22 research outputs found

    Clinical evaluation of Synthetic Aperture Sequential Beamforming and Tissue Harmonic Imaging

    Get PDF
    This study determines if the data reduction achieved by the combination Synthetic Aperture Sequential Beamforming (SASB) and Tissue Harmonic Imaging (THI) affects image quality. SASB-THI was evaluated against the combination of Dynamic Received Focusing and Tissue Harmonic Imaging (DRF-THI). A BK medical UltraView 800 ultrasound scanner equipped with a research interface and an abdominal 3.5 MHz 3.5CL192-3ML convex array transducer was used and connected to a stand alone PC. SASB-THI and DRF-THI scan sequences were recorded interleaved and processed offline. Nineteen patients diagnosed with focal liver pathology were scanned to set a clinical condition, where ultrasonography is often performed. A total of 114 sequences were recorded and evaluated by five radiologists. The evaluators were blinded to the imaging technique, and each sequence was shown twice with different left-right positioning, resulting in 1140 evaluations. The program Image Quality Assessment Program (IQap) and a Visual Analog Scale (VAS) were applied for the evaluation. The scale ranged from -50 to 50, where positive values favored SASB-THI. SASB-THI and DRF-THI were evaluated alike in 49% of the evaluations, 28% favored SASB-THI and 23% favored DRF-THI. The average rating was 0.70 (Cl: -0.80 to 2.19). The statistical analysis, where the hypothesis of no differences between the techniques was tested, yielded a p-value of p=0.64, indicating no preference to any technique. This study demonstrates that SASB-THI and DRF-THI have equally good image quality although a data reduction of 64 times is achieved with SASB-THI

    Interactive light and sound installation using artificial intelligence

    Get PDF
    This work aims at investigating the relationship between creation and fruition of art in interactive installations that exhibit intelligent responsiveness to participant input. A practice-based research led to the development of an interactive environment, in which the audience members are partners in constructing meanings and producing contents. The presented piece Which is your brass voice? employs artificial intelligence techniques to create unique multi-sensory experience for the audience. The artificial intelligence behind the artwork analyses the individual nuances of people's voices and creates a new music composition in real time on the base of its vast musical knowledge. User input is transformed into sound and coloured lights for further exploration of computer mediated aesthetic experiences. A brief description of the technical system is also included
    corecore