Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy
Purpose: Gamma cameras are one of the most promising technologies for in-vivo range monitoring in proton therapy. Monte Carlo (MC) simulation is a common calculation-based technique to design and optimize gamma cameras. However, it is prohibitively time-consuming. Analytical modeling speeds up the...
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| Format: | Article |
| Language: | English |
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Tehran University of Medical Sciences
2023-09-01
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| Series: | Frontiers in Biomedical Technologies |
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| Online Access: | https://fbt.tums.ac.ir/index.php/fbt/article/view/532 |
| _version_ | 1797658898603180032 |
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| author | Etesam Malekzadeh |
| author_facet | Etesam Malekzadeh |
| author_sort | Etesam Malekzadeh |
| collection | DOAJ |
| description |
Purpose: Gamma cameras are one of the most promising technologies for in-vivo range monitoring in proton therapy. Monte Carlo (MC) simulation is a common calculation-based technique to design and optimize gamma cameras. However, it is prohibitively time-consuming. Analytical modeling speeds up the process of finding the optimal design.
Materials and Methods: We proposed an analytical method using the efficiency-resolution trade-off for optimizing a knife-edge collimator based on the range retrieval precision of protons. Monte Carlo simulation was used for validation of obtained collimator efficiencies.
Results: The model predicts that for the optimal range retrieval precision, the ratio of the source-to-detector distance to the source-to-collimator distance should be ranging from . For a special case, it was found that assuming an ideal detector , the falloff retrieval precision is optimal at independent of the collimator resolution. Moreover, using the optimized camera, the difference between the MC calculated range and the absolute range was 0.5 cm (the relative error is about 3%).
Conclusion: It was found that the collimator parameters are in good agreement in comparison with that of the MC results reported in the literature. The analytical method studied in this work can be used to design and optimize imaging systems based on KE collimators in combination with new detectors in a fast and reliable way.
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| first_indexed | 2024-03-11T18:07:03Z |
| format | Article |
| id | doaj.art-4eebaa23a8be40c6a8b71ca8eac1d129 |
| institution | Directory Open Access Journal |
| issn | 2345-5837 |
| language | English |
| last_indexed | 2024-03-11T18:07:03Z |
| publishDate | 2023-09-01 |
| publisher | Tehran University of Medical Sciences |
| record_format | Article |
| series | Frontiers in Biomedical Technologies |
| spelling | doaj.art-4eebaa23a8be40c6a8b71ca8eac1d1292023-10-17T05:06:41ZengTehran University of Medical SciencesFrontiers in Biomedical Technologies2345-58372023-09-0110410.18502/fbt.v10i4.13725Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton TherapyEtesam Malekzadeh0Tarbiat Modares University Purpose: Gamma cameras are one of the most promising technologies for in-vivo range monitoring in proton therapy. Monte Carlo (MC) simulation is a common calculation-based technique to design and optimize gamma cameras. However, it is prohibitively time-consuming. Analytical modeling speeds up the process of finding the optimal design. Materials and Methods: We proposed an analytical method using the efficiency-resolution trade-off for optimizing a knife-edge collimator based on the range retrieval precision of protons. Monte Carlo simulation was used for validation of obtained collimator efficiencies. Results: The model predicts that for the optimal range retrieval precision, the ratio of the source-to-detector distance to the source-to-collimator distance should be ranging from . For a special case, it was found that assuming an ideal detector , the falloff retrieval precision is optimal at independent of the collimator resolution. Moreover, using the optimized camera, the difference between the MC calculated range and the absolute range was 0.5 cm (the relative error is about 3%). Conclusion: It was found that the collimator parameters are in good agreement in comparison with that of the MC results reported in the literature. The analytical method studied in this work can be used to design and optimize imaging systems based on KE collimators in combination with new detectors in a fast and reliable way. https://fbt.tums.ac.ir/index.php/fbt/article/view/532Monte CarloGamma CameraRange VerificationProton TherapyAnalytical Optimization |
| spellingShingle | Etesam Malekzadeh Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy Frontiers in Biomedical Technologies Monte Carlo Gamma Camera Range Verification Proton Therapy Analytical Optimization |
| title | Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy |
| title_full | Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy |
| title_fullStr | Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy |
| title_full_unstemmed | Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy |
| title_short | Developing an Analytical Model for Knife-Edge Slit Collimator Optimization for Prompt Gamma Imaging in Proton Therapy |
| title_sort | developing an analytical model for knife edge slit collimator optimization for prompt gamma imaging in proton therapy |
| topic | Monte Carlo Gamma Camera Range Verification Proton Therapy Analytical Optimization |
| url | https://fbt.tums.ac.ir/index.php/fbt/article/view/532 |
| work_keys_str_mv | AT etesammalekzadeh developingananalyticalmodelforknifeedgeslitcollimatoroptimizationforpromptgammaimaginginprotontherapy |