Fujifilm Sonosite, Inc.

Sonosite, Inc.

Other

Fujifilm Corporation

Mass General Brigham

Thomas M Duffy

Paul Tomotaro Danset

Adam Benjamin Pely

Diku Pranav Mandavia

Davinder S Dhatt

Christopher Aleksandr White

Andrew Lundberg

Blake W Little

Justin M Coughlin

Tsuyoshi Matsumoto

Davin Dhatt

Mitchell S Kaplan

Craig Chamberlain

Kosei Takemoto

Christopher A White

Quanzheng Li

Kyungsang Kim

Robert W Steins

Christopher Alexksandr White

Andrew Liteplo

Suzannah Mckinney

Tomoki Inoue

Hidetoshi Takayama

Fabiola Macruz

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving an ultrasound image that includes one or more blood vessels, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the one or more blood vessels in the ultrasound image. The method includes receiving a user selection of an instrument size, and indicating, in the ultrasound image, at least one blood vessel of the one or more blood vessels based on the instrument size and the diameters of the one or more blood vessels.

Computing device and methods of implementing an ultrasound system for guiding instrument insertion

Methods and apparatuses for performing automated detection of lung slide using a computing device (e.g., an ultrasound system, etc.) are disclosed. In some embodiments, the techniques determine lung sliding using one or more neural networks. In some embodiments, the neural networks are part of a process that determines probabilities of the lung sliding at one or more M-lines. In some embodiments, the techniques display one or more probabilities of lung sliding in a B-mode ultrasound image.

Automated detection of lung slide to aid in diagnosis of pneumothorax

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes receiving ultrasound images that include a blood vessel, and determining, with a neural network implemented at least partially in hardware of the computing device, diameters of the blood vessel in the ultrasound images. The diameters include a respective diameter of the blood vessel for each ultrasound image of the ultrasound images. The method includes determining a blood vessel diameter based on the diameters of the blood vessel, selecting a color based on the blood vessel diameter, and indicating, in one of the ultrasound images, the blood vessel with an indicator having the color.

Displaying blood vessels in ultrasound images

Examples herein include methods, systems, and computer program products for utilizing neural networks in ultrasound systems. The methods include processor(s) of a computing device identifying a neural network for implementation on the computing device to generate, based on ultrasound data, inferences and confidence levels for the inferences, the computing device being communicatively coupled via a computing network to an ultrasound machine configured to generate the ultrasound data. The processor(s) implements the neural network on the computing device, including configuring the neural network to generate an inference and a confidence level for at least one image of the images. The processor(s) obtains the ultrasound data including images from the ultrasound machine. The processor(s) determines, for the at least one image, an accuracy of the inference and the confidence level. The processor(s) automatically reconfigures the neural network to increase the accuracy based on the determining the accuracy.

Neural network utilization with ultrasound technology

In one embodiment, a method is provided. The method includes transmitting a first set of ultrasound waves to determine whether there is fluid flow at a target area. The first set of ultrasound waves are transmitted at a first pulse repetition frequency. The method also includes determining whether there is fluid flow in a second area based on the first set of ultrasound waves. The second area is between the target area and an ultrasound probe. The method further includes transmitting a second set of ultrasound waves to detect fluid flow at the target area in response to determining that there is fluid flow in the second area between the target area and the ultrasound probe. The second set of ultrasound waves are directed towards the target area. The second set of ultrasound waves are transmitted at a second pulse repetition frequency.

Detecting fluid flows using ultrasound imaging systems

Systems and methods for automated ultrasound credentialing are described. In some embodiments, a credentialing system for issuing a sonographer credential to a sonography candidate includes an ultrasound probe coupled to a computing device and configured to generate ultrasound data. The computing device is configured to generate, based on the ultrasound data and as part of an automated review, an ultrasound examination score. The computing device is configured to transfer, based on the ultrasound examination score, the sonography candidate from the automated review to a manual review by a reviewer.

Ultrasound credentialing system

Guiding instrument insertion

A method and apparatus for identifying blood vessels in ultrasound images and displaying blood vessels in ultrasound images are described. In some embodiments, the method is implemented by a computing device and includes assigning, with a neural network implemented at least partially in hardware of the computing device, one of a vein classification and an artery classification to one or more blood vessels in ultrasound images. The method also includes determining a misclassification for one blood vessel that denotes the neural network assigning the one of the vein classification and the artery classification to the one blood vessel in one ultrasound image and the other of the vein classification and the artery classification to the one blood vessel in additional ultrasound images. The method includes displaying, in the one ultrasound image, an indication of the other of the vein classification and the artery classification for the one blood vessel.

Identifying blood vessels in ultrasound images

An ultrasound imaging system includes a processor to associate an ultrasound image with one or more pictographs that correspond to the image. A processor provides ultrasound image data to one or more trained neural networks that classify the image data. The processor is programmed to select one or more pictographs that correspond to the classified image data for presentation to the operator. In some embodiments, the processor is programmed to use a neural network to determine if an ultrasound image captured during an examination corresponds to one or more required views for a particular type of examination.

Method and apparatus for annotating ultrasound examinations

Adjustment of operation of an ultrasound imaging system may be based at least in part on one or more characteristics represented in ultrasound return signals from two or more sample volumes. Adjustment may include adjusting a principal sample volume location or selecting a new principal sample volume. For example, a location of a principal sample volume may be adjusted or new principal sample volume selected so as to remain focused on an identified region of interest or to maintain the principal sample volume relative to some structure or reference. The principal sample volume may be maintained in the center or along a centerline of an artery or other structure, as the transducer array is moved along the artery or structure.

Ultrasound imaging system and method with automatic adjustment and/or multiple sample volumes

An ultrasound imaging system and method employs hardware and/or software to monitor values indicative of analog-to-digital converter (ADC) saturation for each channel as a function of depth. Any of a number of actions may be performed based on the monitored values. For example, analog amplification or TGC may be adjusted to enhance the use of a dynamic range of ADCs while reducing or eliminating ADC saturation. A TGC profile may be adjusted. An alert may be provided. A power consumption may be adjusted.

Ultrasound imaging system apparatus and method with ADC saturation monitor

Disclosed are systems and methods which efficiently control storage of and/or access to data which includes repetitive data or data which is used by different modes, processes, etcetera. Embodiments provide control for storage of and/or access to large amounts of data used in ultrasound system beam forming for image generation using a hierarchy of sequencers for controlling storage of and/or access to data. A frame sequencer may provide control at a frame level while an address sequencer is implemented to provide control at a data access level.

Growing community of inventors

Snohomish, WA, United States of America

Thomas M Duffy