The Ultimus 9E is equipped with VINNO’s revolutionary “MUSE” platform, the unique Tri-modal Imaging Acquisition (TIA). Its flexibility and powerful processing allow the system intelligently apply the most appropriate imaging acquisition mode from 3 modalities: Line acquisition, Zone acquisition and Multi-plane acquisition, to reconstruct the best imaging presentation.
Performed by multiple titled plane waves at imaging frame rates up to 20,000 per second, is averagely 300 times faster than conventional. This speed allows a full new range of applications and innovations in ultrasound imaging.
Built upon an enhanced Parallel Processing Chain, MUSE technology leverages the processing power of 2 GPUs combining with FPGA & CPU as a software-based beamforming Heterogeneous System Architecture (HSA), to enable full parallelization of image formation. Each insonification can therefore lead to a full image.
The innovative acquisition technique combines multiple plane wave transmit signals to excel the conventional transmit performance. This improves the signal-to-noise ratio by about 8 decibels and results in a significant noise reduced data without compromising the frame rate.
The received signals from the scan fields are time-shifted and compounded to pixel level of the entire scan field of view. This retrospective transmit field focus localization technique results in 20% more acoustic data acquired to form images with superior lateral border definition and contrast resolution than conventional compound imaging.
The weak signals from the far field are enhanced multiple times when the signals are combined, providing increased lateral resolution and contrast at the greater depths of field.
An advanced, highly sensitive contrast bubble imaging which enhances real time vessels visualization significantly based on ultra-fast frame rate and outstanding 2D performance/penetration.
By dynamically accumulating blood flow perfusion, MFP has greater sensitivity of minor signals, providing exceptional details throughout arterial, portal and late phase scanning.
Powered by Muse Platform, VShear* allows more sensitive tissue detection by capturing every shear wave motion details at ultrafast frame rates, which delivers great stability and accuracy during live scanning.
A real-time pulse wave calculation method, which can identify very tiny movements of the vessel wall with up to 20000 frame rate, thus helping evaluate the elastic state of the blood vessels with high accuracy and repeatability.
A technology that display two Doppler waveforms from separate sample gates during the same cardiac cycle, the combination of TDI and PW allows simultaneous evalua- tion of wall motion and hemodynamics, which enables faster and more accurate measurement of LV diastolic dysfunction and carotid stenosis etc. The optional modes include PW/PW,PW/TDI, TDI/TDI.
The unique adaptive signal processing technique, Tissue Boost automatically analyzes the echo signal in specific region of interest, to enhance the weak echo signals while suppressing the surrounding clutter noise, providing more imaging uniformity and improved visualization of tissues.
Utilizing the Doppler spectrum of blood flow, automatically calculate and evaluate the degree of arterial stiffness, provide a screening and monitoring solution for the growing population of carotid atherosclerosis, effectively monitor early atherosclero- sis, prevent sudden diseases such as stroke.
Endorsed by deep learning techniques, VAid Liver detects common focal and diffuse diseases of the liver in real-time, automatically provides the description and the size of the lesion. VAid Liver significantly improves the efficiency and diagnostic ability of doctors in primary care for early screening and detection of liver diseases.
VAid Thyroid provides an invasive and safe approach for detection and assessment of thyroid nodules to avoid unnecessary interventions. It performs the real-time analysis empowered by deep learning algorithm, which automatically detects and recognizes the single or multiple lesions during scanning, and displays the size, border characteristic and TI-RADS classification.
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