GPU-Based Elasticity Imaging Algorithms
نویسندگان
چکیده
Quasi-static elastography involves estimating the displacement field of the tissue undergoing slow compression. Since elastography is computationally expensive, many compromises have been made to perform it in real time. Parallelized algorithms and implementations for freehand palpation elastography are proposed in this paper to speed the computation. We present parallel implementations for Normalized cross correlation elastography algorithm and for Dynamic programming elastography algorithm. Both methods are implemented in CUDA using Graphics Processing Unit (GPU). We are able to achieve above 300 images per second for NCC and around 30 images per second for DP elastography algorithm.
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