作者
Nirvedh H Meshram, Tomy Varghese
发表日期
2018/5/28
期刊
IEEE transactions on ultrasonics, ferroelectrics, and frequency control
卷号
65
期号
8
页码范围
1370-1379
出版商
IEEE
简介
A multilevel Lagrangian carotid strain imaging algorithm is analyzed to identify computational bottlenecks for implementation on a graphics processing unit (GPU). Displacement tracking including regularization was found to be the most computationally expensive aspect of this strain imaging algorithm taking about 2.2 h for an entire cardiac cycle. This intensive displacement tracking was essential to obtain Lagrangian strain tensors. However, most of the computational techniques used for displacement tracking are parallelizable, and hence GPU implementation is expected to be beneficial. A new scheme for subsample displacement estimation referred to as a multilevel global peak finder was also developed since the Nelder-Mead simplex optimization technique used in the CPU implementation was not suitable for GPU implementation. GPU optimizations to minimize thread divergence and utilization of shared and …
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NH Meshram, T Varghese - IEEE transactions on ultrasonics, ferroelectrics, and …, 2018