公开(公告)号：US08748090B2

公开(公告)日：2014-06-10

申请号：US12114430

申请日：2008-05-02

申请人： Jar-How Lee ,  Terrence Chen ,  Thoa Nong

发明人： Jar-How Lee ,  Terrence Chen ,  Thoa Nong

IPC分类号： C12Q1/68 ,  C12P19/34 ,  C07H21/02 ,  C07H21/04

CPC分类号： C12Q1/6881 ,  C12Q1/6816 ,  G01N33/56977 ,  G01N33/6845 ,  C12Q2563/155 ,  C12Q2563/131 ,  C12Q2537/143

摘要： The present invention relates to methods for screening for binding interactions using multiple sets of microparticles, wherein said set has the same identifiable characteristic and wherein one of more sets comprise subsets of microparticles and said subset presents at least one unique probe that acts as a binding partner for a target molecule in a biological sample. In particular, the invention provides for methods of detecting tissue-typing antigens in donor tissue or recipient tissue using these multiple sets of microparticles.

摘要翻译： 本发明涉及使用多组微粒筛选结合相互作用的方法，其中所述组具有相同的可识别特征，并且其中一组多组包含微粒子集，并且所述子集呈现起至少一种独特的探针，其作为结合配偶体 用于生物样品中的靶分子。 特别地，本发明提供了使用这些多组微粒来检测供体组织或受体组织中的组织分型抗原的方法。

公开(公告)号：US08565859B2

公开(公告)日：2013-10-22

申请号：US13171560

申请日：2011-06-29

申请人： Peng Wang ,  Simone Prummer ,  Terrence Chen ,  Dorin Comaniciu ,  Olivier Ecabert ,  Martin Ostermeier

发明人： Peng Wang ,  Simone Prummer ,  Terrence Chen ,  Dorin Comaniciu ,  Olivier Ecabert ,  Martin Ostermeier

IPC分类号： A61B5/05 ,  A61B8/14 ,  G06K9/00

CPC分类号： A61B8/0891 ,  A61B6/00 ,  A61B6/12 ,  A61B6/481 ,  A61B6/487 ,  A61B6/504 ,  A61B6/5247 ,  A61B8/12 ,  A61B8/5238 ,  G06T7/251 ,  G06T2207/10121 ,  G06T2207/10132

摘要： A method and system for co-registration of angiography data and intra vascular ultrasound (IVUS) data is disclosed. A vessel branch is detected in an angiogram image. A sequence of IVUS images is received from an IVUS transducer while the IVUS transducer is being pulled back through the vessel branch. A fluoroscopic image sequence is received while the IVUS transducer is being pulled back through the vessel branch. The IVUS transducer and a guiding catheter tip are detected in each frame of the fluoroscopic image sequence. The IVUS transducer detected in each frame of the fluoroscopic image sequence is mapped to a respective location in the detected vessel branch of the angiogram image. Each of the IVUS images is registered to a respective location in the detected vessel branch of the angiogram image based on the mapped location of the IVUS transducer detected in a corresponding frame of the fluoroscopic image sequence.

摘要翻译： 公开了用于血管造影数据和血管内超声（IVUS）数据共同配准的方法和系统。 在血管造影图像中检测血管分支。 当IVUS传感器被拉回血管分支时，从IVUS换能器接收一系列IVUS图像。 当IVUS传感器被拉回通过血管分支时，接收透视图像序列。 在荧光镜图像序列的每个帧中检测IVUS换能器和引导导管尖端。 在荧光镜像图像序列的每个帧中检测到的IVUS换能器被映射到血管造影图像的检测到的血管分支中的相应位置。 基于在荧光镜像图像序列的相应帧中检测到的IVUS换能器的映射位置，将每个IVUS图像登记在血管造影图像的检测的血管分支中的相应位置。

公开(公告)号：US08548213B2

公开(公告)日：2013-10-01

申请号：US13048930

申请日：2011-03-16

申请人： Michael Wels ,  Peng Wang ,  Terrence Chen ,  Simone Prummer ,  Dorin Comaniciu

