公开(公告)号：US10055836B1

公开(公告)日：2018-08-21

申请号：US14497478

申请日：2014-09-26

申请人： iCAD, Inc.

发明人： Naira Muradyan

IPC分类号： G06T7/00 ,  G06K9/46 ,  A61B5/055

CPC分类号： G06T7/0012 ,  A61B5/055 ,  G06K9/00503 ,  G06K9/46 ,  G06T7/0016 ,  G06T2200/04 ,  G06T2207/10096 ,  G06T2207/30104

摘要： A system and method for automated contrast arrival detection in temporally phased images or datasets of tissues effectively determines contrast arrival in regions that are substantially free of arteries. A plurality of tissue voxels in a plurality of temporally phased images are identified as a function of voxel enhancement characteristics associated with discrete tissue voxels. A processor/process computes average enhancement characteristics from the plurality of identified tissue voxels. The average enhancement characteristics are compared with predetermined average enhancement characteristics associated with contrast media arrival phases. Contrast media arrival phases in the temporally phased images are provided based on the comparison.

公开(公告)号：US20150262354A1

公开(公告)日：2015-09-17

申请号：US14660880

申请日：2015-03-17

申请人： iCAD, Inc.

发明人： Senthil Periaswamy ,  Sergey Fotin

IPC分类号： G06T7/00 ,  G06T5/50

摘要： A system and a method are disclosed that forms a novel, synthetic, two-dimensional image of an anatomical region such as a breast. Two-dimensional regions of interest (ROIs) such as masses are extracted from three-dimensional medical image data, such as digital tomosynthesis reconstructed volumes. Using image processing technologies, the ROIs are then blended with two-dimensional image information of the anatomical region to form the synthetic, two-dimensional image. This arrangement and resulting image desirably improves the workflow of a physician reading medical image data, as the synthetic, two-dimensional image provides detail previously only seen by interrogating the three-dimensional medical image data.

摘要翻译： 公开了一种形成诸如乳房的解剖区域的新颖的，合成的二维图像的系统和方法。 从三维医学图像数据（例如数字断层合成重建体积）中提取诸如质量的二维感兴趣区域（ROI）。 使用图像处理技术，然后将ROI与解剖区域的二维图像信息混合以形成合成的二维图像。 由于合成的二维图像提供了先前仅通过询问三维医学图像数据所看到的细节，所以这种布置和产生的图像期望地改善了医师读取医学图像数据的工作流程。

公开(公告)号：US08983156B2

公开(公告)日：2015-03-17

申请号：US13684475

申请日：2012-11-23

申请人： iCAD, Inc.

发明人： Senthil Periaswamy ,  Sergey Fotin

IPC分类号： G06K9/00 ,  G06T7/00 ,  A61B6/02 ,  A61B6/00

CPC分类号： G06T7/0012 ,  A61B6/025 ,  A61B6/466 ,  A61B6/469 ,  A61B6/502 ,  A61B6/5223 ,  F04C2270/041 ,  G06T5/50 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10112 ,  G06T2207/20221 ,  G06T2207/30096

摘要： A system and a method are disclosed that forms a novel, synthetic, two-dimensional image of an anatomical region such as a breast. Two-dimensional regions of interest (ROIs) such as masses are extracted from three-dimensional medical image data, such as digital tomosynthesis reconstructed volumes. Using image processing technologies, the ROIs are then blended with two-dimensional image information of the anatomical region to form the synthetic, two-dimensional image. This arrangement and resulting image desirably improves the workflow of a physician reading medical image data, as the synthetic, two-dimensional image provides detail previously only seen by interrogating the three-dimensional medical image data.

摘要翻译： 公开了一种形成诸如乳房的解剖区域的新颖的，合成的二维图像的系统和方法。 从三维医学图像数据（例如数字断层合成重建体积）中提取诸如质量的二维感兴趣区域（ROI）。 使用图像处理技术，然后将ROI与解剖区域的二维图像信息混合以形成合成的二维图像。 由于合成的二维图像提供了先前仅通过询问三维医学图像数据所看到的细节，所以这种布置和产生的图像期望地改善了医师读取医学图像数据的工作流程。

公开(公告)号：US11205265B2

公开(公告)日：2021-12-21

申请号：US16693105

申请日：2019-11-22

申请人： iCAD, Inc.

