A multi-media product is created from fetal ultrasound images, during scanning of a fetus using an ultrasound scanner, and employs a specifically trained artificial intelligence (AI) model to execute on a computing device communicably connected to an ultrasound scanner, wherein the AI model is trained so that when the AI model is deployed, the computing device identifies and selects one or more fetal anatomical features, in whole or part, imaged in fetal ultrasound imaging data generated during ultrasound scanning as part of a clinical exam of the fetus, wherein the selected one or more fetal anatomical features are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and wherein after acquiring a new fetal ultrasound image during ultrasound scanning, the AI model selects the one or more fetal anatomical features, in whole or part, which are visually appealing for entertainment and keepsake purposes and are not part of a clinical assessment of the health or growth of the fetus and those selected non-clinical images are then used to generate the entertainment focused multi-media product.

Systems and methods are provided for semi-automated, portable, ultrasound guided cannulation. The systems and methods provide for image analysis to provide for segmentation of vessels of interest from image data. The image analysis provides for guidance for insertion of a cannulation system into a subject which may be accomplished by a non-expert based upon the guidance provided. The guidance may include an indicator or a mechanical guide to guide a user for inserting the vascular cannulation system into a subject to penetrate the vessel of interest.

Disclosed are methods and apparatus for viewing a contrast-enhanced ultrasound image and a dynamic data. The method comprises: receiving a first operation, for setting a first viewing range by a first browsing step length that is multiple frames; in response to the first operation, positioning the image data to a viewing neighborhood containing the first viewing range; receiving a second operation, on the view neighborhood by a second browsing step length that is a single frame; in response to the second operation, determining a current image frame corresponding to when the second operation is performed in the viewing neighborhood, and further positioning the image data to an adjacent frame of the current image frame to the user to view frame by frame. As such, doctors are helped to accurately locate desired image frames to significantly improve browsing efficiency with convenient operation and high user-friendliness to save time and reduce workload.

Systems and methods for aiding users in viewing, assessing and analyzing images, especially images of lumens and medical devices contained within the lumens. Systems and methods for interacting with images of lumens and medical devices, for example through a graphical user interface.

Disclosed herein is a system that includes an ultrasound imaging probe having a first optical fiber integrated therein and a console optically coupled with the ultrasound imaging probe via a first elongate member. The console includes one or more processors and a non-transitory computer-readable medium having stored thereon logic, that when executed by the one or more processors, causes operations that can include providing an incident light signal to the first optical fiber via the first elongate member, receiving reflected light signals of different spectral widths of the incident light from the first optical fiber and the second optical fiber, processing the reflected light signals to determine a first three-dimensional (3D) shape extending along a length including at least portions of the first optical fiber and the second optical fiber, and causing rendering of an image of the first 3D shape on a display of the medical system.

Various methods and systems are provided for a medical imaging system. In one embodiment, a method includes acquiring a series of medical images of a lung, identifying a pleural line in each medical image of the series, evaluating the pleural line for irregularities in each medical image of the series, and outputting an annotated version of each medical image of the series, the annotated version including visual markers for healthy pleura and irregular pleura. In this way, an operator of the medical imaging system may be alerted to pleural irregularities during a scan.

An ultrasound imaging system with an inertial tracking sensor (20) rigidly fixed to an ultrasound probe (10). In a first embodiment, a real-time pose estimation unit (32) enhances image based tracking using the inertial data stream to calculate out-of-plane angles of rotation and determine an out-of-plane translation by iteratively selecting planes with the estimated out-of-plane rotations with varying out-of-plane offset, computing the differences between sub-plane distances computed by speckle analysis and the selected plane minimizing for the root mean square of the differences for all selected planes. In another embodiment, the real-time pose estimation unit enhances inertial tracking using the ultrasound image data stream to estimate an in-plane rotation angle; and substituting the in-plane rotation angle for an angle of rotation estimated using the inertial data stream.

An interventional instrument (30) having ultrasound sensors (S1, S2, S3, S4, . . . ) is tracked using an ultrasound imaging device (10) that acquires and displays a 2D ultrasound image of a visualization plane (18), and performs 2D ultrasound sweeps for a range of plane angles (θ) obtained by rotating the ultrasound probe (12) and encompassing the visualization plane angle. For each ultrasound sensor, an optimal plane is found based on its emitted signal strength over the range of plane angles, and the ultrasound sensor is located in its optimal plane by analyzing the sensor signal as a function of the timing of the beams fired by the ultrasound probe. These locations in their respective optimal planes are transformed to a 3D reference space using a transform (42) parameterized by plane angle, and a visual indicator is displayed of spatial information (T, L) for the interventional instrument generated from the locations of the one or more ultrasound sensors in the 3D reference space.

An ultrasonic diagnosis apparatus includes a position detector, and control circuitry. The position detector detects a position in a three-dimensional space of one of an ultrasonic image and an ultrasonic probe. The control circuitry uses a vivisection view defined in a three-dimensional space. The control circuitry associates a structure related to a subject included in the ultrasonic image with a structure included in the vivisection view using a position and orientation in a first three-dimensional coordinate system of the structure related to the subject included in the ultrasonic image and a position and orientation in a second three-dimensional coordinate system of the structure included in the vivisection view.

For three-dimensional segmentation from two-dimensional intracardiac echocardiography imaging, the three-dimension segmentation is output by a machine-learnt multi-task generator. Rather than the brute force approach of training the generator from 2D ICE images to output a 2D segmentation, the generator is trained from 3D information, such as a sparse ICE volume assembled from the 2D ICE images. Where sufficient ground truth data is not available, computed tomography or magnetic resonance data may be used as the ground truth for the sample sparse ICE volumes. The generator is trained to output both the 3D segmentation and a complete volume (i.e., more voxels represented than in the sparse ICE volume). The 3D segmentation may be further used to project to 2D as an input with an ICE image to another network trained to output a 2D segmentation for the ICE image. Display of the 3D segmentation and/or 2D segmentation may guide ablation of tissue in the patient.