Abstract: Methods, Apparatuses, and Systems of operating a laser atherectomy system to perform an endoscopic atherectomy procedure within a vessel at a therapeutic region of an anatomical condition by use of an atherectomy laser device coupled to an ultrasound imaging probe. The atherectomy laser device operates to generate photoacoustic signals from a light source of the atherectomy laser device to for guidance within the vessel and to characterize tissue about the therapeutic region by delivery of pulsed wavelengths within the vessel, and to perform operations of tissue ablation directed to the anatomical condition. This enables guidance of the atherectomy laser device by feedback from the viewing of photoacoustic images based on photoacoustic signals generated the atherectomy laser device and created in response to changes in acoustic intensity due to changes of optical wavelength monitored by the ultrasound imaging probe.

Abstract: Systems and methods for laser catheter treatment in a vessel lumen. The method includes inserting the laser catheter within the vessel lumen to a location of a treatment area; presenting an image of the treatment area within the vessel lumen based on using an ultrasound (US) imaging system; and, detecting, in real-time, a bubble cloud that is a function of the laser catheter operation (at a prescribed speed and controlling a fluence and a pulse rate) in the treatment area. The method determines a vessel diameter, a real-time location and measurements of the bubble cloud, and estimates a dwell position and dwell time. A dynamic displayed image that is indicative of a progression of the laser catheter treatment is presented, and commands may be generated to modify the laser catheter parameters responsive to the estimated dwell position, the estimated dwell time, and a recommended treatment protocol.

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: Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound transducer array, a plurality of images of a patient body at different imaging planes; determine a first imaging plane based on a first image of the plurality of images by applying a first predictive network, wherein a second image of the plurality of images is based on the first imaging plane, and wherein the second image includes an imaging view of at least one of an anatomy of the patient body or a medical device within the anatomy; apply a second predictive network to the second image to generate segmentation data; and output, to a display, a displayed image including an indication of a first portion of the at least one of the anatomy or the medical device based on the segmentation data.

Abstract: Ultrasound image devices, systems, and methods are provided. An ultrasound imaging system comprising a processor circuit configured to receive, from an ultrasound imaging device, a sequence of input image frames of a moving object over a time period, wherein the moving object comprises at least one of an anatomy of a patient or a medical device traversing through the patient's anatomy, and wherein a portion of the moving object is at least partially invisible in a first input image frame of the sequence of input image frames; apply a recurrent predictive network to the sequence of input image frames to generate segmentation data; and output, to a display, a sequence of output image frames based on the segmentation data, wherein the portion of the moving object is fully visible in a first output image frame of the sequence of output image frames.