Zonare Medical Systems, Inc.

Acuson Corporation

Shenzhen Mindray Bio-medical Electronics Co., Ltd.

Zonaire Medical Systems, Inc.

Ching-Hua Chou

Ting-Lan Ji

Larry Y L Mo

Glen W McLaughlin

David J Napolitano

Brian Derek DeBusschere

Robert W Steins

Kutay F Ustuner

Albert Gee

John Alexander Hossack

Wenkang Qi

Charles E Bradley

Mirsaid Seyed Bolorforosh

Lewis J Thomas

Feng Yin

Scott Franklin Smith

Robert Stanson

Kathy S Jedrzejewicz

Thomas Jedrzejewicz

Kurt Sandstrom

Bhaskar S Ramamurthy

James W Arenson

Patrick J Phillips

Arvind Jain

John S Wang

Glen W McLanghlin

Sungrung Huang

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.

System and method for providing variable ultrasound array processing in a post-storage mode

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.

Aberration correction using channel data in ultrasound imaging system

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.

Continuous transmit focusing method and apparatus for ultrasound imaging system

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.

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.

Ultrasound imaging system parameter optimization via fuzzy logic

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.

Ultrasound reconstruction unit

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.

Ultrasound image reconstruction with receive aperture control

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.

Ultrasound clutter filtering with iterative high pass filter selection

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.

Adaptive receive aperture for ultrasound image reconstruction

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&mdash;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.

System and method for adaptive clutter filtering in ultrasound color flow imaging

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Mountain View, CA, United States of America

Ching-Hua Chou