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Graphics processing unit-based quantitative second-harmonic generation imaging
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DOI：10.1117/1.JBO.19.9.096009.png)
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Abstract
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We adapt a graphics processing unit (GPU) to dynamic quantitative second-harmonic generation imaging. We demonstrate the temporal advantage of the GPU-based approach by computing the number of frames analyzed per second from SHG image videos showing varying fiber orientations. In comparison to our previously reported CPU-based approach, our GPU-based image analysis results in similar to 10x improvement in computational time. This work can be adapted to other quantitative, nonlinear imaging techniques and provides a significant step toward obtaining quantitative information from fast in vivo biological processes. c 2014 Society of Photo-Optical Instrumentation Engineers (SPIE)
Keywords:
second-harmonic generation
image analysis
graphics processing unit
quantitative imaging
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