Posters, Symposia, etc., School of Biomedical Engineering and Sciences

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https://hdl.handle.net/10919/56516

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Browsing Posters, Symposia, etc., School of Biomedical Engineering and Sciences by Subject "Algorithms"

Now showing 1 - 3 of 3
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    Fast CT Reconstruction - Practical Performance via Parallelization
    Wang, Ge (2008-06-12)
    Parallel computing has been used to solve large-scale problems in many fields. While CT is being developed towards high-resolution, volumetric, dynamic and spectral imaging, datasets become increasingly large, and reconstruction speeds are often too slow. To meet this challenge, in 2004 Drs. Wang and Ni co-found a High performance Computing Lab, and have been working in this area ever since. In 2006, we designed and implemented the first parallel Katsevich algorithm. We have also parallelized EM, OS-EM, SART and OS-SART algorithms, respectively.
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    How to Define the Next Generation Cardiac CT Architecture? - a Contemporary Challenge for Interdisciplinary Collaboration
    Yu, Hengyong; DeMan, Bruno; Carr, Jeff; Frontera, Mark; Zeng, Kai; Bennett, James; Fitzgerald, Paul; Iatrou, Maria; Shen, Haiou; Santago, Peter; Wang, Ge (2010-05-21)
    Cardiovascular diseases are pervasive with high mortality and morbidity at tremendous social and healthcare costs. There are urgent needs for significantly higher fidelity cardiac CT with substantially lower radiation dose, which is currently not possible because of technical limitations. Although cardiac CT technology has improved significantly from 16 to 320 detector rows and from single to dual source, there remain technical challenges in terms of temporal resolution, spatial resolution, radiation dose, and so on. Based on an ideal academic-industrial partnership between Virginia Tech and the GE Global Research Center (GEGR), we are motivated to advance the state-of-the-art in cardiac CT. The overall goal of this project is to develop novel cardiac CT architectures and the associated reconstruction algorithms, and define the next-generation cardiac CT system. The specific aims are to (1) design, analyze and compare novel cardiac CT architectures with novel sources and scanning trajectories; (2) develop analytic and iterative cardiac CT reconstruction algorithms for ROI-oriented scanning and dynamic imaging for the proposed cardiac CT architectures; and (3) evaluate and validate the proposed architectures and algorithms in theoretical studies, numerical simulations, phantom experiments and observer studies. On completion of this project, we will have singled out the most promising cardiac CT architectures and algorithms to achieve 16cm coverage, 50ms temporal resolution, 20lp/cm spatial resolution, 10HU noise level, and 1mSv effective dose simultaneously for the entire examination, with detailed specifications and performance evaluation, setting the stage for prototyping a next-generation cardiac CT system in a Phase-II project. This project will enable significantly better diagnostic performance and bring major therapeutic benefits that affect over 60 million Americans.
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    Spiral CT of the Temporal Bone
    Wang, Ge; Skinner, Margaret W.; Vannier, Michael W. (2010-11-01)
    Maximum image resolution with commercial spiral CT scanners is inadequate to define clearly the anatomical features and electrode positions within this intricate, 3D space. The objective of this research was to develop theory, algorithms and equipment to increase spiral CT image resolution for temporal bone imaging, especially in cochlear implantation. Summary: Spiral CT with overlapping reconstruction allows better 3D resolution than conventional CT, and is important for temporal bone imaging • Spiral CT image deblurring achieves a 40% resolution gain without significant noise and ringing artifacts • Implant unwrapping measures the array insertion length with 0.3 mm mean accuracy, and facilitates electrode localization • Sub-mm scanning improves high-contrast resolution and suppresses stair-step artifacts. However, 0.5 mm collimation introduced more than doubled image noise