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1. 发明授权

US09014442B2 Methods and apparatus for identifying a region of interest in a medical image 有权
标题翻译：用于识别医学图像中的感兴趣区域的方法和装置
公开(公告)号：US09014442B2
公开(公告)日：2015-04-21
申请号：US13304857
申请日：2011-11-28
申请人： Matthew David Kelly , Kinda Anna Saddi
发明人： Matthew David Kelly , Kinda Anna Saddi
IPC分类号： G06K9/00 , G06T7/00
CPC分类号： G06T7/0081 , G06T7/11 , G06T2207/10104 , G06T2207/10108 , G06T2207/20104 , G06T2207/30096
摘要： In a method or apparatus for identifying a region of interest in a medical image of a subject, at least one local maximum region of the image is determined for which a value of a given variable is a local maximum value. A user-selection of an initial voxel in the image is registered. As the region of interest, a connected set of voxels for which values of the given variable are greater than a threshold is selected, the selected set of voxels comprising a first local maximum region at a distance from the user-selected voxel, and the threshold being a given fraction of the local maximum value of the first local maximum region in the set.
摘要翻译：在用于识别对象的医学图像中的感兴趣区域的方法或装置中，确定图像的至少一个局部最大区域，给定变量的值对于该局部最大值是局部最大值。注册图像中初始体素的用户选择。作为感兴趣区域，选择给定变量的值大于阈值的连续的一组体素，所选择的体素集合包括距离用户选择的体素一定距离的第一局部最大区域和阈值是集合中第一局部最大区域的局部最大值的给定分数。

2. 发明授权

US08131038B2 System and method for global-to-local shape matching for automatic liver segmentation in medical imaging 有权
标题翻译：用于医学成像中自动肝分割的全局到局部形状匹配的系统和方法
公开(公告)号：US08131038B2
公开(公告)日：2012-03-06
申请号：US12189276
申请日：2008-08-11
申请人： Kinda Anna Saddi , Mikael Rousson
发明人： Kinda Anna Saddi , Mikael Rousson
IPC分类号： G06K9/00
CPC分类号： G06K9/6209 , G06K2209/051 , G06T7/11 , G06T2207/20161 , G06T2207/30056
摘要： A method for automatically segmenting a liver in digital medical images includes providing a 3-dimensional (3D) digital image I and a set of N training shapes {φi}i=1, . . . , N for a liver trained from a set of manually segmented images, selecting a seed point to initialize the segmentation, representing a level set function φα(θx+h) of a liver boundary Γ in the image as ϕ α ⁡ ( x ) = ϕ 0 + ∑ i = 1 n ⁢ α i ⁢ V i ⁡ ( x ) , ⁢ where ⁢ ϕ 0 ⁡ ( x ) = 1 N ⁢ ∑ i = 1 N ⁢ ϕ i ⁡ ( x ) is a mean shape, {Vi(x)}i=1, . . . , n are eigenmodes where n
摘要翻译：用于在数字医学图像中自动分割肝脏的方法包括提供三维（3D）数字图像I和一组N个训练形状{＆phgr; i} i = 1。。。，用于从一组手动分割图像训练的肝脏，选择种子点来初始化分割，代表肝脏边界＆Ggr的水平集函数＆lt;α（＆amp; t; x + h）; 在形象与＆phis; α⁡（x）=＆phis; 0 +Σi = 1nαi V i⁡（x），where＆phis; 0⁡（x）= 1NΣi= 1 N＆phis; i⁡（x）是平均形状，{Vi（x）} i = 1，。。。，n是本征模式，其中n

3. 发明授权

US07483034B2 System and method for GPU-based 3D nonrigid registration 有权
标题翻译：基于GPU的3D非刚性注册的系统和方法
公开(公告)号：US07483034B2
公开(公告)日：2009-01-27
申请号：US11062962
申请日：2005-02-22
申请人： Christophe Chefd'hotel , Kinda Anna Saddi
发明人： Christophe Chefd'hotel , Kinda Anna Saddi
IPC分类号： G09G5/00
CPC分类号： G06T15/04 , G06T7/30 , G06T15/005
摘要： A method of registering two images using a graphics processing unit includes providing a pair of images with a first and second image, calculating a gradient of the second image, initializing a displacement field on the grid point domain of the pair of images, generating textures for the first image, the second image, the gradient, and the displacement field, and loading said textures into the graphics processing unit. A pixel buffer is created and initialized with the texture containing the displacement field. The displacement field is updated from the first image, the second image, and the gradient for one or more iterations in one or more rendering passes performed by the graphics processing unit.
摘要翻译：使用图形处理单元登记两个图像的方法包括：提供一对具有第一和第二图像的图像，计算第二图像的梯度，初始化该对图像的网格点域上的位移场，生成纹理，第一图像，第二图像，渐变和位移场，并将所述纹理加载到图形处理单元中。使用包含位移字段的纹理创建和初始化像素缓冲区。从图形处理单元执行的一个或多个渲染通过中的一个或多个迭代的第一图像，第二图像和梯度更新位移场。

