Abstract: A catheter delivery device includes a hollow longitudinal body, a fluidic bypass, and a hemostasis valve. The hollow longitudinal body includes a clamping portion and a guide catheter. The guide catheter has a distal end for access into a vessel of a patient and a proximal end coupled to the clamping portion. The clamping portion has a distal end coupled to the guide catheter, a proximal end coupled to the hemostasis valve, and a guidewire securing section. When the guidewire securing section of the clamping portion is securing the guidewire, the fluidic bypass maintains fluid communication between the guide catheter and the hemostasis valve. In some cases, the guidewire securing section and the fluidic bypass are separated by material within the hollow longitudinal body. In some cases, the fluidic bypass is separate from the guidewire securing section outside of the hollow longitudinal body.

Abstract: A catheter delivery device includes a hollow longitudinal body, a fluidic bypass, and a hemostasis valve. The hollow longitudinal body includes a clamping portion and a guide catheter. The guide catheter has a distal end for access into a vessel of a patient and a proximal end coupled to the clamping portion. The clamping portion has a distal end coupled to the guide catheter, a proximal end coupled to the hemostasis valve, and a guidewire securing section. When the guidewire securing section of the clamping portion is securing the guidewire, the fluidic bypass maintains fluid communication between the guide catheter and the hemostasis valve. In some cases, the guidewire securing section and the fluidic bypass are separated by material within the hollow longitudinal body. In some cases, the fluidic bypass is separate from the guidewire securing section outside of the hollow longitudinal body.

Abstract: A method for machine learning based ultrasound image reconstruction can include receiving, at a reconstruction engine, imaging data; generating an initial estimate for a transmission image via a neural network trained (machine or self-learning) on paired transmission ultrasound and reflection ultrasound data; and performing image reconstruction using the initial estimate to generate transmission ultrasound images. The image reconstruction can generate higher quality transmission ultrasound when carried out by using the initial estimate as the starting point for iterative image reconstruction and using transmission data obtained via conventional transmission ultrasound frequencies (e.g. from 0.8 MHz to 1.5 MHz).

Abstract: A method for machine learning based ultrasound image reconstruction can include receiving, at a reconstruction engine, imaging data; generating an initial estimate for a transmission image via a neural network trained (machine or self-learning) on paired transmission ultrasound and reflection ultrasound data; and performing image reconstruction using the initial estimate to generate transmission ultrasound images. The image reconstruction can generate higher quality transmission ultrasound when carried out by using the initial estimate as the starting point for iterative image reconstruction and using transmission data obtained via conventional transmission ultrasound frequencies (e.g. from 0.8 MHz to 1.5 MHz).

Abstract: An automated system for selecting patient breast laterality is provided. A position sensor system using force or image sensors is coupled to a scanning bed or seated-type apparatus. Regardless of the size and weight of the patient, the position of patient at the time of scan will not be centered with respect to the center of the scanner. This relative difference in the position will be sensed as a difference in the transducer signal of an image sensor when comparing the right- and left-hand sides of the field of view or will be sensed as a difference in voltage when comparing the right and left-hand side outputs of a circuit using force or pressure sensor.

Abstract: Systems and methods for the retention and stabilization of anatomy for ultrasound imaging are described. A system can include a vessel with a flexible membrane covering an opening, a fluid pressure sensor, a pump, and a pump controller for adding and removing fluid from the vessel until an optimum fluid pressure value or range of values is achieved. A method can include identifying an optimum fluid pressure range or value for retaining a specified body part in a stable position against a flexible membrane, monitoring the pressure of fluid in a vessel having the flexible membrane covering an opening, and directing a pump to add or remove fluid until the optimum fluid pressure value or range of values is achieved.

Abstract: The speed of sound, attenuation, and reflection data obtained through quantitative Transmission ultrasound (QTUS) differs by body tissue type. Skin, fat, gland, duct and connective tissues can be classified based on the sound, attenuation, and reflection data. The system can assign coloration to breast images to provide a color-coded breast tissue volume based on the output of the classifier.

Abstract: Microcalcifications can be detected using quantitative ultrasound tomography. Refraction-corrected reflection images generated from a quantitative ultrasound system can be thresholded, and morphologically analyzed to isolate voxels corresponding to microcalcifications.

Abstract: The speed of sound, attenuation, and reflection data obtained through quantitative Transmission ultrasound (QTUS) differs by body tissue type. Skin, fat, gland, duct and connective tissues can be classified based on the sound, attenuation, and reflection data. The system can assign coloration to breast images to provide a color-coded breast tissue volume based on the output of the classifier.

Abstract: An automated system for selecting patient breast laterality is provided. A position sensor system using force or image sensors is coupled to a scanning bed or seated-type apparatus. Regardless of the size and weight of the patient, the position of patient at the time of scan will not be centered with respect to the center of the scanner. This relative difference in the position will be sensed as a difference in the transducer signal of an image sensor when comparing the right- and left-hand sides of the field of view or will be sensed as a difference in voltage when comparing the right and left-hand side outputs of a circuit using force or pressure sensor.

Abstract: Systems and methods for the retention and stabilization of anatomy for ultrasound imaging are described. A system can include a vessel with a flexible membrane covering an opening, a fluid pressure sensor, a pump, and a pump controller for adding and removing fluid from the vessel until an optimum fluid pressure value or range of values is achieved. A method can include identifying an optimum fluid pressure range or value for retaining a specified body part in a stable position against a flexible membrane, monitoring the pressure of fluid in a vessel having the flexible membrane covering an opening, and directing a pump to add or remove fluid until the optimum fluid pressure value or range of values is achieved.