Marti Fuster, B;
Falcon, C;
Tsoumpas, C;
Livieratos, L;
Aguiar, P;
Cot, A;
Ros, D;
(2013)
Integration of advanced 3D SPECT modeling into the open-source STIR framework.
Medical Physics
, 40
(9)
, Article 092502. 10.1118/1.4816676.
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Abstract
Purpose: The Software for Tomographic Image Reconstruction (STIR,http://stir.sourceforge.net) package is an open source object-oriented library implemented in C++. Although its modular design is suitable for reconstructing data from several modalities, it currently only supports Positron Emission Tomography (PET) data. In this work, the authors present results for Single Photon Emission Computed Tomography (SPECT) imaging. / Methods: This was achieved by the complete integration of a 3D SPECT system matrix modeling library into STIR. / Results: The authors demonstrate the flexibility of the combined software by reconstructing simulated and acquired projections from three different scanners with different iterative algorithms of STIR. / Conclusions: The extension of the open source STIR project with advanced SPECT modeling will enable the research community to study the performance of several algorithms on SPECT data, and potentially implement new algorithms by expanding the existing framework.
Type: | Article |
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Title: | Integration of advanced 3D SPECT modeling into the open-source STIR framework |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1118/1.4816676 |
Publisher version: | http://dx.doi.org/10.1118/1.4816676 |
Language: | English |
Additional information: | This is the peer reviewed version of the following article: Marti Fuster, B; Falcon, C; Tsoumpas, C; Livieratos, L; Aguiar, P; Cot, A; Ros, D; (2013) Integration of advanced 3D SPECT modeling into the open-source STIR framework. Medical Physics, 40 (9), Article 092502, which has been published in final form at: http://dx.doi.org/10.1118/1.4816676. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Keywords: | science & technology, life sciences & biomedicine, radiology, nuclear medicine & medical imaging, radiology, nuclear medicine & medical imaging, spect, iterative reconstruction, Monte Carlo simulation, image-reconstruction, emission-tomography, maximum-likelihood, ordered subsets, algorithm, simulation |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
URI: | https://discovery-pp.ucl.ac.uk/id/eprint/1406395 |
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