4. 发明申请

US20120308106A1 METHOD AND APPARATUS FOR MEASURING ACTIVITY OF A TRACER 有权
标题翻译：用于测量跟踪器的活动的方法和装置
公开(公告)号：US20120308106A1
公开(公告)日：2012-12-06
申请号：US13486200
申请日：2012-06-01
申请人： Matthew David Kelly , Kinda Anna Saddi
发明人： Matthew David Kelly , Kinda Anna Saddi
IPC分类号： G06K9/46
CPC分类号： G06T7/20 , G06T2207/10104 , G06T2207/10108 , G06T2207/30096
摘要： In a method and apparatus for measuring activity of a tracer in a subject in a medical imaging protocol, comparable features in each of a time series of image data sets of the subject are detected. A first activity value for a first region of interest containing a first of the features in a first image data set is obtained, and a size of the first feature is measured. The first activity value is then modified using the measured size of the first feature. A second activity value for a second region of interest containing a second of the features in a second image data set is obtained. The modified first activity value and the second activity value are then combined to produce a measure of activity of the tracer over the time series.
摘要翻译：在用于测量医学成像协议中的受试者中的示踪剂的活性的方法和装置中，检测对象的时间序列图像数据集中的每一个中的相似特征。获得包含第一图像数据集中的第一特征的第一感兴趣区域的第一活动值，并且测量第一特征的大小。然后使用第一个要素的测量尺寸修改第一个活动值。获得包含第二图像数据集中的第二特征的第二感兴趣区域的第二活动值。然后将修改的第一活性值和第二活性值组合以产生跟踪剂在时间序列上的活性的量度。

5. 发明申请

US20120134557A1 METHODS AND APPARATUS FOR IDENTIFYING A REGION OF INTEREST IN A MEDICAL IMAGE 有权
标题翻译：用于识别医学图像中的兴趣区域的方法和装置
公开(公告)号：US20120134557A1
公开(公告)日：2012-05-31
申请号：US13304857
申请日：2011-11-28
申请人： Matthew David Kelly , Kinda Anna Saddi
发明人： Matthew David Kelly , Kinda Anna Saddi
IPC分类号： G06K9/46
CPC分类号： G06T7/0081 , G06T7/11 , G06T2207/10104 , G06T2207/10108 , G06T2207/20104 , G06T2207/30096
摘要： In a method or apparatus for identifying a region of interest in a medical image of a subject, at least one local maximum region of the image is determined for which a value of a given variable is a local maximum value. A user-selection of an initial voxel in the image is registered. As the region of interest, a connected set of voxels for which values of the given variable are greater than a threshold is selected, the selected set of voxels comprising a first local maximum region at a distance from the user-selected voxel, and the threshold being a given fraction of the local maximum value of the first local maximum region in the set.
摘要翻译：在用于识别对象的医学图像中的感兴趣区域的方法或装置中，确定图像的至少一个局部最大区域，给定变量的值对于该局部最大值是局部最大值。注册图像中初始体素的用户选择。作为感兴趣区域，选择给定变量的值大于阈值的连续的一组体素，所选择的体素集合包括距离用户选择的体素一定距离的第一局部最大区域和阈值是集合中第一局部最大区域的局部最大值的给定分数。

6. 发明授权

US09171366B2 Method for localization of an epileptic focus in neuroimaging 有权
标题翻译：癫痫焦点在神经影像学中的定位方法
公开(公告)号：US09171366B2
公开(公告)日：2015-10-27
申请号：US14208315
申请日：2014-03-13
申请人： Jerome Declerck , Kinda Anna Saddi
发明人： Jerome Declerck , Kinda Anna Saddi
IPC分类号： G06K9/00 , G06T7/00 , G06T7/20 , A61B6/03 , A61B6/00
CPC分类号： G06T7/0012 , A61B6/037 , A61B6/5217 , G06T7/0016 , G06T7/254 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/30016
摘要： In a method for localizing a candidate foci in neuroimaging, two images are acquired, one being a baseline (interictal) image and another being an intervention (ictal) image. The two images are aligned and the intensities of the images are normalized. A difference image is calculated by subtracting the baseline (interictal) image from the intervention (ictal) image. The difference image is normalized and regions of interest are selected as candidate foci.
摘要翻译：在用于定位神经成像中的候选病灶的方法中，获取两个图像，一个是基线（中间）图像，另一个是干预（ictal）图像。两个图像对齐，图像的强度被归一化。通过从干预（ictal）图像中减去基线（中间）图像来计算差异图像。差分图像被归一化，并且将感兴趣的区域选择为候选焦点。

