Determining a Three-dimensional Model Dataset of a Blood Vessel System with at least One Vessel Segment
    52.
    发明申请
    Determining a Three-dimensional Model Dataset of a Blood Vessel System with at least One Vessel Segment 有权
    确定具有至少一个血管段的血管系统的三维模型数据集

    公开(公告)号:US20160012636A1

    公开(公告)日:2016-01-14

    申请号:US14789413

    申请日:2015-07-01

    摘要: A three-dimensional model dataset of a blood vessel system of a patient including at least one the vessel system is determined from a number of projection images, which have been recorded from different recording angles, of the blood vessel system The projection images are divided up into image areas each containing at least one pixel. A feature vector is determined for each of the image areas. Classification information, which describes how the respective image area belongs or does not belong to a vessel segment of the blood vessel system defined in accordance with anatomical specification data, is defined for each of the image areas by applying a classification function to the feature vector assigned to the image area. The classification function has been trained by training data records annotated with classification information obtained from at least one person other than the patient. The blood vessel system in the projection images is segmented by grouping image areas with the same classification information. The three-dimensional model dataset is calculated as a function of the segmented projection images and the classification information.

    摘要翻译: 包括至少一个血管系统的患者的血管系统的三维模型数据集是从血管系统的不同记录角度记录的多个投影图像确定的。将投影图像分割 到每个包含至少一个像素的图像区域中。 为每个图像区域确定特征向量。 通过对分配的特征矢量应用分类函数,对每个图像区域分别描述各个图像区域属于或不属于根据解剖规范数据定义的血管系统的血管段的分类信息 到图像区域。 分类功能已经通过训练用从患者以外的至少一个人获得的分类信息注释的数据记录来训练。 投影图像中的血管系统通过对具有相同分类信息的图像区域进行分组。 三维模型数据集被计算为分段投影图像和分类信息的函数。

    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis
    53.
    发明申请
    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis 审中-公开
    冠状动脉狭窄无创功能评估方法与系统

    公开(公告)号:US20140058715A1

    公开(公告)日:2014-02-27

    申请号:US14070810

    申请日:2013-11-04

    IPC分类号: G06F19/00

    摘要: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

    摘要翻译: 公开了冠状动脉狭窄非侵入性评估的方法和系统。 从休息状态下获得的患者的医学图像数据中提取冠状动脉的患者特异性解剖学测量。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量,计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量,计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 使用冠状动脉循环模型和患者特异性充血边界条件模拟冠状动脉至少一个狭窄区域的血流量和压力。 基于模拟的充血血流量和压力计算至少一个狭窄区域的分数流量储备(FFR)。

    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis
    54.
    发明申请
    Method and System for Non-Invasive Functional Assessment of Coronary Artery Stenosis 审中-公开
    冠状动脉狭窄无创功能评估方法与系统

    公开(公告)号:US20130246034A1

    公开(公告)日:2013-09-19

    申请号:US13794113

    申请日:2013-03-11

    IPC分类号: G06F19/12

    摘要: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions. Fractional flow reserve (FFR) is calculated for the at least one stenosis region based on the simulated hyperemic blood flow and pressure.

    摘要翻译: 公开了冠状动脉狭窄非侵入性评估的方法和系统。 从休息状态下获得的患者的医学图像数据中提取冠状动脉的患者特异性解剖学测量。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量,计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 基于患者特异性解剖学测量和静息患者的非侵入性临床测量,计算代表冠状动脉的冠状动脉循环模型的患者特异性休息状态边界条件。 使用冠状动脉循环模型和患者特异性充血边界条件模拟冠状动脉至少一个狭窄区域的血流量和压力。 基于模拟的充血血流量和压力计算至少一个狭窄区域的分数流量储备(FFR)。

    METHOD FOR IMAGE GENERATION AND IMAGE EVALUATION
    56.
    发明申请
    METHOD FOR IMAGE GENERATION AND IMAGE EVALUATION 有权
    用于图像生成和图像评估的方法

    公开(公告)号:US20130004037A1

    公开(公告)日:2013-01-03

    申请号:US13531841

    申请日:2012-06-25

    IPC分类号: G06K9/62

    摘要: In a method for image generation and image evaluation in the medical field, raw data are generated by a selected medical modality, in particular a computed tomography scanner, depending on given modality parameters, and image data are generated from the raw data using an image reconstruction depending on given reconstruction parameters. The image data are evaluated by a given analysis application. Before acquiring the raw data, a secondary application automatically proposes a set of parameter values for the modality parameters and/or for the reconstruction parameters coordinated to the given analysis application and/or given patient information.

