Integration of advanced 3D SPECT modeling into the open-source STIR framework

Berta Marti Fuster; Carles Falcon; Charalampos Tsoumpas; Lefteris Livieratos; Pablo Aguiar; Albert Cot; Domenec Ros; Kris Thielemans

doi:10.1118/1.4816676

Integration of advanced 3D SPECT modeling into the open-source STIR framework

Berta Marti Fuster, Carles Falcon, Charalampos Tsoumpas, Lefteris Livieratos, Pablo Aguiar, Albert Cot, Domenec Ros, Kris Thielemans

Research output: Contribution to journal › Article › peer-review

27 Citations (Scopus)

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.

Original language	English
Article number	092502
Pages (from-to)	N/A
Number of pages	6
Journal	Medical Physics
Volume	40
Issue number	9
DOIs	https://doi.org/10.1118/1.4816676
Publication status	Published - Sept 2013

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Cite this

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title = "Integration of advanced 3D SPECT modeling into the open-source STIR framework",

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.",

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T1 - Integration of advanced 3D SPECT modeling into the open-source STIR framework

AU - Fuster, Berta Marti

AU - Falcon, Carles

AU - Tsoumpas, Charalampos

AU - Livieratos, Lefteris

AU - Aguiar, Pablo

AU - Cot, Albert

AU - Ros, Domenec

AU - Thielemans, Kris

PY - 2013/9

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AB - 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.

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Integration of advanced 3D SPECT modeling into the open-source STIR framework

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