ALIGNMENT FOR MULTIPLE SERIES OF INTRAVASCULAR IMAGES

    公开(公告)号:US20240382180A1

    公开(公告)日:2024-11-21

    申请号:US18667989

    申请日:2024-05-17

    Abstract: The present disclosure provides to process intravascular ultrasound (IVUS) images from different runs through a vessel to generate a mapping between frames of each IVUS run and to generate a graphical user interface (GUI) to graphically present the IVUS runs in relationship to each other. In some examples, a vessel fiducial is identified in a frame of each IVUS run and one or both runs are offset in time, distance, and/or angle to align the frames with the identified vessel fiducial. Further, the disclosure provides to angularly align intravascular images to a viewing perspective of an external image of the vessel.

    Systems and methods for vascular image co-registration

    公开(公告)号:US12087000B2

    公开(公告)日:2024-09-10

    申请号:US17680482

    申请日:2022-02-25

    CPC classification number: G06T7/38 G06T7/0014 G06T2207/10016 G06T2207/30101

    Abstract: This disclosure provides alternative medical imaging systems and methods for vascular imaging co-registration. Methods include obtaining extravascular imaging data of a portion of a blood vessel including an extravascular image showing an intravascular imaging device disposed within the vessel with an imaging element disposed at a starting location for a translation procedure. The extravascular image also includes an extravascular contrast image showing the portion of the blood vessel with contrast showing a visualized anatomical landmark. Intravascular imaging data is obtained during the translation procedure that includes one or more intravascular images showing a detected anatomical landmark. The starting location and the ending location of the imaging element on the extravascular imaging data is marked, and the predicted location of the detected anatomical landmark on the extravascular imaging data is marked. The predicted location of the detected anatomical landmark is then aligned with the visualized anatomical landmark.

    DOMAIN ADAPTATION TO ENHANCE IVUS IMAGE FEATURES FROM OTHER IMAGING MODALITIES

    公开(公告)号:US20240386553A1

    公开(公告)日:2024-11-21

    申请号:US18666470

    申请日:2024-05-16

    Abstract: The present disclosure provides devices and methods to process intravascular images of a vessel of one imaging modalities and to generate, extract and adapt features from another imaging modality to generate a hybrid image comprising features from both modalities. The disclosure provides devices and methods to train deep generative models to adapt domain specific features from one intravascular imaging modality (e.g., OCT, or the like) to another intravascular imaging modality (e.g., IVUS) and integrate the adapted features into the images from the other intravascular imaging modality.

    DUAL VIEW FOR MULTIPLE SERIES OF IVUS IMAGES

    公开(公告)号:US20240382181A1

    公开(公告)日:2024-11-21

    申请号:US18667955

    申请日:2024-05-17

    Abstract: The present disclosure provides to process intravascular ultrasound (IVUS) images from different runs through a vessel to generate a mapping between frames of each IVUS run and to generate a graphical user interface (GUI) to graphically present the IVUS runs in relationship to each other. In some examples, a vessel fiducial is identified in a frame of each IVUS run and one or both runs are offset in time, distance, and/or angle to align the frames with the identified vessel fiducial. Further, the disclosure provides to angularly align intravascular images to a viewing perspective of an external image of the vessel.

    SYSTEMS AND METHODS FOR VASCULAR IMAGE CO-REGISTRATION

    公开(公告)号:US20230309835A1

    公开(公告)日:2023-10-05

    申请号:US18128930

    申请日:2023-03-30

    CPC classification number: A61B5/0066 A61B5/02007 A61B8/0891

    Abstract: This disclosure provides methods for vascular imaging co-registration and using the co-registered imaging data in guiding live fluoroscopy. Extravascular imaging data includes an extravascular contrast image showing the portion of the blood vessel with contrast showing a visualized anatomical landmark while intravascular imaging data is obtained during a translation procedure that includes one or more intravascular images showing a detected anatomical landmark. The starting location and the ending location of the imaging element on the extravascular imaging data is marked, and the predicted location of the detected anatomical landmark on the extravascular imaging data is marked. The predicted location of the detected anatomical landmark is then aligned with the visualized anatomical landmark.

    SYSTEMS AND METHODS FOR VASCULAR IMAGE CO-REGISTRATION

    公开(公告)号:US20230210381A1

    公开(公告)日:2023-07-06

    申请号:US18091772

    申请日:2022-12-30

    CPC classification number: A61B5/02028 A61B8/0891 G06T2207/30101 G06N3/08

    Abstract: A neural network is trained for estimating patient hemodynamic data using a plurality of extravascular imaging data sets and a plurality of intravascular imaging data sets that are each co-registered to a corresponding extravascular imaging data set. A plurality of hemodynamic data sets are provided, each hemodynamic data set co-registered with the corresponding extravascular imaging data set. The neural network learns what hemodynamic data to expect for a given intravascular imaging data set. An intravascular imaging event is subsequently performed in which an intravascular imaging element is translated within a blood vessel of the patient to produce one or more intravascular images. The neural network uses its training to predict hemodynamic values corresponding to the one or more intravascular images from the intravascular imaging event, and the one or more intravascular images are outputted in combination with the predicted hemodynamic values.

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