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1. 发明申请

US20070127803A1 Adaptive density correction in computed tomographic images 有权
标题翻译：计算机断层图像中的自适应密度校正
公开(公告)号：US20070127803A1
公开(公告)日：2007-06-07
申请号：US11606433
申请日：2006-11-30
申请人： Hiroyuki Yoshida , Janne Nappi , Michael Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Nappi , Michael Zalis , Wenli Cai
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： An adaptive density correction (ADC) method and system automatically compensate for pseudo-enhancement (PEH) of voxels in computed tomography (CT) data, such as in fecal-tagged CT colonography (ftCTC), so air (or another low-contrast background) and soft tissues are represented by their usual CT attenuations. ADC estimates an amount of pseudo-enhancement energy that was received by voxels that are near tagged voxels (i.e., voxels that are tagged with a high-contrast agent), based on a first distribution scheme, such as a Gaussian distribution. ADC then iteratively distributes PEH energy received by voxels to neighboring voxels, according to another distribution scheme, which may be another Gaussian function. ADC then subtracts the total amount of PEH energy at each voxel from the CT data of the voxel.
摘要翻译：自适应密度校正（ADC）方法和系统自动补偿计算机断层扫描（CT）数据中的体素的伪增强（PEH），例如在粪便标记的CT结肠成像（ftCTC）中，因此空气（或另一低对比度背景）和软组织由其通常的CT衰减表示。 ADC基于诸如高斯分布的第一分布方案来估计接近于标记体素（即，用高对比度标记的体素）的体素所接收的伪增强能量的量。然后，ADC根据另一个分布方案，将体素接收的PEH能量迭代地分配给相邻体素，其可以是另一个高斯函数。 ADC然后从体素的CT数据中减去每个体素处的PEH能量的总量。

2. 发明申请

US20070165928A1 Lumen tracking in computed tomographic images 有权
标题翻译：计算机断层图像中的流明跟踪
公开(公告)号：US20070165928A1
公开(公告)日：2007-07-19
申请号：US11607623
申请日：2006-11-30
申请人： Hiroyuki Yoshida , Janne Nappi , Michael Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Nappi , Michael Zalis , Wenli Cai
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.
摘要翻译：流明跟踪方法和系统基于已知解剖特征或其他可预测特征，通过在图像数据中定位地标来自动从CT图像数据提取冒号。如果结肠被分割，方法和系统可以使用地标来评估候选片段以便包含在提取的结肠中。

3. 发明申请

US20070127804A1 Adaptive density mapping in computed tomographic images 有权
标题翻译：计算机断层图像中的自适应密度映射
公开(公告)号：US20070127804A1
公开(公告)日：2007-06-07
申请号：US11607195
申请日：2006-11-30
申请人： Hiroyuki Yoshida , Janne Nappi , Michael Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Nappi , Michael Zalis , Wenli Cai
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： An adaptive density mapping (ADM) method and system automatically identify interface regions between air and material tagged with contrast agents in computed tomographic (CT) image data, then map CT attenuations of voxels outside the identified interface regions, such that voxels that represent tagged material are made to represent air or another gas.
摘要翻译：自适应密度映射（ADM）方法和系统自动识别在计算机断层摄影（CT）图像数据中用造影剂标记的空气和材料之间的界面区域，然后映射在所识别的界面区域之外的体素的CT衰减，使得表示标记材料的体素被用来表示空气或另一种气体。

4. 发明授权

US07965880B2 Lumen tracking in computed tomographic images 有权
标题翻译：计算机断层图像中的流明跟踪
公开(公告)号：US07965880B2
公开(公告)日：2011-06-21
申请号：US12832306
申请日：2010-07-08
申请人： Hiroyuki Yoshida , Janne Nappi , Michael E. Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Nappi , Michael E. Zalis , Wenli Cai
IPC分类号： G06K9/00 , A61B6/00
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.
摘要翻译：流明跟踪方法和系统基于已知解剖特征或其他可预测特征，通过在图像数据中定位地标来自动从CT图像数据提取冒号。如果结肠被分割，方法和系统可以使用地标来评估候选片段以便包含在提取的结肠中。

