NDLI: GPU accelerated statistical image reconstruction for Compton cameras

Content Provider	IEEE Xplore Digital Library
Author	Van-Giang Nguyen Soo-Jin Lee Mi No Lee
Copyright Year	2009
Description	Author affiliation: Department of Electronic Engineering, Paichai University, Daejeon, Korea (Van-Giang Nguyen; Soo-Jin Lee; Mi No Lee)
Abstract	We propose GPU (graphics processing unit) accelerated methods that can dramatically improve the computational performance of statistical image reconstruction algorithms for Compton cameras. Since the conventional ray-based backprojection method is inefficient for GPU, we develop a fully voxel-based backprojection method which can maximize the performance of GPU. In this method, the cone surface is sampled by the evenly distributed rays originated from the vertex of the cone. The intersecting chord length of the ray passing through a voxel is then approximated by the normal distance from the center of the voxel to the ray. Although this approximation can cause an error in backprojection, according to our simulation results, it does not noticeably affect the reconstruction. Our experimental phantom studies with the RAMLA (row-action maximum likelihood algorithm), which is a relaxed version of the OS-EM (ordered subsets expectation maximization) algorithm, indicate that the GPU-based method is roughly 50 times faster in computation time per iteration than the CPU-based method. According to our experimental results, for an acceptable 64×64×64 image reconstructed by RAMLA with 64 subsets and 8 iterations, the CPU-based method takes about 2.3 hours, whereas the GPU-based method takes only 2.7 minutes.
Starting Page	3550
Ending Page	3555
File Size	389204
Page Count	6
File Format	PDF
ISBN	9781424439614
ISSN	10957863
DOI	10.1109/NSSMIC.2009.5401814
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-10-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Acceleration Image reconstruction Cameras Computer graphics Electromagnetic scattering Particle scattering Surface reconstruction Statistical analysis Power engineering and energy Telephony
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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