发明人： Michael Wels ,  Peng Wang ,  Terrence Chen ,  Simone Prummer ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06T7/162 ,  G06T7/12 ,  G06T2207/10121 ,  G06T2207/10132 ,  G06T2207/20076 ,  G06T2207/30021 ,  G06T2207/30101

摘要： A method and system for detecting a guiding catheter in a 2D fluoroscopic image is disclosed. A plurality of guiding catheter centerline segment candidates are detected in the fluoroscopic image. A guiding catheter centerline connecting an input guiding catheter centerline ending point in the fluoroscopic image with an image margin of the fluoroscopic image is detected based on the plurality of guiding catheter centerline segment candidates.

摘要翻译： 公开了一种用于在2D透视图像中检测引导导管的方法和系统。 在透视图像中检测多个引导导管中心线段候选。 基于多个引导导管中心线段候选，检测将荧光镜图像中的输入引导导管中心线终点与荧光透视图像的图像边缘连接的引导导管中心线。

公开(公告)号：US20120093397A1

公开(公告)日：2012-04-19

申请号：US13235747

申请日：2011-09-19

申请人： Peng Wang ,  Terrence Chen ,  Shaohua Kevin Zhou ,  Dorin Comaniciu ,  Martin Ostermeier

发明人： Peng Wang ,  Terrence Chen ,  Shaohua Kevin Zhou ,  Dorin Comaniciu ,  Martin Ostermeier

IPC分类号： G06K9/62

CPC分类号： G06K9/4614 ,  G06K9/6257 ,  G06K9/6282

摘要： Methods and Systems for training a learning based classifier and object detection in medical images is disclosed. In order to train a learning based classifier, positive training samples and negative training samples are generated based on annotated training images. Features for the positive training samples and the negative training samples are extracted. The features include an extended Haar feature set including tip features and corner features. A discriminative classifier is trained based on the extracted features.

摘要翻译： 公开了用于训练医学图像中基于学习的分类器和对象检测的方法和系统。 为了训练基于学习的分类器，基于注释的训练图像生成正训练样本和负训练样本。 提取正训练样本和负训练样本的特征。 功能包括扩展的Haar功能集，包括提示功能和角特征。 基于提取的特征对歧视性分类器进行训练。

公开(公告)号：US20110142318A1

公开(公告)日：2011-06-16

申请号：US12960625

申请日：2010-12-06

申请人： Terrence Chen ,  Xiaoguang Lu ,  Thomas Pohl ,  Peter Durlak ,  Dorin Comaniciu

发明人： Terrence Chen ,  Xiaoguang Lu ,  Thomas Pohl ,  Peter Durlak ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06K9/4614 ,  G06K9/6257 ,  G06T5/50 ,  G06T2207/20224

摘要： Stent viewing is provided in medical imaging. Stent images are provided with minimal or no user input of spatial locations. Images showing contrast agent are distinguished from other images in a sequence. After aligning non-contrast images, the images are compounded to enhance the stent. The contrast agent images are used to identify the vessel. A contrast agent image is aligned with the enhanced stent or other image to determine the relative vessel location. An indication of the vessel wall may be displayed in an image also showing the stent. A preview images may be output. A guide wire may be used to detect the center line for vessel identification. Various detections are performed using a machine-trained classifier or classifiers.

