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:
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:
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:
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:
The front-end gain of a medical diagnostic ultrasonic imaging system receiver is adaptively set by acquiring receive samples that vary in range, generating a gain function that varies in range as a function of envelope amplitude of the receive samples, and then controlling the front-end gain with the gain function. In this way, front-end gain is set in accordance with the currently prevailing imaging conditions, and front-end gain that is excessively high or low is avoided. Transmitter gain is adaptively set to limit or prevent front-end gain saturation of the receiver.
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.
Abstract:
A multifocus ultrasonic imaging system transmits two or more successive multifocus beams in order to increase the number of separate focal zones along a given scan line. The operating conditions for different transmit foci are controlled in a multifocus transmit event in order to optimize the operating conditions for each transmit focus and to reduce the unwanted transmit foci interference. In one example, two consecutive multifocus transmit events are transmitted and the transmit focal zones of the first and second transmit events are interleaved in range, thereby increasing the separation between transmit focal zones within a single transmit event.
Abstract:
An ultrasonic imaging method includes activating a transmit aperture within a multi-element transducer array, transmitting one or more ultrasonic beams along scan direction(s) that span the region of interest, for each transmit event, receiving ultrasound echoes from each element of a receive aperture, grouping the receive channel echo data into two or more sets corresponding to different receive sub-apertures, combining each sub-aperture data set to generate partially focused echo-location data for one or more reconstruction lines, and storing all the sub-aperture echo data sets during a storage period in a format that can be retrieved for later analysis. A method includes, during a post-storage period, retrieving stored sub-aperture data, combining the sub-aperture data to form one or more selected reconstruction lines, processing echo data to extract motion information from one or more sample positions along the selected reconstruction lines, and displaying an image representative of the processed motion information.
Abstract:
In one embodiment, an ultrasound imaging method comprises: providing a probe that includes one or more transducer elements for transmitting and receiving ultrasound waves; generating a sequence of spatially distinct transmit beams which differ in one or more of origin and angle; determining a transmit beam spacing substantially based upon a combination of actual and desired transmit beam characteristics, thereby achieving a faster echo acquisition rate compared to a transmit beam spacing based upon round-trip transmit-receive beam sampling requirements; storing coherent receive echo data, from two or more transmit beams of the spatially distinct transmit beams; combining coherent receive echo data from at least two or more transmit beams to achieve a substantially spatially invariant synthesized transmit focus at each echo location; and combining coherent receive echo data from each transmit firing to achieve dynamic receive focusing at each echo location.