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.
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.
Abstract:
Pressure sensing guidewires and methods for making and using pressure sensing guidewires are disclosed. An example pressure sensing guidewire may include a tubular member having a proximal region and a housing region. An optical pressure sensor may be disposed within the housing region. The optical pressure sensor may include a sensor body and a deflectable membrane coupled to the sensor body. The deflectable membrane may include a polymer. An optical fiber may be coupled to the sensor body and may extend proximally therefrom. A pressure equalization channel is formed in the optical fiber, the sensor body, or both.
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.
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.
Abstract:
A medical imaging assembly includes an elongated catheter having a connector at the proximal end; an array of transducers on the distal end of the catheter; conductors electrically coupled to the array of transducers and in electrical communication with the connector of the catheter; and a control unit coupleable to the catheter to send and receive electrical signals between the control unit and the array of transducers through the connector of the catheter. The control unit has a processor to execute instructions including 1) selecting a first subset of M transmitting transducers and a second subset of N receiving transducers from the array of transducers, where N>M; and 2) for each of at least N transmit/receive cycles, a) directing the first subset of M transmitting transducers to transmit an acoustic signal; and b) directing the second subset of N receiving transducers to receive corresponding echo signals.
Abstract translation:医疗成像组件包括在近端具有连接器的细长导管; 在导管的远端上的一组换能器; 导体,电耦合到换能器阵列并与导管的连接器电连通; 以及控制单元,其可耦合到导管,以通过导管的连接器在控制单元和换能器阵列之间发送和接收电信号。 所述控制单元具有执行指令的处理器,所述指令包括1)从所述传感器阵列中选择M个发射换能器的第一子集和N个接收换能器的第二子集,其中N> M; 和2)对于至少N个发射/接收周期中的每一个,a)引导M个发射换能器的第一子集发射声信号; 以及b)指示N个接收换能器的第二子集接收相应的回波信号。
Abstract:
The present disclosure provides to match side branches from different imaging modalities. Side branches detected from a series of intravascular images can be matched with side branches detected from an extravascular image. The pairs of matches can be determined based on an initially identified reference pair and then a technique that accounts for the characteristics of the side branch, such as, the diameter, the orientation, the relative size, and/or the relative order.
Abstract:
The present disclosure provides to generate a 3D visualization of a vessel from intravascular ultrasound (IVUS) images. In particular, the present disclosure provides to reduce jitter between frames of an IVUS recording to provide a smoother appearance of a longitudinal view of the vessel from the IVUS image frames and to construct a 3D visualization of the vessel from the jitter compensated IVUS image frames.
Abstract:
The present disclosure provides a graphical user interface (GUI) arranged to convey information related to the IVUS images and lesion assessment and provide for the user to manipulate the information. The GUIs can be generated to include a cross-section view without assessments post recording of IVUS images and to depict assessments after navigation through frames of the IVUS images.
Abstract:
Methods include capturing intravascular ultrasound images. A drive motor is used to actively drive an ultrasound transducer at a set rotation speed. A temporary sensing window is created in which the ultrasound transducer is driven with a fixed drive signal. A plurality of signals from are received the ultrasound transducer during the temporary sensing window.