NDLI: High performance single and multi-GPU acceleration for Diffuse Optical Tomography

Content Provider	IEEE Xplore Digital Library
Author	Saikia, Manob Jyoti Kanhirodan, Rajan
Copyright Year	2014
Description	Author affiliation: Department of Physics, Indian Institute of Science, Bangalore, India 560012 (Saikia, Manob Jyoti; Kanhirodan, Rajan)
Abstract	Diffuse Optical Tomography (DOT) is a diagnostic imaging modality, where optical parameters such as absorption and scattering coefficient distributions inside the living tissue are recovered to understand the structural and functional variations in the tissue under study. The numerical method of DOT image reconstruction is an iterative process that demands high computational power, especially in the case of recovering fully three dimensional (3D) optical property distribution inside a complex geometry such as human head which hampers physician to view reconstructed images and monitor a patient in real time. In order to reconstruct 3D DOT images at a high speed, Broyden method based iterative image reconstruction algorithm and a parallelization strategy are employed in CUDA parallel computing platform to utilize tremendous computational power of GPU. Three different single GPU systems equipped with Nvidia Tesla C2070, Tesla k20c and Tesla k40 respectively, and a muti-GPU (two Tesla M2090 GPUs) in a computing node in a HPC cluster are used to evaluate computation performance due to algorithmic improvement and GPU parallel computation. We have used three dimensional finite element method (FEM) and discretized an infant head into 45702 tetrahedral elements and 8703 nodes to solve the forward and inverse problems. We have achieved a significant speedup for the 3D DOT image reconstruction of the head phantom.
Starting Page	1320
Ending Page	1323
File Size	4663572
Page Count	4
File Format	PDF
ISBN	9781479966295
DOI	10.1109/IC3I.2014.7019809
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-27
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Optical imaging GPU Image reconstruction 3D DOT Jacobian matrices CUDA Three-dimensional displays Multi-GPU US Department of Transportation CULA Jacobian update High-speed optical techniques Diffusion Equation
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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