Fuster, BM, Falcon, C, Tsoumpas, C orcid.org/0000-0002-4971-2477 et al. (5 more authors) (2013) Integration of advanced 3D SPECT modeling into the open-source STIR framework. Med Phys, 40 (9). 092502. ISSN 0094-2405
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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2013 American Association of Physicists in Medicine. This is an author produced version of a paper published in Medical Physics. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | SPECT, iterative reconstruction, Monte Carlo simulation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 10 Aug 2016 09:24 |
Last Modified: | 21 Jan 2018 03:30 |
Published Version: | http://dx.doi.org/10.1118/1.4816676 |
Status: | Published |
Publisher: | American Association of Physicists in Medicine |
Identification Number: | 10.1118/1.4816676 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:88658 |