Abstract: A crop monitoring system may include an observation robot, a centralized server, and a user device. An observation robot may be autonomous. The observation robot may include a suite of sensors. The observation robot may include two cameras oriented towards opposite sides of the observation robot to capture images of plants on either side of the observation robot. The centralized server may store and/or execute various instructions for operating and/or communicating with the observation robot. The centralized server may store and/or execute various instructions for processing data such as images, sensor measurements, and environmental data obtained from the observation robot. The centralized server may store and/or execute various instructions for analyzing such data. The centralized server may store and/or execute various instructions for presenting the data to a user, such as via the user device.

Abstract: Techniques described in this application are directed to an autonomous robot that is configured to interact with its environment through identifying the presence and emotional state (e.g., mood) of live subjects in the scene. The autonomous robot includes one or more remote physiological data collecting sensors capable of remotely collecting physiological data such as heart rate, blood circulation, or respiratory activity of the live subjects within close proximity of the robot.

Abstract: A computer-implemented method for arranging communication between two or more users is provided. The two or more users including at least a first client and at least a first consultant. The first computing device is associated with the at least first client. The second computing device is associated with the at least first consultant. The method includes operations performed by at least one computer processor.

Abstract: The embodiments described herein relate generally to an elastography method and system for obtaining ultrasound images of an excited tissue over a certain time period, then computationally determining one or more mechanical properties of the tissue within a real time refresh rate. This method can perform elastography in real time as only a thin volume of the excited tissue is imaged and processed. The thin volume includes a desired cross-sectional plane of the tissue and at least two adjacent planes that are adjacent to the desired cross-sectional plane. A maximum number of adjacent planes is selected so that a computer system is capable of computationally determining mechanical properties within a real time refresh rate.

Abstract: A computer-implemented method for arranging communication between two or more users is provided. The two or more users including at least a first client and at least a first consultant. The first computing device is associated with the at least first client. The second computing device is associated with the at least first consultant. The method includes operations performed by at least one computer processor.

Abstract: A method of ultrasound imaging includes transmitting an ultrasound signal with an ultrasound transducer array. The method further includes receiving from the ultrasound transducer array electrical signals indicative of ultrasound echoes received by the ultrasound transducer array. The method further includes beamforming the electrical signals, which results in beamformed data. The method further includes processing the beamformed data, which generates an image. The image represents at least an anatomical vessel of interest. The method further includes processing the beamformed data, which generates flow direction data and flow magnitude data for blood cells flowing in a predetermined region of the anatomical vessel. The method further includes processing the flow direction data and the flow magnitude data, which creates a visualization of the flow direction data and the flow magnitude data for the entire predetermined region of the vessel.

Abstract: A system includes an imaging system configured to generate an image during an imaging procedure in an examination room and a computing system located remote from the examination room. The imaging system further includes a communication interface configured to transmit the image to the computing system. The computing system further includes a complimentary communication interface configured to receive the image and a processor configured to transmit a feedback signal, which is determined based on the image, to the imaging system. The imaging system receives the signal via the communication interface, and further includes a controller that sets at least one value of one from a group of: a scanning parameter, or a visualization parameter of the imaging system, based on the signal.

Abstract: A method includes constructing a variation image from an ovarian follicle B-mode ultrasound image, wherein the variation image is indicative of local variations in the ovarian follicle B-mode ultrasound image, constructing a binary image from the variation image and the ovarian follicle B-mode image, identifying connected components in the binary image, wherein each connected component corresponds to a different ovarian follicle candidate, constructing a coarse follicle mask from the binary image where each identified connected component represents a mask for a corresponding different ovarian follicle candidate in the binary image, optimizing contours of the follicles in the coarse follicle mask, and segmenting one or more ovarian follicles from the ovarian follicle B-mode ultrasound image with the optimized follicle mask.

Abstract: A method includes concurrently activating a worksheet region and a controls region concurrently present on the touch sensitive user interface. The method further includes receiving a signal indicating the at least one control of the controls region is selected through a touch on a touch sensitive area of the controls region corresponding to the control and controlling, in response to the signal, the at least one of the scanning by the ultrasound imager and the ultrasound imager parameter of the ultrasound imager while maintaining the activation of both the concurrently present worksheet and controls regions. The method further includes receiving a first input at an editable field of the digital worksheet form in the worksheet region and entering the first input into the editable field, which transforms and constructs an updated digital worksheet form while maintaining the activation of both the concurrently present worksheet and controls regions.

