NDLI: 3-D GPU based real time Diffuse Optical Tomographic system

Content Provider	IEEE Xplore Digital Library
Author	Saikia, M.J. Rajan, K. Vasu, R.M.
Copyright Year	2014
Description	Author affiliation: Dept. of Phys., Indian Inst. of Sci., Bangalore, India (Saikia, M.J.; Rajan, K.) \|\| Dept. of Instrum., Indian Inst. of Sci., Bangalore, India (Vasu, R.M.)
Abstract	3-Dimensional Diffuse Optical Tomographic (3-D DOT) image reconstruction algorithm is computationally complex and requires excessive matrix computations and thus hampers reconstruction in real time. In this paper, we present near real time 3D DOT image reconstruction that is based on Broyden approach for updating Jacobian matrix. The Broyden method simplifies the algorithm by avoiding re-computation of the Jacobian matrix in each iteration. We have developed CPU and heterogeneous CPU/GPU code for 3D DOT image reconstruction in C and MatLab programming platform. We have used Compute Unified Device Architecture (CUDA) programming framework and CUDA linear algebra library (CULA) to utilize the massively parallel computational power of GPUs (NVIDIA Tesla K20c). The computation time achieved for C program based implementation for a CPU/GPU system for 3 planes measurement and FEM mesh size of 19172 tetrahedral elements is 806 milliseconds for an iteration.
Sponsorship	IEEE India Counc. C Chapt.
Starting Page	1099
Ending Page	1103
File Size	1484908
Page Count	5
File Format	PDF
e-ISBN	9781479925728
DOI	10.1109/IAdCC.2014.6779479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-02-21
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Biomedical optical imaging Graphics processing units 3-D DOT Optical imaging MATLAB GPU Image reconstruction Jacobian matrices CUDA US Department of Transportation CULA Jacobian update Diffusion Equation
Content Type	Text
Resource Type	Article

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