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公开(公告)号：US20110213243A1
公开(公告)日：2011-09-01
申请号：US13128881
申请日：2009-10-29
IPC分类号： A61B6/03
CPC分类号： G06T19/20 , G06T7/11 , G06T2207/10116 , G06T2207/20004 , G06T2207/30101 , G06T2219/2012
摘要： An angiographic image processing system includes a filtering module (40) configured to filter an angiographic image based on blood vessel diameter (46) to identify neovasculature having small blood vessel diameter, and a display sub-system (32, 70) configured to display the angiographic image with the identified neovasculature. A neovasculature density computation module (72) is configured to compute density of the neovasculature identified by the filtering module (40).
摘要翻译： 血管造影图像处理系统包括：滤波模块（40），被配置为基于血管直径（46）过滤血管造影图像，以识别具有小血管直径的新血管系统;以及显示子系统（32,70），被配置为显示 具有鉴定的新血管系统的血管造影图像。 新血管密度计算模块（72）被配置为计算由过滤模块（40）识别的新血管系统的密度。
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公开(公告)号：US20090088620A1
公开(公告)日：2009-04-02
申请号：US12206808
申请日：2008-09-09
CPC分类号： A61B6/563 , A61B6/508 , A61B6/5247 , A61B6/583 , A61B2503/40 , G01T1/1603 , G06F19/321
摘要： In a clinical or preclinical imaging system, an image acquisition subsystem includes a data acquisition and image reconstruction elements generating clinical or preclinical images. A quantitative image processing subsystem generates variability metadata associated with the clinical or preclinical images, and a clinically or preclinically significant result with an associated confidence interval computed based on the variability metadata. A user interface displays the clinically or preclinically significant result together with the associated confidence interval. A phantom for calibrating such an imaging system includes a deformable nonbiological structure approximating structure of a clinical or preclinical subject to be imaged, and fiducial markers detectable by the imaging system disposed on or in the deformable nonbiological structure to move with deformation of the deformable nonbiological structure.
摘要翻译： 在临床或临床前成像系统中，图像采集子系统包括产生临床或临床前图像的数据采集和图像重建元件。 定量图像处理子系统产生与临床或临床前图像相关联的变异性元数据，以及具有基于可变性元数据计算的相关置信区间的临床或临床前显着的结果。 用户界面显示临床或临床前显着的结果以及相关的置信区间。 用于校准这样的成像系统的体模包括近似待成像的临床或临床前受试者的可变形非生物结构，以及设置在可变形非生物结构上或其中的成像系统可检测的基准标记，以随着可变形非生物结构的变形而移动 。
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公开(公告)号：US09177103B2
公开(公告)日：2015-11-03
申请号：US13575772
申请日：2011-01-28
申请人： Yogish Mallya , Shivakumar Kunigal Ramaswamy , Narayanan Ayyakad Krishnan , Lyubomir Georgiev Zagorchev
发明人： Yogish Mallya , Shivakumar Kunigal Ramaswamy , Narayanan Ayyakad Krishnan , Lyubomir Georgiev Zagorchev
IPC分类号： G06F19/00
CPC分类号： G06F19/321 , G06F19/00 , G16H10/20
摘要： A system for processing multi-subject volumes comprises a volume input (1) for receiving an input volume image dataset (13) comprising a plurality of subjects scanned simultaneously. A metadata input (2) receives metadata (15) relating to individual ones of the subjects. A subject finder (3) identifies a plurality of portions of the input volume image dataset (13), each portion comprising one of the subjects. A volume image dataset generator (4) generates a plurality of separate volume image datasets (16), each separate volume image dataset (7) comprising one of the portions of the input volume image dataset. A metadata handler (5) associates the metadata (15) relating to a subject with the separate volume image dataset (7) comprising the portion comprising the subject.
摘要翻译： 一种用于处理多目标体积的系统包括用于接收包括同时扫描的多个被摄体的输入体积图像数据集（13）的体积输入（1）。 元数据输入（2）接收与个体个体有关的元数据（15）。 主体取景器（3）识别输入音量图像数据集（13）的多个部分，每个部分包括其中一个被摄体。 卷图像数据集生成器（4）生成多个单独的卷图像数据集（16），每个单独的卷图像数据集（7）包括输入卷图像数据集的部分之一。 元数据处理器（5）将与被摄体有关的元数据（15）与包括该对象的部分的单独的卷图像数据集（7）相关联。
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公开(公告)号：US20120321153A1
公开(公告)日：2012-12-20
申请号：US13580166
申请日：2011-02-08
IPC分类号： G06K9/00
CPC分类号： G06T7/0081 , A61B6/037 , A61B6/469 , A61B6/503 , A61B6/507 , G06T7/0012 , G06T7/11 , G06T7/136 , G06T2207/10108 , G06T2207/20104 , G06T2207/20132 , G06T2207/30048
摘要： A method for cardiac imaging for determining a myocardial region of interest (ROI) is disclosed. The method includes acquiring functional imaging data of a subject, where the functional imaging data includes at least the myocardium. A ROI encompassing at most the myocardium from the acquired functional imaging data, and diagnostic parameters relating to the myocardium are estimated and quantified based on the determined ROI. In one embodiment, the ROI is determined from a projection image representation utilizing histogram based thresholding and ray casting based localization to determine the extents of the ROI. In another embodiment, the ROI is determined from a volumetric image representation utilizing clustering Manhattan distance based cleaning to determine cardiac angles used for reorienting the left ventricle.
