Abstract:
A medical ultrasound diagnostic imaging system includes a delay system that applies a composite delay profile to signals to or from respective transducer elements. One composite delay profile includes a first, substantially point-focus delay profile for a first set of the transducer elements and a second, substantially point-focus delay profile for a second set of the transducer elements. The first and second delay profiles cause ultrasonic energy from the respective first and second sets of the transducer elements to constructively add at first and second respective spaced focal zones in either transmit or receive. Another composite delay profile includes first and second portions that substantially correspond to respective parts of a point-focus delay profile, and third and fourth portions that are intermediate the point-focus delay profile and respective tangents.
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:
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.
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:
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.