A61B8/5269

Ultrasonic diagnostic apparatus and image generating method

An ultrasonic diagnostic apparatus in an embodiment includes processing circuitry. The processing circuitry is configured to cause an ultrasonic probe to perform an ultrasound scan of a subject. The processing circuitry is configured to generate a shadow image by assigning at least one of hue, saturation, and lightness depending on a feature of an acoustic shadow that has appeared in the result of the ultrasound scan.

ULTRASOUND DIAGNOSTIC APPARATUS, METHOD FOR CONTROLLING ULTRASOUND DIAGNOSTIC APPARATUS, AND PROCESSOR FOR ULTRASOUND DIAGNOSTIC APPARATUS
20220378397 · 2022-12-01 · ·

An ultrasound diagnostic apparatus (1) includes a urinary bladder extraction unit (9), a feature quantity calculation unit (10), a failed frame determination unit (16), a rescan determination unit (17), a rescan recommendation unit (19), a measurement frame selection unit (12), and a urine volume measurement unit (13). The urinary bladder extraction unit (9) extracts a urinary bladder region from an ultrasound image. The feature quantity calculation unit (10) calculates a feature quantity of the urinary bladder region. The failed frame determination unit (16) determines whether the ultrasound image is of a failed frame for which a scan with an ultrasonic beam has failed. The rescan determination unit (17) determines whether a rescan with an ultrasonic beam is needed based on a time-series change in the feature quantity and a time-series position of the failed frame. The rescan recommendation unit (19) recommends the rescan with the ultrasonic beam to the user if the rescan with the ultrasonic beam is determined to be needed. The measurement frame selection unit (12) selects an ultrasound image of a measurement frame based on the feature quantity. The urine volume measurement unit (13) analyzes the ultrasound image of the measurement frame to measure a urine volume.

Ultrasonic system of contact type flexible conformal ultrasonic probe and method for the same

The invention relates to the field of ultrasonic imaging detection, and more particularly, to an ultrasonic system of a contact type flexible conformal ultrasonic probe and a method for the same. The ultrasonic system comprises: a flexible probe, comprising a flexible detection surface, a plurality of probe units, and a soft film sensing surface; a switch module; a control module, comprising: a transmitting control unit for sequentially controlling the probe units in the probe array to transmit the ultrasonic signal; a receiving control unit for sequentially controlling the probe units in the probe array to receive the ultrasonic signal, and for processing the ultrasonic signal to obtain a ultrasonic image. The present invention has the following beneficial effects: the use of a flexible probe for acquiring an ultrasonic image allows to solve the problem that the operation process and imaging steps are complicated when using a rigid probe.

Methods for super-resolution ultrasound imaging of microvessels

Systems and methods for super-resolution ultrasound imaging of microvessels in a subject are described. Ultrasound data are acquired from a region-of-interest in a subject who has been administered a microbubble contrast agent. The ultrasound data are acquired while the microbubbles are moving through, or otherwise present in, the region-of-interest. The region-of-interest may include, for instance, microvessels or other microvascuiature in the subject. By isolating, localizing, tracking, and accumulating the microbubbles in the ultrasound data, super-resolution images of the microvessels can be generated.

Systems and methods for image processing

The present disclosure is related to systems and methods for image processing. The method may include obtaining an image including at least one of a first type of artifact or a second type of artifact. The method may include determining, based on a trained machine learning model, at least one of first information associated with the first type of artifact or second information associated with the second type of artifact in the image. The trained machine learning model may include a first trained model and a second trained model. The first trained model may be configured to determine the first information. The second trained model may be configured to determine the second information. The method may include generating a target image based on at least part of the first information and the second information.

Systems and methods for ultrasound image quality determination

Methods and systems are provided for assessing image quality of ultrasound images. In one example, a method includes determining a probe position quality parameter of an ultrasound image, the probe position quality parameter representative of a level of quality of the ultrasound image with respect to a position of an ultrasound probe used to acquire the ultrasound image, determining one or more acquisition settings quality parameters of the ultrasound image, each acquisition settings quality parameter representative of a respective level of quality of the ultrasound image with respect to a respective acquisition setting used to acquire the ultrasound image, and providing feedback to a user of the ultrasound system based on the probe position quality parameter and/or the one or more acquisition settings quality parameters, the probe position quality parameter and each acquisition settings quality parameter determined based on output from separate image quality assessment models.

System and methods for flash suppression in ultrasound imaging
11506771 · 2022-11-22 · ·

Methods and systems are provided for color flow ultrasound imaging. In one embodiment, a method comprises acquiring color flow data, detecting, with a neural network, a flash artifact in the color flow data, adjusting an adaptive filter cutoff of a clutter filter based on a classification result of the neural network, filtering, with the clutter filter, the flash artifact from the color flow data, and displaying a color flow image generated from the filtered color flow data. In this way, strong flash artifacts caused by strong tissue movement or probe movement may be dynamically suppressed during color flow ultrasound imaging.

Non-Metallic Ultrasound-Detectable Markers

Markers (e.g., treatment site markers, biopsy site markers) are composed of a non-metallic material having a composition and/or other features or characteristics such that the markers will generate twinkling artifacts when imaged with ultrasound. In this way, the composition of the markers enables their detection and localization using ultrasound. The markers are generally composed of non-metallic materials that enhance the twinkling artifact.

Acoustic wave image generating apparatus and control method thereof
11583247 · 2023-02-21 · ·

There are provided an acoustic wave image generating apparatus for generating a B-mode image having a fixed brightness and a control method thereof. First brightness information (81) indicating the brightness of a first B-mode image in the depth direction of the subject is generated. Positional deviation correction is performed on an acoustic wave echo signal having a positional deviation between the focusing position of acoustic waves and the observation target position, and second brightness information (82) indicating the brightness in the depth direction of the subject is generated from a superposition signal obtained by superimposing an acoustic wave echo signal for which the positional deviation has been corrected and an acoustic wave echo signal without positional deviation. The brightness of the first B-mode image is corrected based on the first brightness information and the second brightness information.

DEVICE AND CONTROL PROGRAM
20220361851 · 2022-11-17 ·

A device and a control program of a device. According to an embodiment, the device includes a display and a processor. The processor is configured to display first and second B-mode images created based on an echo signal of an ultrasonic pulse acquired from a subject on the display. The first and second B-mode images displayed on the display are moving images, and the first and second B-mode images of each frame forming the moving image are created based on the same echo signal. The second B-mode image is displayed smaller than the first B-mode image on the display.