摘要翻译： 在医疗成像中提供支架观察。 支架图像提供最小或没有空间位置的用户输入。 显示造影剂的图像与序列中的其他图像不同。 对准非对比度图像后，复合图像以增强支架。 造影剂图像用于识别血管。 造影剂图像与增强的支架或其他图像对准以确定相对血管位置。 可以在也显示支架的图像中显示血管壁的指示。 可以输出预览图像。 引导线可用于检测用于船舶识别的中心线。 使用机器训练的分类器或分类器执行各种检测。

公开(公告)号：US20110033102A1

公开(公告)日：2011-02-10

申请号：US12774146

申请日：2010-05-05

申请人： Ying Zhu ,  Simone Prummer ,  Peng Wang ,  Terrence Chen ,  Martin Ostermeier ,  Dorin Comaniciu

发明人： Ying Zhu ,  Simone Prummer ,  Peng Wang ,  Terrence Chen ,  Martin Ostermeier ,  Dorin Comaniciu

IPC分类号： G06K9/00

CPC分类号： G06T7/0016 ,  G06T2207/10121 ,  G06T2207/20224 ,  G06T2207/30101

摘要： A method and system for extracting coronary vessels fluoroscopic image sequences using coronary digital subtraction angiography (DSA) are disclosed. A set of mask images of a coronary region is received, and a sequence of contrast images for the coronary region is received. For each contrast image, a motion estimate is calculated between each of the mask images and a background region of the contrast image and a covariance is calculated for each motion estimate. Multiple background layer predictions are generated by generating a background layer prediction for each mask image based on the calculated motion estimate and covariance. The multiple background layer estimates are combined using statistical fusion to generate a final estimated background layer. The final estimated background layer is subtracted from the contrast image to extract a coronary vessel layer for the contrast image.

摘要翻译： 公开了使用冠状动脉数字减影血管造影（DSA）提取冠脉血管荧光镜图像序列的方法和系统。 接收冠状动脉区域的一组掩模图像，并且接收冠状动脉区域的对比度图像序列。 对于每个对比度图像，在每个掩模图像和对比度图像的背景区域之间计算运动估计，并且针对每个运动估计计算协方差。 通过基于计算的运动估计和协方差为每个掩模图像生成背景层预测来生成多个背景层预测。 使用统计融合来组合多个背景层估计以产生最终估计的背景层。 从对比度图像中减去最终估计的背景层，以提取对比度图像的冠状血管层。

公开(公告)号：US20100121181A1

公开(公告)日：2010-05-13

申请号：US12538456

申请日：2009-08-10

申请人： Peng Wang ,  Ying Zhu ,  Wei Zhang ,  Terrence Chen ,  Peter Durlak ,  Ulrich Bill ,  Dorin Comaniciu

发明人： Peng Wang ,  Ying Zhu ,  Wei Zhang ,  Terrence Chen ,  Peter Durlak ,  Ulrich Bill ,  Dorin Comaniciu

IPC分类号： A61B5/05

CPC分类号： A61B6/12 ,  A61B2034/2065 ,  A61B2090/376 ,  G06T7/246 ,  G06T2207/10016 ,  G06T2207/10121 ,  G06T2207/30021

摘要： A method and system for tracking a guidewire in a fluoroscopic image sequence is disclosed. In order to track a guidewire in a fluoroscopic image sequence, guidewire segments are detected in each frame of the fluoroscopic image sequence. The guidewire in each frame of the fluoroscopic image sequence is then detected by rigidly tracking the guidewire from a previous frame of the fluoroscopic image sequence based on the detected guidewire segments in the current frame. The guidewire is then non-rigidly deformed in each frame based on the guidewire position in the previous frame.

摘要翻译： 公开了一种用于跟踪透视图像序列中的导丝的方法和系统。 为了在透视图像序列中跟踪导丝，在荧光镜图像序列的每个帧中检测导丝段。 然后通过基于当前帧中检测到的导丝段从透视图像序列的前一帧刚性跟踪导丝来检测透视图像序列的每个帧中的导丝。 然后基于先前框架中的导丝线位置，导丝在每个框架中不会刚性变形。

公开(公告)号：US11313869B2

公开(公告)日：2022-04-26

申请号：US16604132

申请日：2017-04-13

申请人： Siemens Healthcare Diagnostics Inc. ,  Jiang Tian ,  Stefan Kluckner ,  Shanhui Sun ,  Yao-Jen Chang ,  Terrence Chen ,  Benjamin S. Pollack