5. 发明授权

US09299156B2 Structure-analysis system, method, software arrangement and computer-accessible medium for digital cleansing of computed tomography colonography images 有权
公开(公告)号：US09299156B2
公开(公告)日：2016-03-29
申请号：US12089662
申请日：2006-10-17
申请人： Michael Zalis , Wenli Cai
发明人： Michael Zalis , Wenli Cai
IPC分类号： G06T7/00 , G06F19/00 , G06T5/00
CPC分类号： G06T7/0083 , G06F19/00 , G06F19/321 , G06T5/005 , G06T7/12 , G06T7/149 , G06T7/155 , G06T2207/10081 , G06T2207/20161 , G06T2207/30032 , G16H50/50
摘要： A system, method, software arrangement and computer-accessible medium for performing electronic cleansing of CT colonography images are provided. In this system, method, software arrangement and computer-accessible medium, the digital bowel cleansing can be performed to remove tagged bowel contents from the images. The digital bowel cleansing can apply a local shape analysis throughout the images and use a shape-based speed function to detect the folds and polyps structures while removing the tagged bowel contents region. The system, method, software arrangement and computer-accessible medium can enable a medical examiner to perform an accurate virtual colonoscopy on a patient, without the need for thorough patient preparation.

6. 发明申请

US20090304248A1 Structure-analysis system, method, software arrangement and computer-accessible medium for digital cleansing of computed tomography colonography images 有权
标题翻译：结构分析系统，方法，软件安排和计算机可访问介质，用于数字清洗计算机断层造影图像
公开(公告)号：US20090304248A1
公开(公告)日：2009-12-10
申请号：US12089662
申请日：2006-10-17
申请人： Michael Zalis , Wenli Cai
发明人： Michael Zalis , Wenli Cai
IPC分类号： G06K9/00
CPC分类号： G06T7/0083 , G06F19/00 , G06F19/321 , G06T5/005 , G06T7/12 , G06T7/149 , G06T7/155 , G06T2207/10081 , G06T2207/20161 , G06T2207/30032 , G16H50/50
摘要： A system, method, software arrangement and computer-accessible medium for performing electronic cleansing of CT colonography images are provided. In this system, method, software arrangement and computer-accessible medium, the digital bowel cleansing can be performed to remove tagged bowel contents from the images. The digital bowel cleansing can apply a local shape analysis throughout the images and use a shape-based speed function to detect the folds and polyps structures while removing the tagged bowel contents region. The system, method, software arrangement and computer-accessible medium can enable a medical examiner to perform an accurate virtual colonoscopy on a patient, without the need for thorough patient preparation.
摘要翻译：提供了用于执行CT结肠图像的电子清洁的系统，方法，软件安排和计算机可访问介质。在该系统中，方法，软件安排和计算机可访问介质可以进行数字清洁以从图像中去除标记的肠内容物。数字肠清洁可以在整个图像中应用局部形状分析，并使用基于形状的速度函数来检测折叠和息肉结构，同时移除标记的肠内容物区域。系统，方法，软件安排和计算机可访问介质可使医学检查员能够对病人执行准确的虚拟结肠镜检查，而不需要彻底的患者准备。

7. 发明授权

US07961967B2 Adaptive density mapping in computed tomographic images 有权
标题翻译：计算机断层图像中的自适应密度映射
公开(公告)号：US07961967B2
公开(公告)日：2011-06-14
申请号：US11607195
申请日：2006-11-30
申请人： Hiroyuki Yoshida , Janne Näppi , Michael E. Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Näppi , Michael E. Zalis , Wenli Cai
IPC分类号： G06K9/40
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： An adaptive density mapping (ADM) method and system automatically identify interface regions between air and material tagged with contrast agents in computed tomographic (CT) image data, then map CT attenuations of voxels outside the identified interface regions, such that voxels that represent tagged material are made to represent air or another gas.
摘要翻译：自适应密度映射（ADM）方法和系统自动识别在计算机断层摄影（CT）图像数据中用造影剂标记的空气和材料之间的界面区域，然后映射在所识别的界面区域之外的体素的CT衰减，使得表示标记材料的体素被用来表示空气或另一种气体。

8. 发明申请

US20100278403A1 Lumen Tracking in Computed Tomographic Images 有权
标题翻译：计算机图像中的流明跟踪
公开(公告)号：US20100278403A1
公开(公告)日：2010-11-04
申请号：US12832306
申请日：2010-07-08
申请人： Hiroyuki Yoshida , Janne Näppi , Michael E. Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Näppi , Michael E. Zalis , Wenli Cai
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： A lumen tracking method and system automatically extracts a colon from CT image data by locating landmarks in the image data, based on known anatomic features or other predictable features. If the colon is segmented, the method and system may use the landmarks to evaluate candidate segments for inclusion in the extracted colon.
摘要翻译：流明跟踪方法和系统基于已知解剖特征或其他可预测特征，通过在图像数据中定位地标来自动从CT图像数据提取冒号。如果结肠被分割，方法和系统可以使用地标来评估候选片段以便包含在提取的结肠中。

