Abstract:
Methods for processing ultrasound signals are provided. Processing of ultrasound signals comprises identifying qualified reconstruction channels in a receive aperture, grouping qualified reconstruction channels in the aperture, and preprocessing of selected echo signals using the grouped qualified reconstruction channels to produce reconstruction signals. Additional methodologies comprise comparing a number of channels in a receive aperture with a number of reconstruction channels to determine a number of reconstruction signals and grouping qualified channels in the receive aperture such that the number of reconstruction data signals is not less than the number of reconstruction channels. An ultrasound reconstruction unit comprising a receive aperture control engine configured to use selected echo signals to adaptively determine a set of reconstruction signals is also provided.
Abstract:
Aspects for measuring receiver mixer IQ mismatch in a transceiver are described. The measuring includes providing a training signal for a receiver mixer, the training signal having periodic, uncorrelated I and Q signals. A phase mismatch in the receiver mixer is determined from IQ correlation over a unit period. A gain mismatch in the receiver mixer is determined from a power estimate of both I and Q signal for the unit period.
Abstract:
An ultrasound reconstruction unit is provided. In one embodiment, a receive aperture control engine for the unit adaptively determines a set of reconstruction signals based on at least a series of selected echo signals and compares the size of a receive aperture with a predetermined number of reconstruction channels at each imaging point. The unit passes the selected echo signals from selected receive channels of one or more transducer elements to a reconstruction processor if the size of the receive aperture is not greater than the number of reconstruction channels. In another embodiment, the control engine compares the size of the receive aperture with a predetermined number of reconstruction channels at each imaging point and preprocess the selected echo signals to produce reconstructions signals that are equal in number to the number of reconstruction channels if the size of the receive aperture is greater than the number of reconstruction channels. The engine then outputs the reconstruction signals for further processing by a reconstruction processor.
Abstract:
An ultrasound scanner is equipped with one or more fuzzy control units that can perform adaptive system parameter optimization anywhere in the system. In one embodiment, an ultrasound system comprises a plurality of ultrasound image generating subsystems configured to generate an ultrasound image, the plurality of ultrasound image generating subsystems including a transmitter subsystem, a receiver subsystem, and an image processing subsystem; and a fuzzy logic controller communicatively coupled with at least one of the plurality of ultrasound imaging generating subsystems. The fuzzy logic controller is configured to receive, from at least one of the plurality of ultrasound imaging generating subsystems, input data including at least one of pixel image data and data for generating pixel image data; to process the input data using a set of inference rules to produce fuzzy output; and to convert the fuzzy output into numerical values or system states for controlling at least one of the transmit subsystem and the receiver subsystem that generate the pixel image data.
Abstract:
Disclosed herein is the iterative selection of an optimal high pass filter for progressive, ordered filtering of clutter from ultrasound color flow imaging data wherein a criterion for selecting the optimal high pass filter is if a mean frequency of filtered signal data is less than a clutter frequency threshold wherein if the mean frequency is less than the clutter frequency threshold is determined by whether an absolute value of an imaginary part of a first order autocorrelation of the filtered signal data is less than a constant times a real part of the autocorrelation, where the constant is determined by the clutter frequency threshold, wherein a high pass filter input for each iterative selection is the original ultrasound color flow imaging data.