7. 发明授权

US08831323B2 Method and apparatus for measuring activity of a tracer 有权
标题翻译：用于测量示踪剂活性的方法和装置
公开(公告)号：US08831323B2
公开(公告)日：2014-09-09
申请号：US13486200
申请日：2012-06-01
申请人： Matthew David Kelly , Kinda Anna Saddi
发明人： Matthew David Kelly , Kinda Anna Saddi
IPC分类号： G06K9/00 , G06T7/20
CPC分类号： G06T7/20 , G06T2207/10104 , G06T2207/10108 , G06T2207/30096
摘要： In a method and apparatus for measuring activity of a tracer in a subject in a medical imaging protocol, comparable features in each of a time series of image data sets of the subject are detected. A first activity value for a first region of interest containing a first of the features in a first image data set is obtained, and a size of the first feature is measured. The first activity value is then modified using the measured size of the first feature. A second activity value for a second region of interest containing a second of the features in a second image data set is obtained. The modified first activity value and the second activity value are then combined to produce a measure of activity of the tracer over the time series.
摘要翻译：在用于测量医学成像协议中的受试者中的示踪剂的活性的方法和装置中，检测对象的时间序列图像数据集中的每一个中的相似特征。获得包含第一图像数据集中的第一特征的第一感兴趣区域的第一活动值，并且测量第一特征的大小。然后使用第一个要素的测量尺寸修改第一个活动值。获得包含第二图像数据集中的第二特征的第二关注区域的第二活动值。然后将修改的第一活性值和第二活性值组合以产生跟踪剂在时间序列上的活性的量度。

8. 发明授权

US08098911B2 Method and system for registration of contrast-enhanced images with volume-preserving constraint 有权
标题翻译：使用体积保留约束的对比度增强图像配准的方法和系统
公开(公告)号：US08098911B2
公开(公告)日：2012-01-17
申请号：US11945337
申请日：2007-11-27
申请人： Christophe Chefd'hotel , Kinda Anna Saddi
发明人： Christophe Chefd'hotel , Kinda Anna Saddi
IPC分类号： G06K9/32
CPC分类号： G06K9/32 , G06K9/6206 , G06T7/30
摘要： A method and system for registering a first image of, for example, a liver and a second image of the liver being contrast-enhanced comprises: deriving a statistical similarity measure between images; deriving a smooth divergence-free vector field derived from a gradient of the statistical similarity measure; and integrating the vector field for providing a fluid-based algorithm including a volume-preserving constraint for a transformation for registering the images.
摘要翻译：用于登记例如肝脏的第一图像和对比度增强的肝脏的第二图像的方法和系统包括：导出图像之间的统计学相似性度量; 导出从统计相似性度量的梯度导出的平滑无差矢量场; 并且整合矢量场以提供基于流体的算法，其包括用于注册图像的变换的体积保留约束。

9. 发明申请

US20090052756A1 SYSTEM AND METHOD FOR GLOBAL-TO-LOCAL SHAPE MATCHING FOR AUTOMATIC LIVER SEGMENTATION IN MEDICAL IMAGING 有权
公开(公告)号：US20090052756A1
公开(公告)日：2009-02-26
申请号：US12189276
申请日：2008-08-11
申请人： Kinda Anna Saddi , Mikael Rousson
发明人： Kinda Anna Saddi , Mikael Rousson
IPC分类号： G06K9/34
CPC分类号： G06K9/6209 , G06K2209/051 , G06T7/11 , G06T2207/20161 , G06T2207/30056
摘要： A method for automatically segmenting a liver in digital medical images includes providing a 3-dimensional (3D) digital image I and a set of N training shapes {φi}i=1, . . . , N for a liver trained from a set of manually segmented images, selecting a seed point to initialize the segmentation, representing a level set function φα(θx+h) of a liver boundary Γ in the image as φ α  ( x ) = φ 0 + ∑ i = 1 n  α i  V i  ( x ) ,  where  φ 0  ( x ) = 1 N  ∑ i = 1 N  φ i  ( x ) is a mean shape, {Vi(x)}i=1, . . . , n are eigenmodes where n

10. 发明申请

US20140270438A1 METHOD FOR LOCALIZATION OF AN EPILEPTIC FOCUS IN NEUROIMAGING 有权
标题翻译：用于局部化神经元的神经元聚焦方法
公开(公告)号：US20140270438A1
公开(公告)日：2014-09-18
申请号：US14208315
申请日：2014-03-13
申请人： Jerome Declerck , Kinda Anna Saddi
发明人： Jerome Declerck , Kinda Anna Saddi
IPC分类号： G06T7/00
CPC分类号： G06T7/0012 , A61B6/037 , A61B6/5217 , G06T7/0016 , G06T7/254 , G06T2207/10088 , G06T2207/10104 , G06T2207/10108 , G06T2207/30016
摘要： In a method for localizing a candidate foci in neuroimaging, two images are acquired, one being a baseline (interictal) image and another being an intervention (ictal) image. The two images are aligned and the intensities of the images are normalized. A difference image is calculated by subtracting the baseline (interictal) image from the intervention (ictal) image. The difference image is normalized and regions of interest are selected as candidate foci.
摘要翻译：在用于定位神经成像中的候选病灶的方法中，获取两个图像，一个是基线（中间）图像，另一个是干预（ictal）图像。两个图像对齐，图像的强度被归一化。通过从干预（ictal）图像中减去基线（中间）图像来计算差异图像。差分图像被归一化，并且将感兴趣的区域选择为候选焦点。

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