Graphics processing unit-based quantitative second-harmonic generation imaging

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 p...

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Bibliographic Details
Published in:Journal of biomedical optics 2014-09, Vol.19 (9), p.096009-096009
Main Authors: Kabir, Mohammad Mahfuzul, Jonayat, ASM, Patel, Sanjay, Toussaint, Kimani C
Format: Article
Language:English
Subjects:
Animals
Biological
Biomedical materials
Breast - chemistry
Cervix Uteri - chemistry
Collagen - chemistry
Computer Graphics
Computing time
Dynamics
Female
Graphics processing units
Humans
Image Processing, Computer-Assisted - methods
Imaging
Microscopy, Video - methods
Nonlinear Dynamics
Nonlinearity
Rats
Surgical implants
Swine
Tendons - chemistry
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Description
Summary: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 ∼10× 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.
ISSN:1083-3668
1560-2281
DOI:10.1117/1.JBO.19.9.096009