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：US08634622B2

公开(公告)日：2014-01-21

申请号：US12579898

申请日：2009-10-15

申请人： Kevin Woods ,  Michael J. Collins ,  Senthil Periaswamy ,  Robert L. Van Uitert

发明人： Kevin Woods ,  Michael J. Collins ,  Senthil Periaswamy ,  Robert L. Van Uitert

IPC分类号： A61B6/03

CPC分类号： A61B6/5217 ,  A61B6/03 ,  A61B6/502 ,  G06K9/3233 ,  G06K2209/053 ,  G06T7/0012 ,  G06T2207/10072 ,  G06T2207/10124 ,  G06T2207/20104 ,  G06T2207/20108 ,  G06T2207/30068

摘要： Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest.

摘要翻译： 公开了包括处理器，输入设备和输出设备的方法和相关系统，其检测断层图像乳房图像中的感兴趣区域。 所述方法可以包括：获取断层摄影乳房图像数据; 从断层图像乳房图像数据中导出多个合成子体积; 其中每个子体积由平行的平面顶部和底部表面限定; 其中连续子体积的平面顶表面和底表面彼此平行; 并且其中子体积的顶部平坦表面偏离先前子体积的顶部平坦表面，使得连续的子体积重叠; 对于每个子体积，导出二维图像; 对于每个二维图像，识别其中感兴趣的区域; 从多个确定的感兴趣区域中产生潜在临床兴趣的至少一个感兴趣区域; 并输出与潜在临床感兴趣的至少一个感兴趣的衍生区域相关联的信息。

公开(公告)号：US08131036B2

公开(公告)日：2012-03-06

申请号：US12179787

申请日：2008-07-25

申请人： Michael J. Collins ,  Senthil Periaswamy ,  Robert V. Uitert ,  Justin Kunz

发明人： Michael J. Collins ,  Senthil Periaswamy ,  Robert V. Uitert ,  Justin Kunz

IPC分类号： G06K9/00

CPC分类号： G06K9/00 ,  G06K2209/053

摘要： Methods and systems are presented that improve a radiologist's ability to identify polyps by automatically and more accurately detecting and displaying colonic residue such as tagged or untagged stool or colonic fluid in medical images of the colorectal region. A virtual colonography imaging system obtains medical imagery of the colon. Improved computer-aided detection (CAD) algorithms identify colonic residue in the imagery by calculating feature vectors of and using statistical classification methods to classify regions of colonic residue to distinguish them from false positives.

摘要翻译： 提出了通过自动更准确地检测和显示结肠直肠区域的医学图像中的标记或未标记的粪便或结肠液的结肠残留物来改善放射科医师识别息肉的能力的方法和系统。 虚拟结肠成像系统获得结肠的医学图像。 改进的计算机辅助检测（CAD）算法通过计算特征向量并使用统计分类方法对结肠残留区域进行分类，从而将其与假阳性区分开来，从而识别图像中的结肠残留。

公开(公告)号：US07486812B2

公开(公告)日：2009-02-03

申请号：US10993176

申请日：2004-11-19

申请人： Metin N. Gurcan ,  Russell C. Hardie ,  Steven K. Rogers

发明人： Metin N. Gurcan ,  Russell C. Hardie ,  Steven K. Rogers

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T7/149 ,  G06T7/33 ,  G06T7/38 ,  G06T2207/10081 ,  G06T2207/20116 ,  G06T2207/20156 ,  G06T2207/30064

摘要： A method for refining shape estimates of detected abnormalities in medical images, particularly for the detection of pulmonary lesions in CT imagery is described. A cue point is refined prior to an initially segmentation of the lesion. A radial gradient is computed for points on an initial segmented lesion. Portions of the lesion with radial gradients deviating beyond a threshold angle are removed from the lesion. Registering imagery from more than one CT exam uses a high intensity structure, essentially bone, to provide coarse and fine alignment of a set of two-dimensional images is also described. A MIP image is formed from the three-dimensional images. A second MIP image is then formed from imagery. The second MIP image is correlated with the first MIP image to determine a preferred registration location.

摘要翻译： 描述了一种用于细化医学图像中检测到异常的形状估计的方法，特别是用于CT图像中肺损伤检测的方法。 在病变的最初分割之前，提示点被精炼。 计算初始分段病变上的点的径向梯度。 具有偏离超过阈值角度的径向梯度的病变部分从损伤处去除。 从多个CT检查中注册图像，还描述了高强度结构，基本上是骨骼，以提供一组二维图像的粗略和精细对准。 MIP图像由三维图像形成。 然后从图像形成第二个MIP图像。 第二MIP图像与第一MIP图像相关以确定优选的注册位置。

公开(公告)号：US20080027315A1

公开(公告)日：2008-01-31

申请号：US11496351

申请日：2006-07-31

申请人： Ryan McGinnis

发明人： Ryan McGinnis

IPC分类号： A61B5/05

CPC分类号： G06T7/0012 ,  G06T7/11 ,  G06T19/00 ,  G06T2207/10081 ,  G06T2207/20156 ,  G06T2207/30028 ,  G06T2207/30032

摘要： A method and system for the use of a CAD algorithm that can be used to automatically detect retained colonic fluid and the rectal tube in computed tomographic (CT) imagery of a patient's colon is disclosed. The CAD algorithm can then electronically subtract the fluid and rectal tube from the images and the modified CT imagery can then be displayed to a user, such as a radiologist. Both the original and modified CT imagery will be stored for future presentation and review. The user, including the radiologist or other medical personnel, will have the option to toggle between displaying and reviewing the modified and original imagery. After subtraction, the radiologist will be able to view the imagery containing all pertinent information regarding the colonic lumen and any suspect region within the colon. Additionally, full processing of the scan is possible even when fluid retention in the colon is greater than fifty percent in any region.

