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Computationally Efficient Collimator-Detector Response Compensation in High Energy Spect Using 1D Convolutions and Rotations Publisher Pubmed



Polson LA1, 2 ; Esquinas P3 ; Kurkowska S2, 4 ; Li C1, 2 ; Sheikhzadeh P5 ; Abbassi M5 ; Farzanehfar S5 ; Mirabedian S5 ; Uribe C2, 3, 6 ; Rahmim A1, 2, 6
Authors
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Authors Affiliations
  1. 1. Department of Physics & Astronomy, University of British Columbia, Vancouver, Canada
  2. 2. Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, Canada
  3. 3. Molecular Imaging and Therapy Department, BC Cancer, Vancouver, Canada
  4. 4. Department of Nuclear Medicine, Pomeranian Medical University, Szczecin, Poland
  5. 5. Nuclear Medicine Department, IKHC, Faculty of Medicine, Tehran University of Medical Science, Tehran, Iran
  6. 6. Department of Radiology, University of British Columbia, Vancouver, Canada

Source: Physics in Medicine and Biology Published:2025


Abstract

Objective. Modeling of the collimator-detector response (CDR) in single photon emission computed tomography (SPECT) reconstruction enables improved resolution and accuracy, and is thus important for quantitative imaging applications such as dosimetry. The implementation of CDR modeling, however, can become a computational bottleneck when there are substantial components of septal penetration and scatter in the acquired data, since a direct convolution-based approach requires large 2D kernels. This work proposes a 1D convolution and rotation-based CDR model that reduces reconstruction times but maintains consistency with models that employ 2D convolutions. To enable open-source development and use of these models in image reconstruction, we release a SPECTPSFToolbox repository for the PyTomography project on GitHub. Approach. A 1D/rotation-based CDR model was formulated and subsequently fit to Monte Carlo (MC) point source data representative of 177Lu, 131I, and 225Ac imaging. Computation times of (i) the proposed 1D/rotation-based model and (ii) a traditional model that uses 2D convolutions were compared for typical SPECT matrix sizes. Both CDR models were then used in the reconstruction of MC, physical phantom, and patient data; the models were compared by quantifying total counts in hot regions of interest (ROIs) and activity contrast between hot ROIs and background regions. Results. For typical matrix sizes in SPECT reconstruction, application of the 1D/rotation-based model provides a two-fold computational speed-up over the 2D model when running on GPU. Only small differences between the 1D/rotation-based and 2D models (order of 1%) were obtained for count and contrast quantification in select ROIs. Significance. A technique for CDR modeling in SPECT was proposed that (i) significantly speeds up reconstruction times, and (ii) yields nearly identical reconstructions to traditional 2D convolution based CDR techniques. The released toolbox will permit open-source development of similar models for different isotopes and collimators. © 2025 The Author(s). Published on behalf of Institute of Physics and Engineering in Medicine by IOP Publishing Ltd.