摘要翻译： 公开了用于确定感兴趣心肌区域（ROI）的心脏成像方法。 该方法包括获取对象的功能成像数据，其中功能成像数据至少包括心肌。 基于所确定的ROI，估计和量化从所获得的功能成像数据中至多包含心肌的ROI和与心肌相关的诊断参数。 在一个实施例中，ROI利用基于直方图的阈值和基于射线铸造的定位来确定ROI的范围的投影图像表示来确定。 在另一个实施例中，利用基于曼哈顿距离的清洗的体积图像表示来确定ROI，以确定用于重新定向左心室的心脏角度。
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公开(公告)号：US20120308097A1
公开(公告)日：2012-12-06
申请号：US13575772
申请日：2011-01-28
申请人： Yogish Mallya , Shivakumar Kunigal Ramaswamy , Narayanan Ayyakad Krishnan , Lyubomir Georgiev Zagorchev
发明人： Yogish Mallya , Shivakumar Kunigal Ramaswamy , Narayanan Ayyakad Krishnan , Lyubomir Georgiev Zagorchev
IPC分类号： G06K9/62
CPC分类号： G06F19/321 , G06F19/00 , G16H10/20
摘要： A system for processing multi-subject volumes comprises a volume input (1) for receiving an input volume image dataset (13) comprising a plurality of subjects scanned simultaneously. A metadata input (2) receives metadata (15) relating to individual ones of the subjects. A subject finder (3) identifies a plurality of portions of the input volume image dataset (13), each portion comprising one of the subjects. A volume image dataset generator (4) generates a plurality of separate volume image datasets (16), each separate volume image dataset (7) comprising one of the portions of the input volume image dataset. A metadata handler (5) associates the metadata (15) relating to a subject with the separate volume image dataset (7) comprising the portion comprising the subject.
摘要翻译： 一种用于处理多目标体积的系统包括用于接收包括同时扫描的多个被摄体的输入体积图像数据集（13）的体积输入（1）。 元数据输入（2）接收与个体个体有关的元数据（15）。 主体取景器（3）识别输入音量图像数据集（13）的多个部分，每个部分包括其中一个被摄体。 卷图像数据集生成器（4）生成多个单独的卷图像数据集（16），每个单独的卷图像数据集（7）包括输入卷图像数据集的部分之一。 元数据处理器（5）将与被摄体有关的元数据（15）与包括该对象的部分的单独的卷图像数据集（7）相关联。
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公开(公告)号：US09245336B2
公开(公告)日：2016-01-26
申请号：US13993142
申请日：2011-12-13
申请人： Yogish Mallya , Timothy Poston
发明人： Yogish Mallya , Timothy Poston
CPC分类号： G06T7/0012 , G06T7/30 , G06T2207/10072
摘要： A method includes obtaining first volumetric image data, which is acquired at a first time, including a region of interest with a structural feature located at a first position. The method further includes obtaining second volumetric image data, which is acquired at a second different time, including the region of interest with the structural feature located at a second different position. The method further includes determining a registration transformation that registers the first and second volumetric image data such that the at least one structural feature in the first volumetric image data aligns with the at least one structural feature in the second volumetric image data. The registration transformation is based at least on a contour guided deformation registration. The method further includes generating a signal indicative of the registration transformation.
摘要翻译： 一种方法包括获得第一时间获取的第一体积图像数据，所述第一体积图像数据包括具有位于第一位置的结构特征的感兴趣区域。 该方法还包括获得在第二不同时间获取的第二体积图像数据，所述第二体积图像数据包括位于第二不同位置处的结构特征的感兴趣区域。 该方法还包括确定注册变换，其注册第一和第二体积图像数据，使得第一体积图像数据中的至少一个结构特征与第二体积图像数据中的至少一个结构特征对齐。 注册变换至少基于轮廓引导变形配准。 该方法还包括产生指示登记变换的信号。
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公开(公告)号：US20130259335A1
公开(公告)日：2013-10-03
申请号：US13993142
申请日：2011-12-13
申请人： Yogish Mallya , Timothy Poston
发明人： Yogish Mallya , Timothy Poston
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , G06T7/30 , G06T2207/10072
摘要： A method includes obtaining first volumetric image data, which is acquired at a first time, including a region of interest with a structural feature located at a first position. The method further includes obtaining second volumetric image data, which is acquired at a second different time, including the region of interest with the structural feature located at a second different position. The method further includes determining a registration transformation that registers the first and second volumetric image data such that the at least one structural feature in the first volumetric image data aligns with the at least one structural feature in the second volumetric image data. The registration transformation is based at least on a contour guided deformation registration. The method further includes generating a signal indicative of the registration transformation.
