Koninklijke Philips Corporation N.v.

University of Washington

Unmin Bae

Vijay Thakur Shamdasani

Francois Guy Gerard Marie Vignon

Yongmin Kim

Sheng-Wen Huang

Jun Seob Shin

David Hope Simpson

Changhong Hu

James Robertson Jago

Neil R Owen

Douglas Maxwell

Xiaowen Hu

Systems and methods for reducing speckle while maintaining frame rate are disclosed. Multiple sub-images associated with different receive angles are acquired for a single transmit/receive event at an observation angle. The sub-images are compounded to generate a final image with reduced speckle. In some examples, multiple sub-images from multiple transmit/receive events are compounded to generate the final image. The observation angle and/or the receive angles may vary between transmit/receive events in some examples.

Methods and systems for speckle reduction in ultrasound images by compounding sub-images associated with different receive angles

Systems, devices, and methods for ultrasonic imaging by sparse sampling are provided. In one embodiment, an ultrasound imaging system comprises an array of ultrasound transducer elements, electronic circuitry in communication with the array of ultrasound transducer elements and configured to select a first receive aperture of the array comprising a plurality of contiguous ultrasound transducer elements and at least one non-contiguous ultrasound transducer element, and a beamformer in communication with the electronic circuitry. Each ultrasound transducer element of the first receive aperture is configured to receive reflected ultrasound echoes and generate an electrical signal representative of imaging data. The beamformer is configured to receive the electrical signals generated by the first receive aperture and apply different weight to the electrical signals generated by the contiguous ultrasound transducer elements and the electrical signal generated by the at least one non-contiguous ultrasound transducer element.

Ultrasonic imaging by sparse sampling and associated devices, systems, and methods

An ultrasonic diagnostic imaging system acquires different kinds of pilot images showing different characteristics of a region of a body where shearwave measurements are performed. The pilot images are analyzed by a push pulse locator to adaptively generate push pulses at locations in the body which minimize or avoid shearwave travel through blood vessels, through regions of stiffness inhomogeneities in the body, or at times when shearwaves are adversely affected by tissue motion.

Ultrasonic shearwave imaging with patient-adaptive shearwave generation

A method and system of strain gain compensation in elasticity imaging is provided. The system can include a probe () for transmitting ultrasonic energy into a physiology () of a patient () and receiving echoes, a display device (), and a processor () operably coupled to the probe and the display device. The processor can process ultrasound imaging data associated with an applied stress of the physiology of the patient. The processor can generate a strain compensation function associated with the applied stress based on at least one of (i) user inputs based on expected results associated with a portion of the physiology, (ii) a strain compensation model generated prior to processing the ultrasound imaging data, and (iii) at least a portion of the imaging data. The processor can apply the strain compensation function to the imaging data to generate a compensated strain image. The processor can present on the display device at least one of the compensated strain image and an inverse of the compensated strain image. Other embodiments are disclosed.

Method and system of strain gain compensation in elasticity imaging

An in vivo source of compression is used to cause a bodily structure of interest to expand and contract. Ultrasound signals are incident and their echoes are processed by a strain processor. Resulting strain images are freed from noise caused by external sources of compression. A tissue stiffness index is calculated to obtain quantitative measure of stiffness.

Ultrasonic estimation of strain induced by in vivo compression

Strain is directly estimated in ultrasound elasticity imaging without computing displacement or resorting to spectral analysis. Conventional ultrasound elasticity imaging relies on calculating displacement and strain is computed from a derivative of the displacement. However, for typical parameter values used in ultrasound elasticity imaging, the displacement can be as large as a hundred times or displacement differences. If a tiny error in the calculation of displacement occurs, this could drastically affect the calculation of strain. By directly estimating strain, image quality is enhanced and the reduction in computational effort facilitates commercialization to aid in diagnosing disease or cancerous conditions.

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Seattle, WA, United States of America

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