Systems and methods for classification of arterial image regions and features thereof

    公开(公告)号:US12190521B2

    公开(公告)日:2025-01-07

    申请号:US18204493

    申请日:2023-06-01

    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

    Automatic Alignment of Two Pullbacks
    23.
    发明公开

    公开(公告)号:US20240346670A1

    公开(公告)日:2024-10-17

    申请号:US18292188

    申请日:2022-07-06

    CPC classification number: G06T7/33 G06T7/0012 G06T2207/30101

    Abstract: The present disclosure provides systems and methods for automatically aligning intravascular data taken during a plurality of pullbacks in a target blood vessel. Extraluminal images may be taken to determine the location of the guide catheter in the target vessel. Two or more pullbacks may then be performed in the target vessel. The start and end point of each pullback may be determined. A distance between the end point of each pullback and the proximal tip, or junction point, of the guide catheter may be determined. A difference between the end point of each pullback and the junction point may be determined. The difference between the distances from the end of the pullback and the junction point may correspond to the distance to offset one of the representations of the pullbacks in order to automatically align the representation of the pullbacks.

    Flow Measurement Through OCT
    24.
    发明公开

    公开(公告)号:US20240099585A1

    公开(公告)日:2024-03-28

    申请号:US18267670

    申请日:2021-12-17

    CPC classification number: A61B5/0066 A61B5/0261 A61B5/1076

    Abstract: The present disclosure provides systems and methods for determining a mean transit time of a bolus within the blood vessel by passing the bolus through the blood vessel while an intravascular imaging probe is held stationary. The probe may collect a plurality of image frames as the bolus passes the probe. The cross-sectional area of the bolus within the images frames may be determined by segmenting each image frame by thresholding, creating a vessel mask, and creating a contrast mask by applying an element-wise AND operator to the thresholded image and the vessel mask. The cross-sectional area of the bolus for the image frames may be plotted on an area dilution curve. Various fits may be applied to and various points may be identified on the area dilution curve. The various fits and points may be used to determine the mean transit time.

    Fibrotic Cap Detection In Medical Images

    公开(公告)号:US20230005139A1

    公开(公告)日:2023-01-05

    申请号:US17854994

    申请日:2022-06-30

    Abstract: Aspects of the disclosure provide for methods, systems, and apparatuses, including computer-readable storage media, for lipid detection by identifying fibrotic caps in medical images of blood vessels. A method includes receiving one or more input images of a blood vessel and processing the one or more input images using a machine learning model trained to identify locations of fibrotic caps in blood vessels. The machine learning model is trained using a plurality of training images each annotated with locations of one or more fibrotic caps. A method includes identifying and characterizing fibrotic caps of lipid pools based on differences in radial signal intensities measured at different locations of an input image. A system can generate one or more output images having segments that are visually annotated representing predicted locations of fibrotic caps covering lipidic plaques.

    Systems and methods to detect and display endovascular features

    公开(公告)号:US11461902B2

    公开(公告)日:2022-10-04

    申请号:US17084805

    申请日:2020-10-30

    Abstract: In part, the disclosure relates to method for identifying regions of interest in a blood vessel. The method includes the steps of: providing OCT image data of the blood vessel; applying a plurality of different edge detection filters to the OCT image data to generate a filter response for each edge detection filter; identifying in each edge detection filter response any response maxima; combining the response maxima for each edge detection filter response while maintaining the spatial relationship of the response maxima, to thereby create edge filtered OCT data; and analyzing the edge filtered OCT data to identify a region of interest, the region of interest defined as a local cluster of response maxima. In one embodiment, one or more indicia are positioned in one or more panels to emphasize a reference vessel profile as part of a user interface.

    Systems And Methods For Classification Of Arterial Image Regions And Features Thereof

    公开(公告)号:US20220114388A1

    公开(公告)日:2022-04-14

    申请号:US17561018

    申请日:2021-12-23

    Abstract: In part, the disclosure relates to methods, and systems suitable for evaluating image data from a patient on a real time or substantially real time basis using machine learning (ML) methods and systems. Systems and methods for improving diagnostic tools for end users such as cardiologists and imaging specialists using machine learning techniques applied to specific problems associated with intravascular images that have polar representations. Further, given the use of rotating probes to obtain image data for OCT, IVUS, and other imaging data, dealing with the two coordinate systems associated therewith creates challenges. The present disclosure addresses these and numerous other challenges relating to solving the problem of quickly imaging and diagnosis a patient such that stenting and other procedures may be applied during a single session in the cath lab.

    Method, Apparatus, and System to Identify Branches of a Blood Vessel

    公开(公告)号:US20170301084A1

    公开(公告)日:2017-10-19

    申请号:US15488005

    申请日:2017-04-14

    Inventor: Ajay Gopinath

    Abstract: In part, the disclosure relates to an automated method of branch detection with regard to a blood vessel imaged using an intravascular modality such as OCT, IVUS, or other imaging modalities. In one embodiment, a representation of A-lines and frames generated using an intravascular imaging system is used to identify candidate branches of a blood vessel. One or more operators such as filters can be applied to remove false positives associated with other detections.

    SYSTEMS AND METHODS TO DETECT AND DISPLAY ENDOVASCULAR FEATURES
    30.
    发明申请
    SYSTEMS AND METHODS TO DETECT AND DISPLAY ENDOVASCULAR FEATURES 有权
    检测和显示内分泌特征的系统和方法

    公开(公告)号:US20160171711A1

    公开(公告)日:2016-06-16

    申请号:US14968729

    申请日:2015-12-14

    Abstract: In part, the disclosure relates to method for identifying regions of interest in a blood vessel. The method includes the steps of: providing OCT image data of the blood vessel; applying a plurality of different edge detection filters to the OCT image data to generate a filter response for each edge detection filter; identifying in each edge detection filter response any response maxima; combining the response maxima for each edge detection filter response while maintaining the spatial relationship of the response maxima, to thereby create edge filtered OCT data; and analyzing the edge filtered OCT data to identify a region of interest, the region of interest defined as a local cluster of response maxima. In one embodiment, one or more indicia are positioned in one or more panels to emphasize a reference vessel profile as part of a user interface.

    Abstract translation: 在一部分中,本公开涉及用于识别血管中的感兴趣区域的方法。 该方法包括以下步骤:提供血管的OCT图像数据; 将多个不同的边缘检测滤波器应用于OCT图像数据以为每个边缘检测滤波器生成滤波器响应; 识别每个边缘检测滤波器响应任何响应最大值; 组合每个边缘检测滤波器响应的响应最大值,同时保持响应最大值的空间关系,从而创建边缘滤波OCT数据; 并分析边缘滤波的OCT数据以识别感兴趣的区域,所述感兴趣区域被定义为响应最大值的局部簇。 在一个实施例中,将一个或多个标记定位在一个或多个面板中以强调作为用户界面的一部分的参考血管简档。

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