摘要翻译： 公开了一种用于使用CAD算法的方法和系统，该算法可用于自动检测患者结肠的计算机断层摄影（CT）图像中的保留结肠液和直肠管。 然后，CAD算法可以从图像中电子地减去流体和直肠管，然后可以将修改的CT图像显示给诸如放射科医师的用户。 原始和修改的CT图像将被存储以供将来的介绍和审查。 用户，包括放射科医师或其他医务人员，可以选择显示和查看修改和原始图像。 减法后，放射科医生将能够查看含有关于结肠腔和结肠内任何可疑区域的所有相关信息的图像。 此外，即使在任何地区的结肠中的流体保留量都大于百分之五十，扫描的全部处理也是可能的。

公开(公告)号：US07298877B1

公开(公告)日：2007-11-20

申请号：US10288766

申请日：2002-11-06

申请人： Michael J. Collins ,  Richard A. Mitchell ,  Steven W. Worrell

发明人： Michael J. Collins ,  Richard A. Mitchell ,  Steven W. Worrell

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/34 ,  G01N23/00 ,  A61B6/00

CPC分类号： G01N23/04 ,  G06K9/4604 ,  G06K9/6292 ,  G06K2209/05

摘要： This invention provides an information fusion method for multiple indicators of cancers detected with multiple channels. Each channel consists of specifically tuned detectors, features, classifiers and Bayes networks. The outputs of the Bayes networks are probabilities of malignancy for the detections passing the corresponding classifier.

摘要翻译： 本发明提供了一种用于多个信道检测的癌症多指标的信息融合方法。 每个通道由专门调谐的探测器，特征，分类器和贝叶斯网络组成。 贝叶斯网络的输出是通过相应分类器的检测的恶性的概率。

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：US08175351B2

公开(公告)日：2012-05-08

申请号：US12211593

申请日：2008-09-16

申请人： Michael J. Collins ,  Kevin Woods ,  Brent Woods ,  William Pierson ,  Ryan McGinnis

发明人： Michael J. Collins ,  Kevin Woods ,  Brent Woods ,  William Pierson ,  Ryan McGinnis

IPC分类号： G06K9/00 ,  G06K9/62 ,  A61B6/04

CPC分类号： G06K9/6292 ,  G06K2209/053 ,  G06T7/0012 ,  G06T2207/30068

摘要： Methods are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In certain embodiments, a quantitative measure of spiculation and quantitative measure of density are computed for each suspicious mass located. At least one classification scheme, developed using true and false positives with similar quantitative measures, is then selected for each suspicious mass according to both quantitative measures. In certain other embodiments, a measure of breast location is computed for each suspicious mass. In one embodiment, the location determines whether a suspicious mass appears inside or outside of the parenchyma region of the breast.

摘要翻译： 提出了以高灵敏度和可接受的假阳性率检测和分类显示具有螺旋和/或致密特征的质粒状区域的方法。 在乳房的医学图像中识别出一个或多个可疑群体。 在某些实施方案中，针对位于每个可疑质量计算密度的定量测量和密度的定量测量。 然后，根据这两种定量方法，选择至少一种使用具有相似量化措施的真假假阳性分类方案。 在某些其他实施例中，针对每个可疑质量计算乳房位置的度量。 在一个实施例中，该位置确定可疑质量是否出现在乳房的实质区域的内部或外部。

公开(公告)号：US07308126B2

公开(公告)日：2007-12-11

申请号：US11250734

申请日：2005-10-14

申请人： Steven K. Rogers ,  Maha Sallam ,  W. Scott Parr

发明人： Steven K. Rogers ,  Maha Sallam ,  W. Scott Parr

IPC分类号： G06K9/00

CPC分类号： G06T7/0012 ,  G06F19/321 ,  G06K9/3233 ,  G06K9/38 ,  G06K9/622 ,  G06T7/11 ,  G06T7/136 ,  G06T7/155 ,  G06T2207/10116 ,  G06T2207/20084 ,  G06T2207/30068 ,  G16H50/20 ,  Y10S128/922

摘要： The present invention provides for the use of computer-aided detection (CAD) system output displays for providing accurate representations of areas for subsequent exams. Since the CAD output, unlike the original medical imagery, is not used during the initial reading, the radiologist does not mark it until a final determination is reached regarding subsequent procedures. Additionally, since the CAD output contains versions of the original imagery, the regions indicated by the radiologist are shown in the context of the particular anatomical detail for a given patient. This detail assists the technologist, other physicians and patients in more efficiently and accurately locating the exact area for subsequent exams.

摘要翻译： 本发明提供了使用计算机辅助检测（CAD）系统输出显示器来提供后续检查的区域的准确表示。 由于CAD输出与原始医学影像不同，在初始阅读期间不使用放射科医生，因此放射科医生在对后续程序达成最终确定之前不会进行标记。 另外，由于CAD输出包含原始图像的版本，所以放射科医师指示的区域在给定患者的具体解剖细节的上下文中示出。 这个细节帮助技术人员，其他医生和病人更有效率地准确地确定后续检查的确切区域。