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Updated: May 8, 2026
10:04
Sample Drift Correction Following 4D Confocal Time-lapse Imaging
Published on: April 12, 2014
Integration of advanced 3D SPECT modeling into the open-source STIR framework.
Berta Marti Fuster1, Carles Falcon, Charalampos Tsoumpas
1Department of Physiological Sciences I - Biophysics and Bioengineering Unit, University of Barcelona, Casanova 143, 08036 Barcelona, Spain.
Medical Physics
|September 7, 2013
Summary
The open-source Software for Tomographic Image Reconstruction (STIR) now supports Single Photon Emission Computed Tomography (SPECT) imaging. This advancement allows researchers to reconstruct SPECT data using various iterative algorithms within the STIR framework.
Area of Science:
- Medical Imaging
- Computational Science
Background:
- The Software for Tomographic Image Reconstruction (STIR) is an open-source C++ library designed for tomographic image reconstruction.
- STIR currently supports Positron Emission Tomography (PET) data, limiting its application in other modalities.
Purpose of the Study:
- To extend the STIR package to support Single Photon Emission Computed Tomography (SPECT) imaging.
- To demonstrate the capability of STIR for SPECT data reconstruction.
Main Methods:
- Integration of a 3D SPECT system matrix modeling library into the existing STIR framework.
- Utilizing STIR's modular design and object-oriented structure for SPECT data processing.
Main Results:
- Successful reconstruction of simulated and acquired SPECT projections from three different scanners.
- Demonstration of STIR's flexibility with various iterative reconstruction algorithms for SPECT data.
Conclusions:
- The enhanced STIR package enables the research community to study SPECT imaging algorithm performance.
- The extended framework facilitates the implementation and testing of new algorithms for SPECT reconstruction.
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