发明人： Jiang Tian ,  Stefan Kluckner ,  Shanhui Sun ,  Yao-Jen Chang ,  Terrence Chen ,  Benjamin S. Pollack

IPC分类号： G06K9/00 ,  G01N35/00 ,  G06K7/14 ,  G06K9/20 ,  G06K9/32 ,  G06K9/34 ,  G06K9/62 ,  G06K19/06

摘要： A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for Hemolysis, Icterus, and/or Lipemia, or Normal detection. The method captures one or more images of a labeled specimen container including a serum or plasma portion, processes the one or more images to provide segmentation data and identification of a label-containing region, and classifying the label-containing region with a convolutional neural network (CNN) to provide a pixel-by-pixel (or patch-by-patch) characterization of the label thickness count, which may be used to adjust intensities of regions of a serum or plasma portion having label occlusion. Optionally, the CNN can characterize the label-containing region as one of multiple pre-defined label configurations. Quality check modules and specimen testing apparatus adapted to carry out the method are described, as are other aspects.

公开(公告)号：US11000247B2

公开(公告)日：2021-05-11

申请号：US15878867

申请日：2018-01-24

申请人： Oliver Baruth ,  Terrence Chen

发明人： Oliver Baruth ,  Terrence Chen

IPC分类号： A61B6/12 ,  A61B6/00 ,  H04N5/32 ,  H04N5/232 ,  H04N5/272 ,  G06T7/11 ,  G06T7/70 ,  G06T5/50

摘要： A method is provided for operating a medical imaging X-ray device. The method records an earlier individual image of a series of images of a patient using a recording facility. The location of a medical component is identified, and the medical component is localized in the earlier individual image using a computing facility. A subregion of the earlier individual image is specified, determined by the position of the medical component localized in the earlier individual image and with the localized medical component represented. A later individual image is recorded and the medical component is localized in the later individual image. The later individual image is displayed, the later individual image averaged exclusively region-specifically in the region of the medical component with the subregion of the earlier individual image. Method acts are repeated with the displayed individual image as the earlier individual image to enhance visibility of the medical component.

公开(公告)号：US09524550B2

公开(公告)日：2016-12-20

申请号：US12774146

申请日：2010-05-05

申请人： Ying Zhu ,  Simone Prummer ,  Peng Wang ,  Terrence Chen ,  Martin Ostermeier ,  Dorin Comaniciu

发明人： Ying Zhu ,  Simone Prummer ,  Peng Wang ,  Terrence Chen ,  Martin Ostermeier ,  Dorin Comaniciu

IPC分类号： G06T7/00

CPC分类号： G06T7/0016 ,  G06T2207/10121 ,  G06T2207/20224 ,  G06T2207/30101

摘要： A method and system for extracting coronary vessels fluoroscopic image sequences using coronary digital subtraction angiography (DSA) are disclosed. A set of mask images of a coronary region is received, and a sequence of contrast images for the coronary region is received. For each contrast image, a motion estimate is calculated between each of the mask images and a background region of the contrast image and a covariance is calculated for each motion estimate. Multiple background layer predictions are generated by generating a background layer prediction for each mask image based on the calculated motion estimate and covariance. The multiple background layer estimates are combined using statistical fusion to generate a final estimated background layer. The final estimated background layer is subtracted from the contrast image to extract a coronary vessel layer for the contrast image.

摘要翻译： 公开了使用冠状动脉数字减影血管造影（DSA）提取冠脉血管荧光镜图像序列的方法和系统。 接收冠状动脉区域的一组掩模图像，并且接收冠状动脉区域的对比度图像序列。 对于每个对比度图像，在每个掩模图像和对比度图像的背景区域之间计算运动估计，并且针对每个运动估计计算协方差。 通过基于计算的运动估计和协方差为每个掩模图像生成背景层预测来生成多个背景层预测。 使用统计融合来组合多个背景层估计以产生最终估计的背景层。 从对比度图像中减去最终估计的背景层，以提取对比度图像的冠状血管层。