发明人： Per Frans Leonard Hall ,  Mikael Emil Dan Eriksson ,  Kourosh Jafari-Khouzani ,  Senthil Periaswamy

IPC分类号： G06K9/00 ,  A61B6/04 ,  G06T7/00 ,  G16H50/30 ,  G16H30/20

摘要： This invention provides a system and method for assessing risk of a breast cancer diagnosis based upon imagery of tissue and (optionally) other patient-related factors. A CAD (or similar) system analyzes the imagery and generates a plurality of numerical feature values. An assessment module receives inputs from patient factors and history and computes the risk based upon the feature values and the patient factors and history. A masking module receives inputs from the patient factors and history, and computes the risk of having a cancer, which cancer is otherwise characterized by a low probability of detection, based upon the feature values and the patient factors and history. A recall module receives inputs from the assessment module and the masking assessment module, and generates a computer-aided indication of a clinical follow-up by the patient. Results of assessment(s) can be displayed to the clinician and/or patient using a graphical interface display.

公开(公告)号：US20220398721A1

公开(公告)日：2022-12-15

申请号：US17632559

申请日：2019-11-22

申请人： iCAD, Inc.

发明人： Per Frans Leonard Hall ,  Mikael Emil Dan Eriksson ,  Kourosh Jafari-Khouzani ,  Senthil Periaswamy

IPC分类号： G06T7/00 ,  G16H50/30

摘要： This invention provides a system and method for assessing risk of a breast cancer diagnosis based upon imagery of tissue and (optionally) other patient-related factors. A CAD (or similar) system analyzes the imagery and generates a plurality of numerical feature values. An assessment module receives inputs from patient factors and history and computes the risk based upon the feature values and the patient factors and history. A masking module receives inputs from the patient factors and history, and computes the risk of having a cancer, which cancer is otherwise characterized by a low probability of detection, based upon the feature values and the patient factors and history. A recall module receives inputs from the assessment module and the masking assessment module, and generates a computer-aided indication of a clinical follow-up by the patient. Results of assessment(s) can be displayed to the clinician and/or patient using a graphical interface display.

公开(公告)号：US20140147025A1

公开(公告)日：2014-05-29

申请号：US13684475

申请日：2012-11-23

申请人： iCAD, Inc.

发明人： Senthil Periaswamy ,  Sergey Fotin

IPC分类号： G06T7/00

CPC分类号： G06T7/0012 ,  A61B6/025 ,  A61B6/466 ,  A61B6/469 ,  A61B6/502 ,  A61B6/5223 ,  F04C2270/041 ,  G06T5/50 ,  G06T7/11 ,  G06T7/194 ,  G06T2207/10112 ,  G06T2207/20221 ,  G06T2207/30096

摘要： A system and a method are disclosed that forms a novel, synthetic, two-dimensional image of an anatomical region such as a breast. Two-dimensional regions of interest (ROIs) such as masses are extracted from three-dimensional medical image data, such as digital tomosynthesis reconstructed volumes. Using image processing technologies, the ROIs are then blended with two-dimensional image information of the anatomical region to form the synthetic, two-dimensional image. This arrangement and resulting image desirably improves the workflow of a physician reading medical image data, as the synthetic, two-dimensional image provides detail previously only seen by interrogating the three-dimensional medical image data.

摘要翻译： 公开了一种形成诸如乳房的解剖区域的新颖的，合成的二维图像的系统和方法。 从三维医学图像数据（例如数字断层合成重建体积）中提取诸如质量的二维感兴趣区域（ROI）。 使用图像处理技术，然后将ROI与解剖区域的二维图像信息混合以形成合成的二维图像。 由于合成的二维图像提供了先前仅通过询问三维医学图像数据所看到的细节，所以这种布置和产生的图像期望地改善了医师读取医学图像数据的工作流程。

公开(公告)号：US20030110178A1

公开(公告)日：2003-06-12

申请号：US10292514

申请日：2002-11-13

申请人： icad, inc.

发明人： Kevin S. Woods ,  Maha Yousef Sallam ,  Greg Gustafson

IPC分类号： G06F007/00

CPC分类号： G06F19/321

摘要： A method and system for tracking medical images and associated digital images for diagnostic evaluation. The system includes a scanner for digitizing one or more medical images defining a case to thereby produce one or more digitized medical images and for reading a machine-readable tracking identifier attached to each medical image of the case. A server associates the tracking identifier with one or more digitized medical images and one or more computer-aided diagnostic (CAD) images, wherein the one or more CAD images correspond to the one or more digitized medical images that are processed using a CAD algorithm. The system stores the associated tracking identifier, the one or more digitized medical images, and the one or more CAD images in a storage device. The server receives and processes a medical image request including the tracking identifier to retrieve at least one of the one or more digitized medical images or the one or more CAD images from the storage device using the tracking identifier.