摘要翻译： 一种方法包括获得第一时间获取的第一体积图像数据，所述第一体积图像数据包括具有位于第一位置的结构特征的感兴趣区域。 该方法还包括获得在第二不同时间获取的第二体积图像数据，所述第二体积图像数据包括位于第二不同位置处的结构特征的感兴趣区域。 该方法还包括确定注册变换，其注册第一和第二体积图像数据，使得第一体积图像数据中的至少一个结构特征与第二体积图像数据中的至少一个结构特征对齐。 注册变换至少基于轮廓引导变形配准。 该方法还包括产生指示登记变换的信号。
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公开(公告)号：US08417319B2
公开(公告)日：2013-04-09
申请号：US13128881
申请日：2009-10-29
IPC分类号： A61B6/03
CPC分类号： G06T19/20 , G06T7/11 , G06T2207/10116 , G06T2207/20004 , G06T2207/30101 , G06T2219/2012
摘要： An angiographic image processing system includes a filtering module (40) configured to filter an angiographic image based on blood vessel diameter (46) to identify neovasculature having small blood vessel diameter, and a display sub-system (32, 70) configured to display the angiographic image with the identified neovasculature. A neovasculature density computation module (72) is configured to compute density of the neovasculature identified by the filtering module (40).
摘要翻译： 血管造影图像处理系统包括：滤波模块（40），被配置为基于血管直径（46）过滤血管造影图像，以识别具有小血管直径的新血管系统;以及显示子系统（32,70），被配置为显示 具有鉴定的新血管系统的血管造影图像。 新血管密度计算模块（72）被配置为计算由过滤模块（40）识别的新血管系统的密度。
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公开(公告)号：US09715754B2
公开(公告)日：2017-07-25
申请号：US13813721
申请日：2011-08-01
申请人： Daniel Bystrov , Nicole Schadewaldt , Heinrich Schulz , Torbjoern Vik , Yogish Mallya , Prashant Kumar
发明人： Daniel Bystrov , Nicole Schadewaldt , Heinrich Schulz , Torbjoern Vik , Yogish Mallya , Prashant Kumar
CPC分类号： G06T15/00 , G06T7/10 , G06T7/11 , G06T7/149 , G06T19/20 , G06T2207/10072 , G06T2210/41 , G06T2219/2021
摘要： Interactive mesh deformation for in-plane 3D segmentation/delineation for radiation therapy planning done on a slice by slice basis of a region/a volume of interest (VOI, ROI). Segmentation starts by some automatic 3D algorithm approximating the organ surface roughly by some triangular surface mesh which mesh is afterwards manually refined by the user who deforms it to bring it closer to the region of interest. The deformation is an invertible, i.e. one-to-one, mapping avoiding self-intersections of the deformed mesh thereby preserving the topology of the anatomy. The deformation mapping involves a Gaussian function (Gaussian deformation kernel) restricting the deformation to a local region. The user picks with the pointer a start point on a selected image slice through the volume and moves it to some end point. The distance the mesh vertices move decreases exponentially with the distance to the start point. Additionally, surface mesh resolution is increased by iteratively subdividing mesh triangles in the vicinity of a user-selected contour in a surface mesh until every pixel or voxel contains at least one triangle vertex.
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公开(公告)号：US08958620B2
公开(公告)日：2015-02-17
申请号：US13580166
申请日：2011-02-08
CPC分类号： G06T7/0081 , A61B6/037 , A61B6/469 , A61B6/503 , A61B6/507 , G06T7/0012 , G06T7/11 , G06T7/136 , G06T2207/10108 , G06T2207/20104 , G06T2207/20132 , G06T2207/30048
摘要： A method for cardiac imaging for determining a myocardial region of interest (ROI) is disclosed. The method includes acquiring functional imaging data of a subject, where the functional imaging data includes at least the myocardium. A ROI encompassing at most the myocardium from the acquired functional imaging data, and diagnostic parameters relating to the myocardium are estimated and quantified based on the determined ROI. In one embodiment, the ROI is determined from a projection image representation utilizing histogram based thresholding and ray casting based localization to determine the extents of the ROI. In another embodiment, the ROI is determined from a volumetric image representation utilizing clustering Manhattan distance based cleaning to determine cardiac angles used for reorienting the left ventricle.
摘要翻译： 公开了用于确定感兴趣心肌区域（ROI）的心脏成像方法。 该方法包括获取对象的功能成像数据，其中功能成像数据至少包括心肌。 基于所确定的ROI，估计和量化从所获得的功能成像数据中至多包含心肌的ROI和与心肌相关的诊断参数。 在一个实施例中，ROI利用基于直方图的阈值和基于射线铸造的定位来确定ROI的范围的投影图像表示来确定。 在另一个实施例中，利用基于曼哈顿距离的清洗的体积图像表示来确定ROI，以确定用于重新定向左心室的心脏角度。
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