ,  Dongqing Chen ,  Bin Li ,  Clemente T. Roque ,  Eric E. Smouha ,  Arie E. Kaufman ,  Mark R. Wax ,  Kevin Kreeger

    发明人： Zhengrong Liang ,  Dongqing Chen ,  Bin Li ,  Clemente T. Roque ,  Eric E. Smouha ,  Arie E. Kaufman ,  Mark R. Wax ,  Kevin Kreeger

    IPC分类号： A61B5/05

    CPC分类号： A61B5/055 ,  A61B5/726 ,  A61B90/36 ,  A61B2090/364 ,  G06F19/00

    摘要： A computer based system and method of visualizing a region using multiple image data sets is provided. The method includes acquiring first volumetric image data of a region and acquiring at least second volumetric image data of the region. The first image data is generally selected such that the structural features of the region are readily visualized. At least one control point is determined in the region using an identifiable structural characteristic discernable in the first volumetric image data. The at least one control point is also located in the at least second image data of the region such that the first image data and the at least second image data can be registered to one another using the at least one control point. Once the image data sets are registered, the registered first image data and at least second image data can be fused into a common display data set. The multiple image data sets have different and complimentary information to differentiate the structures and the functions in the region such that image segmentation algorithms and user interactive editing tools can be applied to obtain 3d spatial relations of the components in the region. Methods to correct spatial inhomogeneity in MR image data is also provided.

    摘要翻译： 提供了一种基于计算机的系统和使用多个图像数据集可视化区域的方法。 该方法包括获取区域的第一体积图像数据并且获取该区域的至少第二体积图像数据。 通常选择第一图像数据，使得该区域的结构特征容易可视化。 使用在第一体积图像数据中可识别的可识别的结构特征在该区域中确定至少一个控制点。 至少一个控制点也位于区域的至少第二图像数据中，使得可以使用至少一个控制点将第一图像数据和至少第二图像数据彼此对准。 一旦注册了图像数据集，就可将注册的第一图像数据和至少第二图像数据融合到公共显示数据集中。 多个图像数据集具有不同的和互补的信息以区分该区域中的结构和功能，使得可以应用图像分割算法和用户交互式编辑工具来获得该区域中的部件的3d空间关系。 还提供了校正MR图像数据的空间不均匀性的方法。