Abstract: A screen assembly having a movable screen includes a screen, a screen-connecting member, a front casing, and a rear casing. A screen cable is partially routed through the drag chain, and has a first end and a second end that are respectively exposed from different ends of the drag chain; the second end of the screen cable is fixed inside the screen assembly, and the first end is connected to the screen; one end of the drag chain is fixed on the screen-connecting member, and the other end of the drag chain is fixed on the front casing; and the anti-friction sleeve encloses a part, located in the drag chain, of the screen cable, and the anti-friction sleeve is not entirely connected with the drag chain or the screen cable in a tightly wrapped manner.

Abstract: Disclosed is an ultrasound roadmap image generation system. The system includes a processor configured for communication with an ultrasound imaging device that is movable relative to a patient. The processor receives a first bi-plane or 3D image representative of a first volume within the patient and a second bi-plane or 3D image representative of a second volume within the patient. The processor then registers the first bi-plane or 3D image and the second bi-plane or 3D image to determine the motion between the first bi-plane or 3D image and the second bi-plane or 3D image. The processor then generates a 2D roadmap image of a region of interest by combining the first bi-plane or 3D image and the second bi-plane or 3D image, based on the determined motion; and outputs a screen display comprising the 2D roadmap image.

Abstract: A device (1) for providing guidance during a procedure to remove tissue vegetation from an implant site using an aspiration catheter (2) in which aspiration is controlled by vacuum suction includes a Doppler ultrasound imaging device (10) configured to acquire ultrasound data of the implant site including Doppler ultrasound data of the implant site and imaging data of the implant site. An electronic processor (12) is programmed to identify a portion of the aspiration catheter in the imaging data of the implant site; measure fluid flow through the aspiration catheter as a function of time based on the Doppler ultrasound data corresponding to the identified portion of the aspiration catheter; and provide guidance for the aspiration based on the measured fluid flow through the aspiration catheter.

Abstract: A system for localizing a three-dimensional field of view of a beamforming ultrasound imaging probe based on a position indicator disposed within said field of view. The beamforming ultrasound imaging probe transmits and receives ultrasound signals within a three-dimensional field of view comprising a plurality of predetermined sub-volumes, each sub-volume being defined by a two dimensional array of beams. A controller causes the beamforming ultrasound imaging probe to scan the sub-volumes sequentially by transmitting and receiving ultrasound signals corresponding to each beam. A tracking system determines a position of the position indicator within the three-dimensional field of view; and determines a sub-volume in which the position indicator is located.

Abstract: A system for localizing a three-dimensional field of view of a beamforming ultrasound imaging probe based on a position indicator disposed within said field of view. The beamforming ultrasound imaging probe transmits and receives ultrasound signals within a three-dimensional field of view comprising a plurality of predetermined sub-volumes, each sub-volume being defined by a two dimensional array of beams. A controller causes the beamforming ultrasound imaging probe to scan the sub-volumes sequentially by transmitting and receiving ultrasound signals corresponding to each beam. A tracking system determines a position of the position indicator within the three-dimensional field of view; and determines a sub-volume in which the position indicator is located.

Abstract: An end effector state estimation system for use in minimally invasive surgery (MIS) applications performs sensing and prediction algorithms to determine and visualize the state of an implantable therapeutic device during deployment. The end effector state estimation system includes a flexible elongate member, a therapeutic device coupled to a distal portion of the flexible elongate member, a sensor that measures at least one parameter related to the deployment state of the therapeutic device, and a processor. The processor receives image data from an imaging system representative of the therapeutic device positioned within the body cavity of the patient and the at least one parameter from the sensor, determines the deployment state of the therapeutic device based on the image data and the at least one parameter, outputs a graphical representation of the deployment state of the therapeutic device.

Abstract: The following relates generally to systems and methods of transesophageal echocardiography (TEE) automation. Some aspects relate to a TEE probe with ultrasonic transducers on a distal end of the TEE probe. In some implementations, if a target is in a field of view (FOV) of the ultrasonic transducers, an electronic beam steering of the probe is adjusted; if the target is at an edge of the FOV, both the electronic beam steering and mechanical joints of the probe are adjusted; and if the target is not in the FOV, only the mechanical joints of the probe are adjusted.

Abstract: User feedback on acquisition of ultrasound data may be provided to a user. The feedback may indicate a quality of the acquisition and/or the reliability of the measurements calculated from the ultrasound data, for example, the volume flow measurements calculated from Doppler data. Various quality factors such as a signal-to-noise ratio (SNR), motion, Doppler angle, vessel size, vessel depth, and/or variance in velocity values may be determined to provide an indication of quality of the acquisition. The quality factors may be provided individually or in combination. In some examples, one or more quantitative values of the quality factors may be provided. In some examples, one or more qualitative indications of the quality of the acquisition may be provided.

