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STIR specifications


Unique identifier OMICS_14693
Alternative name Software for Tomographic Image Reconstruction
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++
License GNU General Public License version 2.0, GNU Lesser General Public License version 3.0
Computer skills Advanced
Stability Stable
Maintained Yes




No version available


  • person_outline Kris Thielemans

Publications for Software for Tomographic Image Reconstruction

STIR citations


PETSTEP: Generation of synthetic PET lesions for fast evaluation of segmentation methods

PMCID: 4888783
PMID: 26321409
DOI: 10.1016/j.ejmp.2015.07.139

[…] is consistent with the fact that idealized PETSTEP model uses data matched to the projectors and is therefore expected to converge with a smaller number of iterations than MC data reconstructed with STIR. This is a known effect when using “inverse crime” models. However, we additionally note that PETSTEP's convergence was similar to the Discovery 690 PET/CT system, which uses a model that is bett […]


Multi contrast attenuation map synthesis for PET/MR scanners: assessment on FDG and Florbetapir PET tracers

Eur J Nucl Med Mol Imaging
PMCID: 4502321
PMID: 26105119
DOI: 10.1007/s00259-015-3082-x

[…] orithm with 3 iterations of 21 subsets was used. Effects of PSF and randoms were not included and post-reconstruction smoothing was not applied. The simulation and reconstruction were performed using STIR []. […]


Region Based Partial Volume Correction Techniques for PET Imaging: Sinogram Implementation and Robustness

PMCID: 3877626
PMID: 24455241
DOI: 10.1155/2013/435959

[…] e 0.6 mm. A slice of the CT image is shown in . The PET FOV was 256 mm and a total of 18 frames were acquired each with acquisition time of 5 minutes. The acquired PET sinograms were reconstructed in STIR using 3D FBP as described in . The reconstructed PET voxel size was 2 × 2 × 3.15 mm3 in the x, y, and z directions, respectively. A slice of the PET image is shown in . The PET PSF was measured i […]


Automated analysis of small animal PET studies through deformable registration to an atlas

Eur J Nucl Med Mol Imaging
PMCID: 3464388
PMID: 22820650
DOI: 10.1007/s00259-012-2188-7

[…] B image reconstruction toolbox developed by Dr. Fessler. PET images of the simulated Moby model were reconstructed with attenuation correction using the Software for Tomographic Image Reconstruction (STIR) package [] by means of the ordered subsets version of Green’s maximum a posteriori (MAP) using the one-step late algorithm [] with 24 subsets, 25 sub-iterations and inter-update Metz filtering [ […]


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STIR institution(s)
Department of Physiological Sciences I - Biophysics and Bioengineering Unit, University of Barcelona, Barcelona, Spain; Grupo de Imagen Biomédica de la Universidad de Barcelona (GIB-UB), Biomedical Research Networking Center in Bioengineering, Biomaterials and Nanomedicine (CIBER-BBN), Barcelona, Spain; Medical Imaging Platform, August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Spain; Department of Biomedical Engineering, Division of Imaging Sciences and Biomedical Engineering, King’s College London, King’s Health Partners, St. Thomas’ Hospital, London, UK; Nuclear Medicine, Guy’s and St Thomas Hospitals NHS Foundation Trust, Great Maze Pond, London, UK; Grupo de Imagen Molecular e Oncoloxía, Fundación Ramón Domínguez, Instituto de Investigacións Sanitarias (IDIS), Santiago de Compostela, Spain; Algorithms and Software Consulting, London, UK; Institute of Nuclear Medicine, University College London, London, UK
STIR funding source(s)
Supported by Multimodal Imaging tools for Neurological Diseases (MIND-t) project of Biomedical Research Networking Center in Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Spanish Ministry of Science and Innovation (SAF2009-08076), Fondo de Investigaciones Sanitarias (PI12-00390), the UK National Institute for Health Research (NIHR) Biomedical Research Centre at Guy’s and St Thomas’ NHS Foundation Trust, King’s College London, University College London Hospital, and University College London.

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