Exo Imaging, Inc.

A device receives an image. The image is applied to a sequence of encoders that includes a first encoder and one or more subsequent encoders, each including a U network encoder which performs convolution neural network processing. The one or more subsequent encoders receive a down-sampled version of the image from a prior encoder. The sequence of encoders form a first dimension orthogonal to the orthogonal dimension. A result of the sequence of encoders is applied to a sequence of decoders that includes a first decoder and one or more subsequent decoders. A respective decoder comprises a U network decoder that performs convolution neural network processing of an up-sampled version of the image from the first decoder. Probability outputs are produced from paired encoders and decoders in the sequence of encoders and the sequence of decoders. The probability outputs are combined to form a final output.

Methods and systems for ultrasound imaging and beamforming with a matrix array of transducer elements are provided. Receive signals of each transducer array element are amplified. The amplified receive signal of each transducer array element is digitized. A delay and weight are applied on the amplified and digitized receive signals. The amplified, digitized, delayed, and weighted receive signals are summed across all transducer elements of the matrix array to form a dynamically focused receive beam. An application specific integrated circuit (ASIC) that is integrated with the matrix array of transducer elements performs such steps.

Point of care ultrasound examinations can be routed and processed in a computer network via the platforms, systems, and methods disclosed herein. The platforms, systems, and/or methods can use computing devices that are configured to provide a client application and at least one server processor for enabling use of an application. The examinations can be managed using an interface that allows an administrator user to assign user roles to other users, which can enable interactions within the network for processing and serving an ultrasound exam object. The ultrasound exam object can include patient data, images, and/or other relevant information.

A micromachined ultrasonic transducer (MUT) which comprises a first piezoelectric layer and a second piezoelectric layer. The first piezoelectric layer is disposed between a first electrode and a second electrode. The second piezoelectric layer is disposed between the second electrode and a third electrode. At least the first electrode has first and second ends along a first axis, one or more of which is defined by a radius of curvature R. A second axis normal to the first passes through a midpoint of the first axis. A half-width of the first electrode is defined by a length L measured from the midpoint, in the direction of the second axis, to an outer perimeter of the first electrode. A total width of the first electrode at its narrowest point along the first axis is at most 2L such that the first electrode has a concave shape. R/L is greater than 1.

A method includes generating a series of two-dimensional (2D) ultrasound images of a tissue volume associated with a plurality of positions, respectively, along a scanning direction of the tissue volume. The method includes, for a pair of consecutive 2D ultrasound images, using a deep neural network to classify a difference between the pair of consecutive 2D ultrasound images of the series of 2D ultrasound images. The deep neural network is trained to classify differences between images based on one of a plurality of predefined classes. The method includes modifying a number of 2D ultrasound images in the series of 2D ultrasound images based on the classification of the difference between the pair of consecutive 2D ultrasound images of the series of 2D ultrasound images, thereby producing a modified series of 2D ultrasound images. The method includes performing a measurement of tissue using the modified series of 2D ultrasound images.

In one example in accordance with the present disclosure, an imaging device is described. The imaging device includes an array of transducers. Each transducer includes an array of piezoelectric elements. Each piezoelectric element transmits pressure waves towards an object to be imaged and receives reflections of the pressure waves off the object to be imaged. The imaging device also includes a transmit channel per one or more piezoelectric elements to generate the pressure waves and a receive channel per one or more piezoelectric elements to process the reflections of the pressure waves. The number of channels are selectively altered to control parameters such as power consumption and temperature.

A method for cross-referencing of 2D ultrasound scans of a tissue volume comprises generating first and second 2D representations of a target anatomy, respectively, from first and second series of 2D ultrasound images of the tissue volume generated. The method includes generating first and second simulated 2D representations of the target anatomy, respectively, from the second and first series of 2D ultrasound images. The 2D and simulated 2D representations are processed to at least substantially match pixel positions in the 2D and simulated 2D representations associated with the target anatomy. The method includes determining first and second correspondence transformation matrices from the processed 2D and simulated 2D representations, and using the first and second correspondence transformation matrices to determine, for a location in the second series of 2D ultrasound images associated with the target anatomy, a corresponding location in the first series of 2D ultrasound images.

A final ultrasound image can be formed by receiving an actual ultrasound image from an ultrasound imaging device, the actual ultrasound image being formed using parameters, creating a synthetic ultrasound image using a simulation model based on the parameters; and forming the final ultrasound image based on the synthetic ultrasound image and the actual ultrasound image.

Disclosed herein are ultrasonic transducer systems comprising: an ultrasonic imager comprising a plurality of pMUT transducer elements; and one or more circuitries connected electronically to the plurality of transducer element, the one or more circuitries configured to enable: pulse transmission and reception of reflected signal for the ultrasonic transducer; and control of the ultrasonic transducer, the control of the ultrasonic transducer comprising focusing ultrasonic beam in an elevation direction.

Disclosed herein are portable ultrasound imaging systems for thumb-dominant operations comprising: a portable ultrasound probe, wherein the portable ultrasound probe is configured to be operable using a first hand of the user; a mobile device comprising a mobile application installed thereon, the mobile application comprising a user interface, the mobile application configured to be operable using a second hand of the user and; and direct electronic communication between the portable ultrasound probe and the mobile device, the direct electronic communication configured to allow a user to control an operation of the portable ultrasound probe for imaging via user interaction with the user interface