    摘要翻译: 在医疗领域中用于图像生成和图像评估的方法中,根据给定的模态参数,通过选择的医疗模式,特别是计算机断层扫描仪生成原始数据,并且使用图像重建从原始数据生成图像数据 取决于给定的重建参数。 图像数据由给定的分析应用程序进行评估。 在获取原始数据之前,辅助应用程序自动提出一组模型参数和/或与给定分析应用程序和/或给定患者信息协调的重建参数的参数值。

    Method and system for detecting 3D anatomical structures using constrained marginal space learning
    57.
    发明授权
    Method and system for detecting 3D anatomical structures using constrained marginal space learning 有权
    使用约束边际空间学习检测3D解剖结构的方法和系统

    公开(公告)号:US08116548B2

    公开(公告)日:2012-02-14

    申请号:US12471761

    申请日:2009-05-26

    IPC分类号: G06K9/00

    摘要: A method and apparatus for detecting 3D anatomical objects in medical images using constrained marginal space learning (MSL) is disclosed. A constrained search range is determined for an input medical image volume based on training data. A first trained classifier is used to detect position candidates in the constrained search range. Position-orientation hypotheses are generated from the position candidates using orientation examples in the training data. A second trained classifier is used to detect position-orientation candidates from the position-orientation hypotheses. Similarity transformation hypotheses are generated from the position-orientation candidates based on scale examples in the training data. A third trained classifier is used to detect similarity transformation candidates from the similarity transformation hypotheses, and the similarity transformation candidates define the position, translation, and scale of the 3D anatomic object in the medical image volume.

    摘要翻译: 公开了一种使用受限边际空间学习(MSL)检测医学图像中3D解剖学对象的方法和装置。 基于训练数据确定输入医学图像体积的约束搜索范围。 第一训练分类器用于检测约束搜索范围内的位置候选。 使用训练数据中的取向示例从位置候选者生成位置取向假设。 第二训练分类器用于从位置定向假设检测位置方向候选。 基于训练数据中的比例示例,从位置定位候选生成相似度转换假设。 第三训练分类器用于从相似变换假设检测相似变换候选,并且相似变换候选定义医学图像体积中的3D解剖对象的位置,平移和比例。

    Method and system for measuring left ventricle volume
    58.
    发明授权
    Method and system for measuring left ventricle volume 有权
    测量左心室体积的方法和系统

    公开(公告)号:US08098918B2

    公开(公告)日:2012-01-17

    申请号:US12228911

    申请日:2008-08-18

    IPC分类号: G06K9/00

    摘要: A method and system for measuring the volume of the left ventricle (LV) in a 3D medical image, such as a CT, volume is disclosed. Heart chambers are segmented in the CT volume, including at least the LV endocardium and the LV epicardium. An optimal threshold value is automatically determined based on voxel intensities within the LV endocardium and voxel intensities between the LV endocardium and the LV epicardium. Voxels within the LV endocardium are labeled as blood pool voxels or papillary muscle voxels based on the optimal threshold value. The LV volume can be measured excluding the papillary muscles based on the number of blood pool voxels, and the LV volume can be measured including the papillary muscles based on the total number of voxels within the LV endocardium.

    摘要翻译: 公开了一种用于测量3D医学图像(例如CT)体积中的左心室(LV)的体积的方法和系统。 心室在CT体积中分段,至少包括LV心内膜和LV心外膜。 基于LV心内膜内的体素强度和LV心内膜与LV心外膜之间的体素强度自动确定最佳阈值。 基于最佳阈值将LV心内膜内的体素标记为血池体素或乳头肌肉体素。 基于血液池体素的数量可以除去乳头肌之外的LV体积,并且可以基于LV心内膜中的体素总数来测量LV体积,包括乳头肌。

    METHOD AND DEVICE FOR POST-PROCESSING MEASURED VALUES REGISTERED BY WAY OF AN IMAGING SYSTEM
    60.
    发明申请
    METHOD AND DEVICE FOR POST-PROCESSING MEASURED VALUES REGISTERED BY WAY OF AN IMAGING SYSTEM 有权
    用于后处理通过成像系统方式记录的测量值的方法和装置

    公开(公告)号:US20110007953A1

    公开(公告)日:2011-01-13

    申请号:US12827275

    申请日:2010-06-30

    IPC分类号: G06K9/00

    摘要: A method is disclosed for post-processing measured values of a tissue region including at least part of a heart, which measured values were registered by way of an imaging system. In at least one embodiment, the method includes at least: generating an at least three-dimensional data record from the measured values; analyzing the at least three-dimensional data record and generating parameter maps in respect of at least two of the following parameters: thickness and/or change in thickness of a myocardial wall, movement of the myocardial wall, local blood-supply values for defined spatial regions of the heart; automatically generating a results parameter map on the basis of the generated parameter maps according to fixed rules; and outputting the results parameter map. Moreover, at least one embodiment of the invention relates to a correspondingly designed device.

    摘要翻译: 公开了一种用于后处理包括至少部分心脏的组织区域的测量值的方法,该测量值通过成像系统登记。 在至少一个实施例中,该方法至少包括:从测量值生成至少三维数据记录; 分析所述至少三维数据记录并针对以下参数中的至少两个生成参数图:心肌壁的厚度和/或厚度变化,心肌壁的运动,用于定义的空间的局部血液供应值 心脏地区 根据固定规则,根据生成的参数图自动生成结果参数图; 并输出结果参数图。 此外,本发明的至少一个实施例涉及相应设计的装置。