Abstract: Systems and methods are provided for ultrasound imaging with real-time feedback for cardiopulmonary resuscitation (CPR) compressions. Ultrasound images generated based on received echo ultrasound signals during cardiopulmonary resuscitation (CPR) of a patient may be processed, and based on the processing of the ultrasound images, real-time information relating to the cardiopulmonary resuscitation (CPR) may be determined. Feedback for assisting in conducting the cardiopulmonary resuscitation (CPR) may be generated based on the information. The feedback may include information and/or indications relating to compressions applied during the cardiopulmonary resuscitation (CPR). The feedback may be configured for outputting during displaying of the generated ultrasound images.

Abstract: Systems and methods are provided for enhanced heart medical imaging operations, particularly as by incorporating use of artificial intelligence (AI) based fetal heart functional analysis and/or real-time and automatic ejection fraction (EF) measurement and analysis.

Abstract: Various methods and systems are provided for annotating medical images such as ultrasound images. For example, a method for annotating a medical image includes segmenting a region of interest in the medical image, annotating the medical image by separately adjusting a value of each pixel in the region of interest, and outputting the annotated medical image to a display. As a further example adjusting the value of each pixel may include overlaying the pixel with color, colorizing the pixel based on the value of the pixel, and/or intensifying the value of the pixel.

Abstract: A system and method is provided for providing an indication of viewable and non-viewable parts of an interventional device in an ultrasound image. The system includes a processing unit including a detection and recognition system configured to detect a pattern of echogenic features within ultrasound images, and a memory unit operably connected to the processing unit storing information regarding echogenic patterns on individual interventional devices. The detection and recognition system determines viewable and non-viewable parts of detected echogenic patterns in the ultrasound image by comparing the dimensions of the stored echogenic patterns with the representation of the detected echogenic patterns in the ultrasound images and positions an indicator within the ultrasound image on the display in alignment with the locations of the viewable and non-viewable parts of the detected echogenic patterns on the interventional device.

Abstract: 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.

Abstract: A system and method for enhancing visualization of a pleural line by automatically detecting and marking the pleural line in images of an ultrasound scan is provided. The method includes receiving an ultrasound cine loop acquired according to a first mode. The method includes processing the ultrasound cine loop according to the first mode. The method includes processing at least a portion of the ultrasound cine loop according to a second mode. The method includes identifying a position of an anatomical structure based on the at least a portion of the ultrasound cine loop processed according to the second mode. The method includes displaying, at a display system, the position of the anatomical structure on a first mode image generated from the ultrasound cine loop processed according to the first mode.

Abstract: 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.

Abstract: A system and method for tracking an anatomical structure over time based on Pulsed-Wave (PW) Doppler signals of a Multi-Gated Doppler (MGD) signal is provided. The method may include identifying a gate corresponding with a selected anatomical structure. The method may include analyzing an MGD signal to track the selected anatomical structure over an extended period of time by selecting, at a plurality of sample times during the extended period of time, a PW Doppler signal from a plurality of PW Doppler signals of the MGD signal. Each of the selected PW Doppler corresponds with the selected anatomical structure at the particular sample time. The method may include presenting a continuous PW Doppler signal generated from each of the PW Doppler signals selected at each of the sample times during the extended period of time at a display system.

Abstract: Methods and systems are provided for augmenting ultrasound image training data, which may be used to train one or more machine learning models. One example method for augmenting ultrasound training data comprises, selecting an ultrasound image and a ground truth output corresponding to the ultrasound image, determining a first modification to apply to the ultrasound image, applying the first modification to the ultrasound image to produce an augmented ultrasound image, modifying the ground truth output based on the first modification to produce an augmented ground truth output corresponding to the augmented ultrasound image, and training a machine learning model using the augmented ultrasound image and the augmented ground truth output. In this way, a machine learning model may learn a more robust mapping from ultrasound image features to expected output, with less probability of overfitting, and with increased generalizability to noisy ultrasound images, or ultrasound images containing artifacts.

Abstract: Systems and methods are provided for enhanced heart medical imaging operations, particularly as by incorporating use of artificial intelligence (AI) based fetal heart functional analysis and/or real-time and automatic ejection fraction (EF) measurement and analysis.

Abstract: A system and method for simultaneously presenting Doppler signals of a Multi-Gated Doppler (MGD) signal corresponding to different anatomical structures is provided. The method includes receiving an MGD signal having a plurality of Doppler signals. The method includes analyzing the MGD signal to select multiple gates, each of the gates corresponding with a Doppler signal, and each of the selected gates associated with a different anatomical structure. The method includes selecting a set of parameters for each of the selected gates and applying each selected set of parameters for each of the selected gates. The selected set of parameters for each of the selected gates may be one or both of image acquisition parameters or display processing parameters. The method includes simultaneously presenting the Doppler signal for each of the selected gates at a display system after the each selected set of parameters is applied.