9. 发明申请

US20080118136A1 Propagating Shell for Segmenting Objects with Fuzzy Boundaries, Automatic Volume Determination and Tumor Detection Using Computer Tomography 审中-公开
标题翻译：传播壳体用模糊边界分割对象，自动体积确定和肿瘤检测使用计算机断层扫描
公开(公告)号：US20080118136A1
公开(公告)日：2008-05-22
申请号：US11943577
申请日：2007-11-20
申请人： Wenli Cai , Gordon J. Harris , Hiroyuki Yoshida
发明人： Wenli Cai , Gordon J. Harris , Hiroyuki Yoshida
IPC分类号： G06K9/00
CPC分类号： G06K9/38 , G06K9/6207 , G06K9/6278 , G06K2209/05
摘要： A dynamic thresholding level set method combines two optimization processes, i.e., a level set segmentation and an optimal threshold calculation in a local histogram, into one process that involves a structure called a “propagating shell.” The propagating shell is a mobile 3-dimensional shell structure with a thickness that encompasses the boundary of an object, the boundary between two objects or the boundary between an object and a background. Because the local optimal threshold tends to shift to a value of a small region in a histogram, the shift can drive the propagating shell to an object boundary by pushing or pulling the propagating shell. The segmentation process is an optimizing process to find a balanced histogram with minimal threshold shift. When the histogram in the propagating shell is balanced, the optimal threshold becomes stable, and the propagating shell reaches a convergence location, i.e., an object boundary. This method can be applied to computer-aided organ and tumor volumetrics.
摘要翻译：动态阈值级别集合方法将两个优化过程（即局部直方图中的级别集分割和最佳阈值计算）组合成涉及称为“传播壳”的结构的一个过程。传播壳是一种可移动的三维壳结构，其厚度包含对象的边界，两个对象之间的边界或物体与背景之间的边界。由于局部最优阈值倾向于移动到直方图中的小区域的值，所以移位可以通过推或拉传播壳体来将传播的壳体驱动到对象边界。分割过程是找到具有最小阈值偏移的平衡直方图的优化过程。当传播壳体中的直方图平衡时，最佳阈值变得稳定，并且传播的壳体到达会聚位置，即对象边界。该方法可应用于计算机辅助器官和肿瘤体积。

10. 发明授权

US08000550B2 Adaptive density correction in computed tomographic images 有权
标题翻译：计算机断层图像中的自适应密度校正
公开(公告)号：US08000550B2
公开(公告)日：2011-08-16
申请号：US11606433
申请日：2006-11-30
申请人： Hiroyuki Yoshida , Janne Näppi , Michael E. Zalis , Wenli Cai
发明人： Hiroyuki Yoshida , Janne Näppi , Michael E. Zalis , Wenli Cai
IPC分类号： G06K9/40
CPC分类号： G06K9/00 , A61B6/583 , G06K2209/05 , G06T5/008 , G06T7/136 , G06T2207/10081 , G06T2207/20012 , G06T2207/30028 , G06T2207/30032
摘要： An adaptive density correction (ADC) method and system automatically compensate for pseudo-enhancement (PEH) of voxels in computed tomography (CT) data, such as in fecal-tagged CT colonography (ftCTC), so air (or another low-contrast background) and soft tissues are represented by their usual CT attenuations. ADC estimates an amount of pseudo-enhancement energy that was received by voxels that are near tagged voxels (i.e., voxels that are tagged with a high-contrast agent), based on a first distribution scheme, such as a Gaussian distribution. ADC then iteratively distributes PEH energy received by voxels to neighboring voxels, according to another distribution scheme, which may be another Gaussian function. ADC then subtracts the total amount of PEH energy at each voxel from the CT data of the voxel.
摘要翻译：自适应密度校正（ADC）方法和系统自动补偿计算机断层扫描（CT）数据中的体素的伪增强（PEH），例如在粪便标记的CT结肠成像（ftCTC）中，因此空气（或另一低对比度背景）和软组织由其通常的CT衰减表示。 ADC基于诸如高斯分布的第一分布方案来估计接近于标记体素（即，用高对比度标记的体素）的体素所接收的伪增强能量的量。然后，ADC根据另一个分布方案，将体素接收的PEH能量迭代地分配给相邻体素，其可以是另一个高斯函数。 ADC然后从体素的CT数据中减去每个体素处的PEH能量的总量。

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