Abstract: 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.

Abstract: Acoustic imaging artifacts produced by imaging systems and devices can be reduced or eliminated by including a multisink medium in the systems or devices. The multisink material can be disposed between an acoustically reflective component of the imaging system or device and an ultrasound transducer of the imaging system or device. Inclusion of a multisink medium that is thermally conductive and acoustically non-conductive can reduce acoustic imaging artifacts while maintaining or improving heat management within imaging systems and devices.

Abstract: Described are platforms, systems, and methods for efficient collection and processing of patient medical data, including medical images, videos, or multiframes and patient biographical information. Provision of a mobile device application comprising a scanning module configured to acquire patient biographical information and interface directly or indirectly with a network node provided with medical images obtained from a medical imaging system can decrease data loss in clinical settings, in various embodiments. Improvement of existing medical imaging systems using mobile device applications and/or system configurations described herein can significantly increase efficiency of data entry and analysis, in various embodiments.

Abstract: Described are micromachined ultrasonic transducer (MUT) arrays with trenches, reducing cross-talk between MUTs to mitigate undesirable artifacts in ultrasound images, as well as methods of making the same.

Abstract: Disclosed herein are computer-implemented medical ultrasound imaging methods, and systems for performing the methods, that comprise forming a first frame of an ultrasound image sequence with high image quality; forming at least one frame of the ultrasound image sequence with reduced image quality; forming a second frame of the ultrasound image sequence with high image quality; and improving the quality of the at least one frame of the ultrasound image sequence with reduced image quality using the first and/or the second frames of the ultrasound image sequence with high quality. In some cases, the improvement of the quality of the at least one frame of the ultrasound image sequence with reduced image quality is achieved by application of machine learning.

Abstract: 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.

Abstract: An apparatus includes a memory device with computer readable instructions and a processor configured to execute the computer readable instructions encoded on the memory device. The processor, in response to executing the computer readable instructions, obtains an ensemble of ultrasound images with diversity in an ensemble dimension, extracts a sub-set of data from each of the images, constructs a data matrix with the extracted data, wherein the data matrix has a dimension of space versus the ensemble dimension, identifies a largest eigenvalue(s) and a corresponding eigenvector(s) in the data matrix, computes a coherent signal projection matrix with the identified corresponding eigenvector(s), filters the data matrix with the coherent signal projection, and generates an ultrasound image with the filtered data matrix.

Abstract: An ultrasound imaging system includes a plurality of processing chains (2061, . . . , 206K) for a plurality of transducer element channels (1081, . . . , 108K). A processing chain of the plurality of processing chains, includes: a phase rotation processor (1141, . . . , 114K) that focuses an N-bit digital representation, of an analog RF signal received on the corresponding transducer element channel, through phase rotation through phase additions or subtractions, and outputs a focused N-bit quantized value, where N is a predetermined positive integer.

Abstract: An apparatus includes a memory device with computer readable instructions and a processor configured to execute the computer readable instructions encoded on the memory device. The processor, in response to executing the computer readable instructions, obtains an ensemble of ultrasound images with diversity in an ensemble dimension, extracts a sub-set of data from each of the images, constructs a data matrix with the extracted data, wherein the data matrix has a dimension of space versus the ensemble dimension, identifies a largest eigenvalue(s) and a corresponding eigenvector(s) in the data matrix, computes a coherent signal projection matrix with the identified corresponding eigenvector(s), filters the data matrix with the coherent signal projection, and generates an ultrasound image with the filtered data matrix.

Abstract: An ultrasound imaging system includes a plurality of processing chains (2061, . . . , 206K) for a plurality of transducer element channels (1081, . . . , 108K). A processing chain of the plurality of processing chains, includes: a phase rotation processor (1141, . . . , 114K) that focuses an N-bit digital representation, of an analog RF signal received on the corresponding transducer element channel, through phase rotation through phase additions or subtractions, and outputs a focused N-bit quantized value, where N is a predetermined positive integer.

Abstract: Methods, systems and system components for optimizing contrast resolution of an imaging or sensing system utilizing multiple channels of broadband data associated with an array of transducers. Channels of data are filtered by passing the channels of data through finite impulse response (FIR) filters on each channel. The filters each have multiple taps having tap weights pre-calculated as a function of distance of the array from an object that energy is being transmitted to or reflected from. The weights are pre-computed through a deterministic equation based on an a priori system model.

Abstract: A portable ultrasound imaging system includes a mobile computing device; a detachable front end component configured for attachment to and communication with the mobile computing device, and configured to transmit and receive ultrasound signals; and programming, when installed on the mobile computing device, being executable by the mobile computing device to cause the mobile computing device to send signals to the front end component causing the front end component to transmit the ultrasound signals, and to receive signals from the front end component resulting from the front end component receiving the receive ultrasound signals, and process the receive signal and display an ultrasound image resulting from the processing. The front end component is configured to be directly joined with the mobile computing device and directly connected, without the use of an external wire or cable.

Abstract: Methods, systems and system components for optimizing contrast resolution of an imaging or sensing system utilizing multiple channels of broadband data associated with an array of transducers. Channels of data are filtered by passing the channels of data through finite impulse response (FIR) filters on each channel. The filters each have multiple taps having tap weights pre-calculated as a function of distance of the array from an object that energy is being transmitted to or reflected from. The weights are pre-computed through a deterministic equation based on an a priori system model.

Abstract: Methods, systems and system components for optimizing contrast resolution of an imaging or sensing system utilizing multiple channels of broadband data associated with an array of transducers. Channels or data are filtered by passing the channels of data through finite impulse response (FIR) filters on each channel. The filters each have multiple taps having tap weights pre-calculated as a function of distance of the array from an object that energy is being transmitted to or reflected from. The weights are pre-computed through a deterministic equation based on an a priori system model.

Abstract: Methods systems and system components for optimizing contrast resolution of an imaging or sensing system utilizing multiple channels of broadband data associated with an array of transducers. Channels or data are filtered by passing the channels of data through finite impulse response (FIR) filters on each channel. The filters each have multiple taps having tap weights pre-calculated as a function of distance of the array from an object that energy is being transmitted to or reflected from. The weights are pre-computed through a deterministic equation based on an a priori system model.