Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera
Abstract Purpose Monte Carlo (MC) simulation in Nuclear Medicine is a powerful tool for modeling many physical phenomena which are difficult to track or measure directly. MC simulation in SPECT/CT imaging is particularly suitable for optimizing the quantification of activity in a patient, and, conse...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-04-01
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| Series: | EJNMMI Physics |
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| Online Access: | https://doi.org/10.1186/s40658-023-00547-6 |
| _version_ | 1797849872848650240 |
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| author | Giovanni Di Domenico Simona Di Biaso Lorenzo Longo Alessandro Turra Eugenia Tonini MariaConcetta Longo Licia Uccelli Mirco Bartolomei |
| author_facet | Giovanni Di Domenico Simona Di Biaso Lorenzo Longo Alessandro Turra Eugenia Tonini MariaConcetta Longo Licia Uccelli Mirco Bartolomei |
| author_sort | Giovanni Di Domenico |
| collection | DOAJ |
| description | Abstract Purpose Monte Carlo (MC) simulation in Nuclear Medicine is a powerful tool for modeling many physical phenomena which are difficult to track or measure directly. MC simulation in SPECT/CT imaging is particularly suitable for optimizing the quantification of activity in a patient, and, consequently, the absorbed dose to each organ. To do so, validating MC results with real data acquired with gamma camera is mandatory. The aim of this study was the validation of the calibration factor (CF) and the recovery coefficient (RC) obtained with SIMIND Monte Carlo code for modeling a Siemens Symbia Intevo Excel SPECT-CT gamma camera to ensure optimal $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu SPECT quantification. Methods Phantom experiments using $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu have been performed to measure spatial resolution and sensitivity, as well as to evaluate the CF and RC from acquired data. The geometries used for 2D planar imaging were (1) Petri dish and (2) capillary source while for 3D volumetric imaging were (3) a uniform filled cylinder phantom and (4) a Jaszczack phantom with spheres of different volumes. The experimental results have been compared with the results obtained from Monte Carlo simulations performed in the same geometries. Results Comparison shows good accordance between simulated and experimental data. The measured planar spatial resolution was 8.3 $$\pm 0.8$$ ± 0.8 mm for $$^{99m}$$ 99 m Tc and 11.8±0.6 mm for $$^{177}$$ 177 Lu. The corresponding data obtained by SIMIND for $$^{99m}$$ 99 m Tc was 7.8±0.1 mm, while for $$^{177}$$ 177 Lu was 12.4±0.4 mm. The CF was 110.1±5.5 cps/MBq for Technetium and 18.3±1.0 cps/MBq for Lutetium. The corresponding CF obtained by SIMIND for $$^{99m}$$ 99 m Tc was 107.3±0.3 cps/MBq, while for $$^{177}$$ 177 Lu 20.4±0.7 cps/MBq. Moreover, a complete curve RCs vs Volume (ml) both for Technetium and Lutetium was determined to correct the PVE for all volumes of clinical interest. In none of the cases, a RC coefficient equal to 100 was found. Conclusions The validation of quantification parameters shows that SIMIND can be used for simulating both gamma camera planar and SPECT images of Siemens Symbia Intevo using $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu radionuclides for different medical purposes and treatments. |
| first_indexed | 2024-04-09T18:52:16Z |
| format | Article |
| id | doaj.art-f788c4ab26674b2ea458a8363883c637 |
| institution | Directory Open Access Journal |
| issn | 2197-7364 |
| language | English |
| last_indexed | 2024-04-09T18:52:16Z |
| publishDate | 2023-04-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EJNMMI Physics |
| spelling | doaj.art-f788c4ab26674b2ea458a8363883c6372023-04-09T11:27:15ZengSpringerOpenEJNMMI Physics2197-73642023-04-0110111810.1186/s40658-023-00547-6Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma cameraGiovanni Di Domenico0Simona Di Biaso1Lorenzo Longo2Alessandro Turra3Eugenia Tonini4MariaConcetta Longo5Licia Uccelli6Mirco Bartolomei7Department of Physics and Earth Science, University of FerraraDepartment of Physics and Earth Science, University of FerraraDepartment of Physics and Earth Science, University of FerraraMedical Physics Unit, University HospitalMedical Physics Unit, University HospitalSan Bortolo HospitalNuclear Medicine Unit, University HospitalNuclear Medicine Unit, University HospitalAbstract Purpose Monte Carlo (MC) simulation in Nuclear Medicine is a powerful tool for modeling many physical phenomena which are difficult to track or measure directly. MC simulation in SPECT/CT imaging is particularly suitable for optimizing the quantification of activity in a patient, and, consequently, the absorbed dose to each organ. To do so, validating MC results with real data acquired with gamma camera is mandatory. The aim of this study was the validation of the calibration factor (CF) and the recovery coefficient (RC) obtained with SIMIND Monte Carlo code for modeling a Siemens Symbia Intevo Excel SPECT-CT gamma camera to ensure optimal $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu SPECT quantification. Methods Phantom experiments using $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu have been performed to measure spatial resolution and sensitivity, as well as to evaluate the CF and RC from acquired data. The geometries used for 2D planar imaging were (1) Petri dish and (2) capillary source while for 3D volumetric imaging were (3) a uniform filled cylinder phantom and (4) a Jaszczack phantom with spheres of different volumes. The experimental results have been compared with the results obtained from Monte Carlo simulations performed in the same geometries. Results Comparison shows good accordance between simulated and experimental data. The measured planar spatial resolution was 8.3 $$\pm 0.8$$ ± 0.8 mm for $$^{99m}$$ 99 m Tc and 11.8±0.6 mm for $$^{177}$$ 177 Lu. The corresponding data obtained by SIMIND for $$^{99m}$$ 99 m Tc was 7.8±0.1 mm, while for $$^{177}$$ 177 Lu was 12.4±0.4 mm. The CF was 110.1±5.5 cps/MBq for Technetium and 18.3±1.0 cps/MBq for Lutetium. The corresponding CF obtained by SIMIND for $$^{99m}$$ 99 m Tc was 107.3±0.3 cps/MBq, while for $$^{177}$$ 177 Lu 20.4±0.7 cps/MBq. Moreover, a complete curve RCs vs Volume (ml) both for Technetium and Lutetium was determined to correct the PVE for all volumes of clinical interest. In none of the cases, a RC coefficient equal to 100 was found. Conclusions The validation of quantification parameters shows that SIMIND can be used for simulating both gamma camera planar and SPECT images of Siemens Symbia Intevo using $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu radionuclides for different medical purposes and treatments.https://doi.org/10.1186/s40658-023-00547-6Quantitative imagingMolecular radiotherapySIMIND Monte Carlo codeQuantitative activity estimation |
| spellingShingle | Giovanni Di Domenico Simona Di Biaso Lorenzo Longo Alessandro Turra Eugenia Tonini MariaConcetta Longo Licia Uccelli Mirco Bartolomei Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera EJNMMI Physics Quantitative imaging Molecular radiotherapy SIMIND Monte Carlo code Quantitative activity estimation |
| title | Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera |
| title_full | Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera |
| title_fullStr | Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera |
| title_full_unstemmed | Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera |
| title_short | Validation of $$^{99m}$$ 99 m Tc and $$^{177}$$ 177 Lu quantification parameters for a Monte Carlo modelled gamma camera |
| title_sort | validation of 99m 99 m tc and 177 177 lu quantification parameters for a monte carlo modelled gamma camera |
| topic | Quantitative imaging Molecular radiotherapy SIMIND Monte Carlo code Quantitative activity estimation |
| url | https://doi.org/10.1186/s40658-023-00547-6 |
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