NDLI: Stochastic Discrete Reconstruction (SDR) for Nuclear Medicine Tomographic Systems

Content Provider	IEEE Xplore Digital Library
Author	Sitek, A. Celler, A.M. Gullberg, G.T.
Copyright Year	2006
Description	Author affiliation: Brigham & Women's Hosp., Boston, MA (Sitek, A.)
Abstract	To address the challenge posted by novel tomographic systems we have designed a stochastic reconstruction method. Our algorithm considers every event separately, therefore the method is ideally suited and designed for reconstruction of data from imaging systems with a large number of line of responses (LORs) that usually yield up to only one event per LORs. SDR is also entirely compatible with reconstruction of unusual geometries such as for time of flight positron emission tomography (TOF-PET) or Compton aperture imaging. The main idea behind the SDR is to find in the reconstruction area the origin of each of the detected events. In every iteration of the algorithm, the possible origin of each event is changed stochastically according to some predefined transition probability. The reconstruction is considered completed when the system reaches equilibrium. Then, the activity in each voxel is estimated by the current number of events in the voxel normalized by the sensitivity of the system. This approach does not require either projection or backprojection operations as would be the case for standard iterative algorithms. We tested the performance of the new method using 2D computer simulations of standard tomographic parallel geometry. For the reconstructions with a high level of noise, the bias and variance obtained by the SDR reconstructions was in the range of 5-10% which was comparable to the results obtained by maximum likelihood expectation maximization (ML-EM).
Starting Page	2892
Ending Page	2894
File Size	3076950
Page Count	3
File Format	PDF
ISBN	1424405602
ISSN	10957863
DOI	10.1109/NSSMIC.2006.356481
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-29
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic systems Nuclear medicine Image reconstruction Reconstruction algorithms Algorithm design and analysis Geometry Positron emission tomography Apertures Event detection Iterative algorithms
Content Type	Text
Resource Type	Article

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