Massively parallel data processing for quantitative total flow imaging with optical coherence microscopy and tomography
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https://elsevier.digitalcommonsdata.com/datasets/32kwbxyvj9
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Abstract
We present an application of massively parallel processing of quantitative flow measurements data acquired using spectral optical coherence microscopy (SOCM). The need for massive signal processing of these particular datasets has been a major hurdle for many applications based on SOCM. In view of this difficulty, we implemented and adapted quantitative total flow estimation algorithms on graphics processing units (GPU) and achieved a 150 fold reduction in processing time when compared to a f...
Title of program: CudaOCMproc
Catalogue Id: AFBT_v1_0
Nature of problem
Speed up of data processing in optical coherence microscopy
Versions of this program held in the CPC repository in Mendeley Data
AFBT_v1_0; CudaOCMproc; 10.1016/j.cpc.2017.03.008
This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
创建时间：
2019-11-11
