METHOD AND APPARATUS FOR AUTOMATED DETERMINATION OF A LUMEN CONTOUR OF A STENTED BLOOD VESSEL
    31.
    发明申请
    METHOD AND APPARATUS FOR AUTOMATED DETERMINATION OF A LUMEN CONTOUR OF A STENTED BLOOD VESSEL 审中-公开
    用于自动测定静脉血液瓶血液的方法和装置

    公开(公告)号:US20150297373A1

    公开(公告)日:2015-10-22

    申请号:US14115527

    申请日:2013-03-12

    Abstract: In part, the invention relates to a method for sizing a stent for placement in a vessel. In one embodiment, the method includes the steps of: dividing the vessel into a plurality of segments, each segment being defined as the space between branches of the vessel; selecting a starting point that appears to have substantially no disease; defining the diameter at this point to be the maximum diameter; calculating the maximal diameter of the next adjacent segment according to a power law; measuring the actual diameter of the next adjacent segment; selecting either the calculated maximum diameter or the measured maximum diameter depending upon which diameter is larger; using the selected maximum diameter to find the maximum diameter of this next segment; iteratively proceeding until the entire length of the vessel is examined; and selecting a stent in response to the diameters of the end proximal and distal segments.

    Abstract translation: 部分地,本发明涉及一种用于定位用于放置在容器中的支架的尺寸的方法。 在一个实施例中,该方法包括以下步骤:将容器分成多个段,每个段被定义为容器的分支之间的空间; 选择似乎没有疾病的起点; 此时将直径定义为最大直径; 根据幂律计算下一相邻段的最大直径; 测量下一个相邻段的实际直径; 选择计算的最大直径或测量的最大直径取决于哪个直径较大; 使用所选择的最大直径来找到该下一段的最大直径; 反复进行,直到检查船舶的整个长度; 以及响应于末端近端和远端段的直径选择支架。

    Dynamic Visualization For Device Delivery

    公开(公告)号:US20250049512A1

    公开(公告)日:2025-02-13

    申请号:US18798322

    申请日:2024-08-08

    Abstract: The present disclosure provides systems and methods for dynamically visualizing the delivery of a device within a vessel by correlating at least one first extraluminal image with second extraluminal images. The extraluminal images may be correlated based on motion features, without the use of other sensors or timestamps. The first extraluminal image may be a high dose contrast x-ray angiogram (“XA”) and the second extraluminal images may be low dose contrast XAs. The high dose contrast XA may be used to generate a vessel map. The low dose contrast XAs may be taken during the delivery of a device, such as a balloon, stent, probe, or the like. Correlating the high dose XA and low dose XA based on motion features allows for the vessel map to be overlaid on the low dose XA to provide the physician visualization of where the device is within the vessel tree in real time.

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

    公开(公告)号:US12148165B2

    公开(公告)日:2024-11-19

    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.

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