An apparatus and method for estimating and imaging mechanical properties of biological tissues. The apparatus includes one or two ultrasound emitting devices (...
An apparatus and method for estimating and imaging mechanical properties of biological tissues. The apparatus includes one or two ultrasound emitting devices (transducers) that first apply an acoustic radiation force to vibrationally displace a sphere embedded in the medium. Alternatively, a biopsy needle may be inserted into the medium and vibrated along its axis to generate shear waves. During and after vibration, ultrasound is again applied to image shear waves in the medium that propogate from the vibrating sphere or needle. By measuring the local wavelength of the shear waves, the shear modulus and viscous coefficient of the medium surrounding the vibrating element are estimated.
Prof. Oelze from the University of Illinois has developed a novel technique of processing ultrasound images which will improve the spatial resolution by a factor...
Prof. Oelze from the University of Illinois has developed a novel technique of processing ultrasound images which will improve the spatial resolution by a factor of 6.9 (at least) over the diffraction limited approaches. It will also provide significant noise reduction.
Dr. Pengfei Song from the University of Illinois and his collaborators at the Texas A&M University developed a novel high volume-rate 3D ultrasound imaging method and a device based on Fast...
Dr. Pengfei Song from the University of Illinois and his collaborators at the Texas A&M University developed a novel high volume-rate 3D ultrasound imaging method and a device based on Fast Acoustic Steering via Tilting Electromechanical Reflectors (FASTER). This technology addresses challenges of conventional 3D ultrasound imaging like high cost and low volume scan rate. FASTER is capable of high volume rate (up to 500 Hz) large field-of-view 3D imaging with conventional 1D transducers.
Dr. Pengfei Song has developed methods of real-time SR-UMI. Current SR-UMI requires hours of data post-processing, making it impractical for clinical, diagnostic...
Dr. Pengfei Song has developed methods of real-time SR-UMI. Current SR-UMI requires hours of data post-processing, making it impractical for clinical, diagnostic applications. Implementing advances in deep learning and parallel computing, Dr. Song's team was able to realize real-time microbubble signal extraction, separation, localization, tracking, and quantitative analysis and display. This technology has a wide range of clinical applications including but not limited to the diagnosis and characterization of many disorders including cancer, cardiovascular disease, and neurological diseases.