Abstract: A controller (220) for determining a shape of an interventional medical device in an interventional medical procedure based on a location of the interventional medical device includes a memory (221) that stores instructions and a processor (222) that executes the instructions. The instructions cause a system (200) that includes the controller (220) to implement a process that includes obtaining (S320) the location of the interventional medical device (201) and obtaining (S330) imagery of a volume that includes the interventional medical device. The process also includes applying (S340), based on the location of the interventional medical device (201), image processing to the imagery to identify the interventional medical device (201) including the shape of the interventional medical device (201). The process further includes (S350) segmenting the interventional medical device (201) to obtain a segmented representation of the interventional medical device (201).

Abstract: The disclosure provided live streaming interface display method, device, apparatus, storage medium and program product. The method comprises displaying a live streaming interface, wherein the live streaming interface comprises an identification area, the identification area comprises at least one scene identification, and each scene identification is used for indicating a live streaming scene; in response to a first input on a first scene identification of the at least one scene identification, displaying at least one first data source identification corresponding to the first scene identification in the identification area, wherein the first scene identification is used for indicating a first live streaming scene, and each first data source identification is used for indicating one data source in the first live streaming scene.

Abstract: The disclosure provided live streaming interface display method, device, apparatus, storage medium and program product. The method comprises displaying a live streaming interface, wherein the live streaming interface comprises an identification area, the identification area comprises at least one scene identification, and each scene identification is used for indicating a live streaming scene; in response to a first input on a first scene identification of the at least one scene identification, displaying at least one first data source identification corresponding to the first scene identification in the identification area, wherein the first scene identification is used for indicating a first live streaming scene, and each first data source identification is used for indicating one data source in the first live streaming scene.

Abstract: User feedback on acquisition of ultrasound data may be provided to a user. The feedback may indicate a quality of the acquisition and/or the reliability of the measurements calculated from the ultrasound data, for example, the volume flow measurements calculated from Doppler data. Various quality factors such as a signal-to-noise ratio (SNR), motion, Doppler angle, vessel size, vessel depth, and/or variance in velocity values may be determined to provide an indication of quality of the acquisition. The quality factors may be provided individually or in combination. In some examples, one or more quantitative values of the quality factors may be provided. In some examples, one or more qualitative indications of the quality of the acquisition may be provided.

Abstract: The disclosure provided live streaming interface display method, device, apparatus, storage medium and program product. The method comprises displaying a live streaming interface, wherein the live streaming interface comprises an identification area, the identification area comprises at least one scene identification, and each scene identification is used for indicating a live streaming scene; in response to a first input on a first scene identification of the at least one scene identification, displaying at least one first data source identification corresponding to the first scene identification in the identification area, wherein the first scene identification is used for indicating a first live streaming scene, and each first data source identification is used for indicating one data source in the first live streaming scene.

Abstract: An ultrasound system according to the present disclosure may include a beamformer configured to perform per-channel weighting on the RF signals received at each channel in order to reduce noise clutter in the image. For this purpose, the beamformer may receive at one or more channels associated with an active aperture, sets of receive signals associated with respective transmit beams that at least partially overlap. The beamformer may alter the receive space, e.g., to align the sets of receive signals to a common location (e.g., between the transmit beams) and generate a coherence-based weighting value that may be indicative of blockage. The coherence-based weighting value may be applied on a per-channel basis to the receive signals. The beamformer may also communicate the coherence metric to the controller for altering the transmit space.

Abstract: 2019PF00643 32 ABSTRACT Disclosed is an ultrasound roadmap image generation system. The system includes a processor configured for communication with an ultrasound imaging device that is movable relative to a patient. The processor receives a first bi-plane or 3D image representative of a first volume within the patient and a second bi-plane or 3D image representative of a second volume within the patient. The processor then registers the first bi-plane or 3D image and the second bi-plane or 3D image to determine the motion between the first bi-plane or 3D image and the second bi-plane or 3D image. The processor then generates a 2D roadmap image of a region of interest by combining the first bi-plane or 3D image and the second bi-plane or 3D image, based on the determined motion; and outputs a screen display comprising the 2D roadmap image.

Abstract: An end effector state estimation system for use in minimally invasive surgery (MIS) applications performs sensing and prediction algorithms to determine and visualize the state of an implantable therapeutic device during deployment. The end effector state estimation system includes a flexible elongate member, a therapeutic device coupled to a distal portion of the flexible elongate member, a sensor that measures at least one parameter related to the deployment state of the therapeutic device, and a processor. The processor receives image data from an imaging system representative of the therapeutic device positioned within the body cavity of the patient and the at least one parameter from the sensor, determines the deployment state of the therapeutic device based on the image data and the at least one parameter, outputs a graphical representation of the deployment state of the therapeutic device.