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Integration of advanced 3D SPECT modelling for pinhole collimators into the open-source STIR framework.
- Source :
- Frontiers in Nuclear Medicine; 2024, p1-12, 12p
- Publication Year :
- 2024
-
Abstract
- Single-photon emission computed tomography (SPECT) systems with pinhole collimators are becoming increasingly important in clinical and preclinical nuclear medicine investigations as they can provide a superior resolution-sensitivity tradeoff compared to conventional parallel-hole and fanbeam collimators. Previously, open-source software did not exist for reconstructing tomographic images from pinhole-SPECT datasets. A 3D SPECT system matrix modelling library specific for pinhole collimators has recently been integrated into STIR, an open-source software package for tomographic image reconstruction. The pinhole-SPECT library enables corrections for attenuation and the spatially variant collimator-detector response by incorporating their effects into the system matrix. Attenuation correction can be calculated with a simple single line of response or a full model. The spatially variant collimator-detector response can be modelled with a point spread function and depth of interaction corrections for increased system matrix accuracy. In addition, improvements to computational speed and memory requirements can be made with image masking. This work demonstrates the flexibility and accuracy of STIR's support for pinhole-SPECT datasets using measured and simulated single-pinhole SPECT data from which reconstructed images were analysed quantitatively and qualitatively. The extension of the opensource STIR project with advanced pinhole-SPECT modelling will enable the research community to study the impact of pinhole collimators in several SPECT imaging scenarios and with different scanners. [ABSTRACT FROM AUTHOR]
- Subjects :
- COMPUTER simulation
THREE-dimensional imaging
SINGLE-photon emission computed tomography
COMPUTER software
DATABASE management
NOISE
QUALITATIVE research
DIAGNOSTIC imaging
RESEARCH funding
RESEARCH evaluation
COST analysis
COMPUTER storage devices
COMPUTED tomography
QUANTITATIVE research
IN vivo studies
DESCRIPTIVE statistics
RADIOISOTOPES
MAXIMUM likelihood statistics
MICE
NUCLEAR medicine
COMPUTER-aided diagnosis
ANIMAL experimentation
IMAGING phantoms
DIGITAL image processing
ALGORITHMS
TIME
Subjects
Details
- Language :
- English
- ISSN :
- 26738880
- Database :
- Complementary Index
- Journal :
- Frontiers in Nuclear Medicine
- Publication Type :
- Academic Journal
- Accession number :
- 180399436
- Full Text :
- https://doi.org/10.3389/fnume.2023.1134774