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Title: 3-D maximum a posteriori estimation for single photon emission computed tomography on massively-parallel computers

Journal Article · · IEEE Transactions on Medical Imaging (Institute of Electrical and Electronics Engineers); (United States)
DOI:https://doi.org/10.1109/42.241884· OSTI ID:5641328
;  [1]
  1. Washington Univ., St. Louis, MO (United States)

Since the introduction by Shepp and Vardi of the expectation-maximization (EM) algorithm for generating maximum likelihood (ML) and maximum a posteriori (MAP) estimates in emission tomography, there have been many investigators applying the ML method. However, almost all of the previous work has been restricted to 2-dimensional reconstructions. The major focus and contribution of this paper is to demonstrate a fully 3-dimensional implementation of the MAP method for single photon emission computed tomography (SPECT). The 3-dimensional reconstruction exhibits a major increase in resolution when compared to the generation of the series of separate 2-dimensional slice reconstructions. As has been noted, the iterative EM algorithm for 2-dimensional reconstruction is highly computational; the 3-dimensional algorithm is far worse. To accommodate the computational complexity, the authors have extended their previous work in the 2-dimensional arena [2]--[4] and demonstrate an implementation on the class of massively parallel processors of the 3-dimensional algorithm. Using a 16,000 (4,000) processor MasPar/DECmpp-Sx machine, the algorithm is demonstrated to execute at 2.5 (7.8) sec/EM-iteration for the entire 64 x 64 x 64 cube of 96 planar measurements obtained from the Siemens Orbiter rotating camera operating in the high resolution mode.

OSTI ID:
5641328
Journal Information:
IEEE Transactions on Medical Imaging (Institute of Electrical and Electronics Engineers); (United States), Vol. 12:3; ISSN 0278-0062
Country of Publication:
United States
Language:
English