摘要翻译： 一种用于跟踪医学图像和相关数字图像进行诊断评估的方法和系统。 该系统包括用于数字化定义病例的一个或多个医学图像的扫描器，从而产生一个或多个数字化的医学图像，并且用于读取附接到病例的每个医学图像的机器可读跟踪标识符。 服务器将跟踪标识符与一个或多个数字化医学图像和一个或多个计算机辅助诊断（CAD）图像相关联，其中一个或多个CAD图像对应于使用CAD算法处理的一个或多个数字化医学图像。 系统将相关联的跟踪标识符，一个或多个数字化医学图像以及一个或多个CAD图像存储在存储设备中。 服务器接收并处理包括跟踪标识符的医学图像请求，以使用跟踪标识符从存储设备检索一个或多个数字化医学图像或一个或多个CAD图像中的至少一个。

公开(公告)号：US20200167920A1

公开(公告)日：2020-05-28

申请号：US16693105

申请日：2019-11-22

申请人： iCAD, Inc.

发明人： Per Frans Leonard Hall ,  Mikael Emil Dan Eriksson ,  Kourosh Jafari-Khouzani ,  Senthil Periaswamy

IPC分类号： G06T7/00 ,  G16H30/20 ,  G16H50/30

摘要： This invention provides a system and method for assessing risk of a breast cancer diagnosis based upon imagery of tissue and (optionally) other patient-related factors. A CAD (or similar) system analyzes the imagery and generates a plurality of numerical feature values. An assessment module receives inputs from patient factors and history and computes the risk based upon the feature values and the patient factors and history. A masking module receives inputs from the patient factors and history, and computes the risk of having a cancer, which cancer is otherwise characterized by a low probability of detection, based upon the feature values and the patient factors and history. A recall module receives inputs from the assessment module and the masking assessment module, and generates a computer-aided indication of a clinical follow-up by the patient. Results of assessment(s) can be displayed to the clinician and/or patient using a graphical interface display.

公开(公告)号：US10445855B2

公开(公告)日：2019-10-15

申请号：US15302846

申请日：2015-04-01

申请人： ICAD, Inc. ,  Konica Minolta, Inc.

发明人： David S. Harding ,  Sridharan Kamalakanan ,  Satoshi Kasai ,  Shinsuke Katsuhara ,  James H. Pike ,  Muhammad F. Sabir ,  Jeffrey C. Wehnes

IPC分类号： G06K9/00 ,  G06T3/00 ,  A61B6/00 ,  G06T7/00 ,  G06T7/73 ,  G06T7/12 ,  G06K9/32 ,  G06K9/34 ,  G06K9/46 ,  G06T5/00

摘要： Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyzes of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.

公开(公告)号：US20170032535A1

公开(公告)日：2017-02-02

申请号：US15302846

申请日：2015-04-01

申请人： iCAD, Inc. ,  Konica Minolta, Inc.

发明人： David S. Harding ,  Sridharan Kamalakanan ,  Satoshi Kasai ,  Shinsuke Katsuhara ,  James H. Pike ,  Muhammad F. Sabir ,  Jeffrey C. Wehnes

IPC分类号： G06T7/00 ,  G06K9/46 ,  G06K9/34 ,  G06T3/00 ,  G06K9/32

CPC分类号： G06T3/0093 ,  A61B6/5211 ,  G06K9/3233 ,  G06K9/342 ,  G06K9/4647 ,  G06K2209/051 ,  G06T5/002 ,  G06T7/0012 ,  G06T7/12 ,  G06T7/75 ,  G06T2207/10116 ,  G06T2207/20036 ,  G06T2207/20076 ,  G06T2207/20116 ,  G06T2207/30008 ,  G06T2207/30061 ,  G06T2207/30064

摘要： Lung segmentation and bone suppression techniques are helpful pre-processing steps prior to radiographic analyses of the human thorax, as may occur during cancer screenings and other medical examinations. Autonomous lung segmentation may remove spurious boundary pixels from a radiographic image, as well as identify and refine lung boundaries. Thereafter, autonomous bone suppression may identify clavicle, posterior rib, and anterior rib bones using various image processing techniques, including warping and edge detection. The identified clavicle, posterior rib, and anterior rib bones may then be suppressed from the radiographic image to yield a segmented, bone suppressed radiographic image.

摘要翻译： 肺分割和骨抑制技术是在癌症筛查和其他体检之间可能发生的人类胸部放射照相分析之前的有用的预处理步骤。 自主肺分割可以从放射照相图像中去除伪边界像素，以及识别和改善肺边界。 此后，自主骨抑制可以使用各种图像处理技术来识别锁骨，后肋骨和前肋骨骨骼，包括翘曲和边缘检测。 然后可以从放射照相图像中抑制识别的锁骨，后肋骨和前肋骨，以产生分割的骨抑制的放射照相图像。