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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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PET image reconstruction using the Origin Ensemble algorithm and geometric constraints

Moritz Schaar
  • Corresponding author
  • Institute of Medical Engineering, University of Lübeck, Ratzeburger Allee 160, 23562 Lübeck, Germany
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/ Thorsten M. Buzug / Magdalena Rafecas
Published Online: 2017-09-07 | DOI: https://doi.org/10.1515/cdbme-2017-0115

Abstract

The Origin Ensemble method allows image reconstruction of photon-limited emission tomography data to be performed entirely in the image domain. This offers attractive perspectives such as including scatter events for image reconstruction in Positron Emission Tomography. In this work, the probability of single Compton scatter along a line-of-response is estimated by the Single Scatter Simulation algorithm; for every event a decision is made whether this event is reconstructed along a line or an area confined by two circular arcs holding potential scatter points. First results of 2D simulations show visual agreement with the reference and locally increased contrast recovery coefficient values.

Keywords: positron emission tomography; scatter correction; single scatter simulation; origin ensemble; maximum likelihood expectation maximization

About the article

Published Online: 2017-09-07


Citation Information: Current Directions in Biomedical Engineering, Volume 3, Issue 2, Pages 549–553, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2017-0115.

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©2017 Moritz Schaar et al., published by De Gruyter. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. BY-NC-ND 4.0

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