Abstract: A system and method for analyzing ultrasound scenes to provide needle guidance and warnings is provided. The method includes acquiring, by an ultrasound system, an ultrasound image. The method includes segmenting, by at least one processor, the ultrasound image to identify a plurality of structures in the ultrasound image. The method includes highlighting, by the at least one processor, the plurality of structures in the ultrasound image to create a highlighted ultrasound image. The method includes presenting, by the at least one processor, the highlighted ultrasound image at a display system. The method includes determining, by the at least one processor, a distance between at least two of the plurality of structures in the ultrasound image. The method includes providing, by the at least one processor, a warning if the distance between the at least two of the plurality of structures in the ultrasound image is less than a threshold.

Abstract: Systems and methods are provided for ultrasound imaging with real-time feedback for cardiopulmonary resuscitation (CPR) compressions. Ultrasound images generated based on received echo ultrasound signals during cardiopulmonary resuscitation (CPR) of a patient may be processed, and based on the processing of the ultrasound images, real-time information relating to the cardiopulmonary resuscitation (CPR) may be determined. Feedback for assisting in conducting the cardiopulmonary resuscitation (CPR) may be generated based on the information. The feedback may include information and/or indications relating to compressions applied during the cardiopulmonary resuscitation (CPR).

Abstract: A system and method for facilitating interaction by an ultrasound operator with an artificial intelligence segmentation module configured to identify and track biological and/or artificial structures in ultrasound images is provided. The method includes acquiring an ultrasound image and segmenting the ultrasound image with artificial intelligence to identify structure(s) in the ultrasound image. The method includes labeling the structure(s) in the ultrasound image to create a labeled ultrasound image. The method includes presenting the labeled ultrasound image at a display system. The method includes receiving a user selection of at least one target corresponding with at least one labeled structure. The method includes tracking the selected target(s) by identifying the selected target(s) in subsequently acquired ultrasound images.

Abstract: Methods and systems are provided for augmenting ultrasound image training data, which may be used to train one or more machine learning models. One example method for augmenting ultrasound training data comprises, selecting an ultrasound image and a ground truth output corresponding to the ultrasound image, determining a first modification to apply to the ultrasound image, applying the first modification to the ultrasound image to produce an augmented ultrasound image, modifying the ground truth output based on the first modification to produce an augmented ground truth output corresponding to the augmented ultrasound image, and training a machine learning model using the augmented ultrasound image and the augmented ground truth output. In this way, a machine learning model may learn a more robust mapping from ultrasound image features to expected output, with less probability of overfitting, and with increased generalizability to noisy ultrasound images, or ultrasound images containing artifacts.

Abstract: Various methods and systems are provided for imaging a needle using an ultrasound imager. In one example, a method may include receiving a target path or a target area of a needle, and adjusting a steering angle of an ultrasound beam emitted from an ultrasound probe based on the target path or the target area.

Abstract: A system and method for simultaneously presenting Doppler signals of a Multi-Gated Doppler (MGD) signal corresponding to different anatomical structures is provided. The method includes receiving an MGD signal having a plurality of Doppler signals. The method includes analyzing the MGD signal to select multiple gates, each of the gates corresponding with a Doppler signal, and each of the selected gates associated with a different anatomical structure. The method includes selecting a set of parameters for each of the selected gates and applying each selected set of parameters for each of the selected gates. The selected set of parameters for each of the selected gates may be one or both of image acquisition parameters or display processing parameters. The method includes simultaneously presenting the Doppler signal for each of the selected gates at a display system after the each selected set of parameters is applied.

Abstract: A system and method for tracking an anatomical structure over time based on Pulsed-Wave (PW) Doppler signals of a Multi-Gated Doppler (MGD) signal is provided. The method may include identifying a gate corresponding with a selected anatomical structure. The method may include analyzing an MGD signal to track the selected anatomical structure over an extended period of time by selecting, at a plurality of sample times during the extended period of time, a PW Doppler signal from a plurality of PW Doppler signals of the MGD signal. Each of the selected PW Doppler corresponds with the selected anatomical structure at the particular sample time. The method may include presenting a continuous PW Doppler signal generated from each of the PW Doppler signals selected at each of the sample times during the extended period of time at a display system.

Abstract: According to an embodiment of the invention there may be provided a method for measuring, by a power measurement circuit of a memory controller, a power consumption of a flash memory unit coupled to the memory controller to provide power measurements; wherein the memory controller further may include a read circuit, a write circuit, an erase circuit and a processor.