Abstract:
Embodiments of the present invention provide an ultrasound scanner equipped with an image data processing unit that can perform adaptive parameter optimization during image formation and processing. In one embodiment, an ultrasound system comprises a channel data memory to store channel data obtained by digitizing ultrasound image data produced by an image scan; an image data processor configured to process the stored channel data in the memory to reconstruct an ultrasound image for each of a plurality of trial values of at least one parameter to be optimized; and a parameter optimization unit configured to evaluate an image quality of the reconstructed ultrasound image for each trial value of the at least one parameter, and to determine the optimized value of the at least one parameter based on the evaluated image quality.
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:
A system and method for ultrasound clutter filtering is provided. A processor is configured to iteratively select an optimal high pass filter for the progressive, ordered filtering of clutter from ultrasound color flow imaging data. The high pass filter input for each iterative selection and ordered set of high pass filters is the same original ultrasound color flow imaging data. The high pass filters have different cutoff frequencies whereby each high pass filter can be implemented using different structures. The system and method allow for filtering of clutter from ultrasound color flow imaging data until the clutter is substantially removed.
Abstract:
An adaptive clutter filtering for ultrasound color flow imaging is provided including an iterative algorithm that is used to select the best clutter filter for each packet of color flow data. If significant clutter motion is present, a high pass filter cutoff frequency is automatically set to suppress the clutter and associated flash artifacts. The cutoff frequency is chosen according to the frequency of the clutter—the lower the clutter frequency, the lower the cutoff frequency can be. If clutter frequencies are low, lower filter cutoffs allow for maximum low flow detection. In this manner, the filter cutoff frequency can be optimized based on the data for each pixel in the color flow image.
Abstract:
A pulse echo beamforming system generates high spatial bandwidth ultrasound images using only a few transmit/receive events per frame. Each transmit/receive event consists of firing an unfocused or weakly focused wave and receiving and storing the echo on every receive channel. Each set of stored echoes is delayed and apodized to form component beams for each desired image point in the region insonified by that particular wave. The final images are synthesized by adding two or more of the component beams for each image point.
Abstract:
An ultrasonic imaging system and method provide a composite image having a near-field region and a far-field region that are displayed in a common imaging mode. The near-field region emphasizes received ultrasonic imaging at a harmonic of the fundamental of the transmit waveform, while the far-field region emphasizes received ultrasonic information at the fundamental frequency. In this way the advantages of harmonic imaging are obtained in the near-field without sacrificing penetration performance in the far-field.
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:
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.