公开(公告)号：US08483432B2

公开(公告)日：2013-07-09

申请号：US12645781

申请日：2009-12-23

Applicant: Kedar Anil Patwardhan ,  Sandeep N Gupta ,  David M Mills ,  Aaron M Dentinger ,  Yongjian Yu

Inventor： Kedar Anil Patwardhan ,  Sandeep N Gupta ,  David M Mills ,  Aaron M Dentinger ,  Yongjian Yu

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/34

CPC classification number: G06T7/0012 ,  A61B8/0891 ,  A61B8/483 ,  A61B8/523 ,  G06T7/149 ,  G06T7/251 ,  G06T7/277 ,  G06T2207/10136 ,  G06T2207/20101 ,  G06T2207/20116 ,  G06T2207/30101

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

公开(公告)号：US06687528B2

公开(公告)日：2004-02-03

申请号：US09967297

申请日：2001-09-28

Applicant: Sandeep N. Gupta ,  Garth M. Beache ,  Daniel A. Herzka

Inventor： Sandeep N. Gupta ,  Garth M. Beache ,  Daniel A. Herzka

IPC: A61B5055

CPC classification number: A61B5/0555 ,  G01R33/50 ,  G01R33/56308

Abstract: The present invention is a method and apparatus for semi-automatically registering low signal to noise ratio relaxation-time images, with particular application to tracking motion in moving organs and quantifying myocardial perfusion reserve. For each image acquired in a time series, a corresponding high signal to noise ratio image is extrapolated from the collected data. The high signal to noise ratio images are registered to track motion, and the resulting registration data is copied onto the corresponding relaxation time image.

Abstract translation: 本发明是一种用于半自动对准低信噪比松弛时间图像的方法和装置，特别适用于移动器官中的跟踪运动并量化心肌灌注储备。 对于以时间序列获取的每个图像，从所收集的数据外推相应的高信噪比图像。 登录高信噪比图像以跟踪运动，并将所得到的登记数据复制到对应的松弛时间图像上。

公开(公告)号：US07620227B2

公开(公告)日：2009-11-17

申请号：US11321510

申请日：2005-12-29

Applicant: David Thomas Gering ,  Gopal B. Avinash ,  Sandeep N. Gupta

Inventor： David Thomas Gering ,  Gopal B. Avinash ,  Sandeep N. Gupta

IPC: G06K9/00 ,  A61B5/05

CPC classification number: A61B5/055 ,  A61B5/7264 ,  A61B90/36 ,  A61B2090/364 ,  G06K9/3233 ,  G06K2209/05 ,  G06T7/0012 ,  G06T7/11 ,  G06T7/143 ,  G06T2207/10076 ,  G06T2207/20104 ,  G06T2207/30068 ,  G06T2207/30096

Abstract: A computer-aided detection system for evaluating tissue based on a series of timed images acquired both before and after a contrast agent is administered performs a temporal analysis of the tissue and then a spatial analysis in which the tissue is categorized. After the temporal and spatial analysis is performed, the results can be displayed. The displayed results can include both tissue characterization results, underlying curves used to determine the characterization, and confidence data regarding how good the characterization is expected to be. The confidence data can be provided, for example, by using variations in color schemes, displaying numerical confidence levels, or providing graphical features such as piecewise linear models.

Abstract translation: 用于基于在施用造影剂之前和之后获取的一系列定时图像来评估组织的计算机辅助检测系统执行组织的时间分析，然后对组织进行分类的空间分析。 执行时间和空间分析后，可以显示结果。 显示的结果可以包括组织表征结果，用于确定表征的底层曲线，以及关于预期表征有多好的置信度数据。 可以例如通过使用配色方案中的变化，显示数字置信水平或提供诸如分段线性模型的图形特征来提供置信数据。

公开(公告)号：US20110150274A1

公开(公告)日：2011-06-23

申请号：US12645781

申请日：2009-12-23

Applicant: Kedar Anil Patwardhan ,  Sandeep N. Gupta ,  David M. Mills ,  Aaron M. Dentinger ,  Yongjian Yu

Inventor： Kedar Anil Patwardhan ,  Sandeep N. Gupta ,  David M. Mills ,  Aaron M. Dentinger ,  Yongjian Yu

IPC: G06K9/00 ,  G06K9/62 ,  G06K9/34

CPC classification number: G06T7/0012 ,  A61B8/0891 ,  A61B8/483 ,  A61B8/523 ,  G06T7/149 ,  G06T7/251 ,  G06T7/277 ,  G06T2207/10136 ,  G06T2207/20101 ,  G06T2207/20116 ,  G06T2207/30101

Abstract: In one embodiment, a method of detecting centerline of a vessel is provided. The method comprises steps of acquiring a 3D image volume, initializing a centerline, initializing a Kalman filter, predicting a next center point using the Kalman filter, checking validity of the prediction made using the Kalman filter, performing template matching, updating the Kalman filter based on the template matching and repeating the steps of predicting, checking, performing and updating for a predetermined number of times. Methods of automatic vessel segmentation and temporal tracking of the segmented vessel is further described with reference to the method of detecting centerline.

Abstract translation: 在一个实施例中，提供了一种检测容器的中心线的方法。 该方法包括以下步骤：获取3D图像体积，初始化中心线，初始化卡尔曼滤波器，使用卡尔曼滤波器预测下一个中心点，检查使用卡尔曼滤波器进行的预测的有效性，执行模板匹配，基于卡尔曼滤波器更新 在模板匹配上重复预测，检查，执行和更新预定次数的步骤。 参考检测中心线的方法进一步描述了分段血管的自动血管分割和时间跟踪的方法。

公开(公告)号：US07685262B2

公开(公告)日：2010-03-23

申请号：US10350529

申请日：2003-01-24

Applicant: Suresh K. Choubey ,  Tsur Bernstein ,  Sandeep N. Gupta ,  Mohsin S. Dawoodbhai ,  April Dorcas ,  Ashish M. Shah ,  Mani Sundararajan ,  John W. Zingsheim

Inventor： Suresh K. Choubey ,  Tsur Bernstein ,  Sandeep N. Gupta ,  Mohsin S. Dawoodbhai ,  April Dorcas ,  Ashish M. Shah ,  Mani Sundararajan ,  John W. Zingsheim

IPC: G06F15/177

CPC classification number: G06F19/325 ,  G06F19/00 ,  G06Q50/22 ,  G06Q50/24 ,  H04L67/06 ,  H04L67/12 ,  H04L69/329

Abstract: A technique is provided for sharing clinical protocols for diagnostic imaging systems. The clinical protocols generally represent operational parameters, such as configuration data and procedures, which are clinically developed for a particular imaging diagnosis. An interface or access point, such as a network accessible database or website, is provided to facilitate the exchange of these clinical protocols between clinicians. The present technique also may facilitate the formation of new clinical protocols and/or the integration of new clinical protocols into various diagnostic imaging systems. Accordingly, clinicians can electronically exchange and configure a variety of imaging protocols for potentially greater quality in the particular imaging diagnosis.

Abstract translation: 提供了一种用于共享诊断成像系统的临床协议的技术。 临床协议通常表示对于特定成像诊断临床开发的操作参数，例如配置数据和程序。 提供接口或接入点，例如网络可访问数据库或网站，以便于临床医生之间交换这些临床协议。 本技术还可以促进新的临床协议的形成和/或将新的临床协议集成到各种诊断成像系统中。 因此，临床医生可以电子交换和配置各种成像协议，以在特定成像诊断中潜在地提高质量。