Researchers from the University of Virginia Engineering School have developed a new method of signal processing that can be used with a broad range of imaging and sensing systems including ultrasound, RADAR, SONAR, telecommunications, and even a few optical imaging systems. This technique, callled Time-domain Optimized Near-field Estimator (TONE), is said to provide improved image resolution and contrast in medical ultrasounds by reducing the contribution of unwanted reflections and signals. A study evaluated a series of simulations using sample ultrasound data to test the performance of the TONE algorithm and compared it to conventional beam-forming strategies (CBF) used by current ultrasound scanners. Results from the imaging trials showed significant improvement. "The potential applications for this algorithm are almost infinite," said James H. Aylor, dean of University of Virginia's School of Engineering and Applied Science. "Not only can it be used in the medical community to benefit patients nationwide, but it will also have applications in the fields of radio astronomy, seismology and more."
Researchers at Beth Israel Deaconess Medical Center in Boston, U.S., have found an innovative way to use MRI to create images of fluid flow inside the body. David Alsop, a professor at Harvard Medical School and researcher at Beth Israel, has found a way to track nuclei movement within a fluid. The technique aligns atoms' nuclei with a powerful magnetic field and then zaps nuclei with a focused sequence of radio pulses. This distinguishes that particular sample of nuclei from other nuclei nearby. It's then possible to see how the nulcei move when the pulses are re-emitted, which can reveal important data such as the chemical composition of the surrounding environment. The researchers claim that the technique could be particularly useful for tracking the detailed pattern of blood flow within the brain.
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