Abstract: A method includes constructing a variation image from an ovarian follicle B-mode ultrasound image, wherein the variation image is indicative of local variations in the ovarian follicle B-mode ultrasound image, constructing a binary image from the variation image and the ovarian follicle B-mode image, identifying connected components in the binary image, wherein each connected component corresponds to a different ovarian follicle candidate, constructing a coarse follicle mask from the binary image where each identified connected component represents a mask for a corresponding different ovarian follicle candidate in the binary image, optimizing contours of the follicles in the coarse follicle mask, and segmenting one or more ovarian follicles from the ovarian follicle B-mode ultrasound image with the optimized follicle mask.

Abstract: The embodiments described herein relate generally to an elastography method and system for obtaining ultrasound images of an excited tissue over a certain time period, then computationally determining one or more mechanical properties of the tissue within a real time refresh rate. This method can perform elastography in real time as only a thin volume of the excited tissue is imaged and processed. The thin volume includes a desired cross-sectional plane of the tissue and at least two adjacent planes that are adjacent to the desired cross-sectional plane. A maximum number of adjacent planes is selected so that a computer system is capable of computationally determining mechanical properties within a real time refresh rate.

Abstract: The characterization of tissue viscoelastic properties requires the measurement of tissue displacements over a region of interest at frequencies that exceed significantly the frame rates of conventional medical imaging devices. The present invention involves using bandpass sampling to track high-frequency tissue displacements. With this approach, high frequency signals limited to a frequency bandwidth can be sampled and reconstructed without aliasing at a sampling frequency that is lower than the Nyquist rate. With bandpass sampling, it is feasible to use conventional beam-forming on diagnostic ultrasound machines to perform high frequency dynamic elastography. The method is simple to implement as it does not require beam interleaving, additional hardware or synchronization and can be applied to magnetic resonance elastography.

Abstract: Described herein are a method and apparatus for determining viscoelastic parameters of a tissue. A vibration signal is applied to the tissue and displacements at a plurality of locations within the tissue are measured at a plurality of times. The viscoelastic parameters of the tissue, including elasticity and viscosity, can then be determined by fitting a finite element model of the tissue to the vibration signal and the measured displacements and by solving for the viscoelastic parameters of the model. A value for density of each element of the model is selected and the absolute values for the viscoelastic parameters of each of the elements in the model is determined. Alternatively, the difference in relaxation-times between two locations within the tissue can be determined from the difference in phases of the strains at the two locations.

Abstract: Described herein are a method and apparatus for determining viscoelastic parameters of a tissue. A vibration signal is applied to the tissue and displacements at a plurality of locations within the tissue are measured at a plurality of times. The viscoelastic parameters of the tissue, including elasticity and viscosity, can then be determined by fitting a finite element model of the tissue to the vibration signal and the measured displacements and by solving for the viscoelastic parameters of the model. A value for density of each element of the model is selected and the absolute values for the viscoelastic parameters of each of the elements in the model is determined. Alternatively, the difference in relaxation-times between two locations within the tissue can be determined from the difference in phases of the strains at the two locations.

Abstract: The characterization of tissue viscoelastic properties requires the measurement of tissue displacements over a region of interest at frequencies that exceed significantly the frame rates of conventional medical imaging devices. The present invention involves using bandpass sampling to track high-frequency tissue displacements. With this approach, high frequency signals limited to a frequency bandwidth can be sampled and reconstructed without aliasing at a sampling frequency that is lower than the Nyquist rate. With bandpass sampling, it is feasible to use conventional beam-forming on diagnostic ultrasound machines to perform high frequency dynamic elastography. The method is simple to implement as it does not require beam interleaving, additional hardware or synchronization and can be applied to magnetic resonance elastography.

Abstract: Described herein are a method and apparatus for determining viscoelastic parameters of a tissue. A vibration signal is applied to the tissue and displacements at a plurality of locations within the tissue are measured at a plurality of times. The viscoelastic parameters of the tissue, including elasticity and viscosity, can then be determined by fitting a finite element model of the tissue to the vibration signal and the measured displacements and by solving for the viscoelastic parameters of the model. A value for density of each element of the model is selected and the absolute values for the viscoelastic parameters of each of the elements in the model is determined. Alternatively, the difference in relaxation-times between two locations within the tissue can be determined from the difference in phases of the strains at the two locations.