Evaluation of Origin Ensemble algorithm for image reconstruction for pixelated solid-state detectors with large number of channels

M. Kolstein, G. De Lorenzo, E. Mikhaylova, M. Chmeissani, G. Ariño, Y. Calderón, I. Ozsahin, D. Uzun

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

The Voxel Imaging PET (VIP) Pathfinder project intends to show the advantages of using pixelated solid-state technology for nuclear medicine applications. It proposes designs for Positron Emission Tomography (PET), Positron Emission Mammography (PEM) and Compton gamma camera detectors with a large number of signal channels (of the order of 106). For PET scanners, conventional algorithms like Filtered Back-Projection (FBP) and Ordered Subset Expectation Maximization (OSEM) are straightforward to use and give good results. However, FBP presents difficulties for detectors with limited angular coverage like PEM and Compton gamma cameras, whereas OSEM has an impractically large time and memory consumption for a Compton gamma camera with a large number of channels. In this article, the Origin Ensemble (OE) algorithm is evaluated as an alternative algorithm for image reconstruction. Monte Carlo simulations of the PET design are used to compare the performance of OE, FBP and OSEM in terms of the bias, variance and average mean squared error (MSE) image quality metrics. For the PEM and Compton camera designs, results obtained with OE are presented. © 2013 IOP Publishing Ltd and Sissa Medialab srl.
Original languageEnglish
Article numberP04030
JournalJournal of Instrumentation
Volume8
Issue number4
DOIs
Publication statusPublished - 1 Apr 2013

Keywords

  • Compton imaging
  • Computerized Tomography (CT) and Computed Radiography (CR)
  • Gamma camera, SPECT, PET PET/CT, coronary CT angiography (CTA)
  • Medical-image reconstruction methods and algorithms, computer-aided so

Fingerprint Dive into the research topics of 'Evaluation of Origin Ensemble algorithm for image reconstruction for pixelated solid-state detectors with large number of channels'. Together they form a unique fingerprint.

Cite this