Fast blood flow visualization of high-resolution laser speckle imaging data using graphics processing unit.
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[1] Pat Hanrahan,et al. Brook for GPUs: stream computing on graphics hardware , 2004, SIGGRAPH 2004.
[2] Ross T. Whitaker,et al. A Streaming Narrow-Band Algorithm: Interactive Computation and Visualization of Level Sets , 2004, IEEE Trans. Vis. Comput. Graph..
[3] Haiying Cheng,et al. Simplified laser-speckle-imaging analysis method and its application to retinal blood flow imaging. , 2007, Optics letters.
[4] Bernard Choi,et al. Impact of velocity distribution assumption on simplified laser speckle imaging equation. , 2008, Optics express.
[5] Simon Portegies Zwart,et al. High-performance direct gravitational N-body simulations on graphics processing units , 2007, astro-ph/0702058.
[6] Rüdiger Westermann,et al. Linear algebra operators for GPU implementation of numerical algorithms , 2003, SIGGRAPH Courses.
[7] Naga K. Govindaraju,et al. A Survey of General‐Purpose Computation on Graphics Hardware , 2007 .
[8] M. Moskowitz,et al. Dynamic Imaging of Cerebral Blood Flow Using Laser Speckle , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[9] Klaus Schulten,et al. Accelerating Molecular Modeling Applications with GPU Computing , 2009 .
[10] Song Zhang,et al. GPU-assisted high-resolution, real-time 3-D shape measurement. , 2006, Optics express.
[11] J D Briers,et al. Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow. , 1996, Journal of biomedical optics.
[12] F.J. Beekman,et al. Evaluation of accelerated iterative X-ray CT image reconstruction using floating point graphics hardware , 2004, IEEE Symposium Conference Record Nuclear Science 2004..