Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations
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| Main Authors: | , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866909445207883776 |
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| author | Polson, Lucas Esquinas, Pedro Kurkowska, Sara Li, Chenguang Sheikhzadeh, Peyman Abbassi, Mehrshad Farzanehfar, Saeed Mirabedian, Seyyede Uribe, Carlos Rahmim, Arman |
| author_facet | Polson, Lucas Esquinas, Pedro Kurkowska, Sara Li, Chenguang Sheikhzadeh, Peyman Abbassi, Mehrshad Farzanehfar, Saeed Mirabedian, Seyyede Uribe, Carlos Rahmim, Arman |
| contents | Modeling of the collimator-detector response (CDR) in 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_03100 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations Polson, Lucas Esquinas, Pedro Kurkowska, Sara Li, Chenguang Sheikhzadeh, Peyman Abbassi, Mehrshad Farzanehfar, Saeed Mirabedian, Seyyede Uribe, Carlos Rahmim, Arman Medical Physics Modeling of the collimator-detector response (CDR) in 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. |
| title | Computationally Efficient Collimator-Detector Response Compensation in High Energy SPECT using 1D Convolutions and Rotations |
| topic | Medical Physics |
| url | https://arxiv.org/abs/2409.03100 |