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: 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.

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: 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: A method for adaptively determining reconstruction signals in an ultrasound system comprises determining a size of a receive aperture, comparing the size of receive aperture at each imaging point with a predetermined number of reconstruction channels, if the size of the receive aperture is not greater than the number of reconstruction channels, processing received echo signals for the receive aperture to produce an ultrasonic image, and if the size of the receive aperture is greater than the number of reconstruction channels, preprocessing the received echo signals to produce reconstruction signals, the number of reconstruction signals being equal to the number of reconstruction channels. The reconstruction signals are further processed to produce an ultrasonic image. In one embodiment, the receive aperture is a function of location of an imaging point in a medium under investigation.

Abstract: A system and method for adaptive clutter filtering in 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: 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 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: 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: 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: 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: 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 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: An ultrasound system and method are provided for improving resolution and operation. The system applies different imaging parameters within and outside a region of interest in an ultrasound image to improve spatial and/or temporal resolution inside a region of interest. The system also increases an apparent frame rate within a region of interest in an ultrasound-image frame by generating a motion-compensated interpolated image based on measured motion. The ultrasound imaging system also performs a method for automatically adjusting ultrasound imaging parameters in at least a portion of an ultrasound image in response to transducer or image motion to improve spatial or temporal resolution. With the measured motion, the system can also alter an operating mode of an ultrasound transducer array in response to an absence of transducer motion. Further, the system corrects distortion in an acquired ultrasound image caused by transducer or image motion.