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Validation of automated image co-registration integrated into in-house software for voxel-based internal dosimetry on single-photon emission computed tomography images
OBJECTIVE: To develop an automated co-registration system and test its performance, with and without a fiducial marker, on single-photon emission computed tomography (SPECT) images. MATERIALS AND METHODS: Three SPECT/CT scans were acquired for each rotation of a Jaszczak phantom (to 0°, 5°, and 10°...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411763/ https://www.ncbi.nlm.nih.gov/pubmed/37564075 http://dx.doi.org/10.1590/0100-3984.2022.0096 |
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author | Leitão, André Luiz Alberti Fonda, Uysha de Souza Buchpiguel, Carlos Alberto Willegaignon, José Sapienza, Marcelo Tatit |
author_facet | Leitão, André Luiz Alberti Fonda, Uysha de Souza Buchpiguel, Carlos Alberto Willegaignon, José Sapienza, Marcelo Tatit |
author_sort | Leitão, André Luiz Alberti |
collection | PubMed |
description | OBJECTIVE: To develop an automated co-registration system and test its performance, with and without a fiducial marker, on single-photon emission computed tomography (SPECT) images. MATERIALS AND METHODS: Three SPECT/CT scans were acquired for each rotation of a Jaszczak phantom (to 0°, 5°, and 10° in relation to the bed axis), with and without a fiducial marker. Two rigid co-registration software packages-SPM12 and NMDose-coreg-were employed, and the percent root mean square error (%RMSE) was calculated in order to assess the quality of the co-registrations. Uniformity, contrast, and resolution were measured before and after co-registration. The NMDose-coreg software was employed to calculate the renal doses in 12 patients treated with (177)Lu-DOTATATE, and we compared those with the values obtained with the Organ Level INternal Dose Assessment for EXponential Modeling (OLINDA/EXM) software. RESULTS: The use of a fiducial marker had no significant effect on the quality of co-registration on SPECT images, as measured by %RMSE (p = 0.40). After co-registration, uniformity, contrast, and resolution did not differ between the images acquired with fiducial markers and those acquired without. Preliminary clinical application showed mean total processing times of 9 ± 3 min/patient for NMDose-coreg and 64 ± 10 min/patient for OLINDA/EXM, with a strong correlation between the two, despite the lower renal doses obtained with NMDose-coreg. CONCLUSION: The use of NMDose-coreg allows fast co-registration of SPECT images, with no loss of uniformity, contrast, or resolution. The use of a fiducial marker does not appear to increase the accuracy of co-registration on phantoms. |
format | Online Article Text |
id | pubmed-10411763 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem |
record_format | MEDLINE/PubMed |
spelling | pubmed-104117632023-08-10 Validation of automated image co-registration integrated into in-house software for voxel-based internal dosimetry on single-photon emission computed tomography images Leitão, André Luiz Alberti Fonda, Uysha de Souza Buchpiguel, Carlos Alberto Willegaignon, José Sapienza, Marcelo Tatit Radiol Bras Original Article OBJECTIVE: To develop an automated co-registration system and test its performance, with and without a fiducial marker, on single-photon emission computed tomography (SPECT) images. MATERIALS AND METHODS: Three SPECT/CT scans were acquired for each rotation of a Jaszczak phantom (to 0°, 5°, and 10° in relation to the bed axis), with and without a fiducial marker. Two rigid co-registration software packages-SPM12 and NMDose-coreg-were employed, and the percent root mean square error (%RMSE) was calculated in order to assess the quality of the co-registrations. Uniformity, contrast, and resolution were measured before and after co-registration. The NMDose-coreg software was employed to calculate the renal doses in 12 patients treated with (177)Lu-DOTATATE, and we compared those with the values obtained with the Organ Level INternal Dose Assessment for EXponential Modeling (OLINDA/EXM) software. RESULTS: The use of a fiducial marker had no significant effect on the quality of co-registration on SPECT images, as measured by %RMSE (p = 0.40). After co-registration, uniformity, contrast, and resolution did not differ between the images acquired with fiducial markers and those acquired without. Preliminary clinical application showed mean total processing times of 9 ± 3 min/patient for NMDose-coreg and 64 ± 10 min/patient for OLINDA/EXM, with a strong correlation between the two, despite the lower renal doses obtained with NMDose-coreg. CONCLUSION: The use of NMDose-coreg allows fast co-registration of SPECT images, with no loss of uniformity, contrast, or resolution. The use of a fiducial marker does not appear to increase the accuracy of co-registration on phantoms. Publicação do Colégio Brasileiro de Radiologia e Diagnóstico por Imagem 2023 /pmc/articles/PMC10411763/ /pubmed/37564075 http://dx.doi.org/10.1590/0100-3984.2022.0096 Text en https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Leitão, André Luiz Alberti Fonda, Uysha de Souza Buchpiguel, Carlos Alberto Willegaignon, José Sapienza, Marcelo Tatit Validation of automated image co-registration integrated into in-house software for voxel-based internal dosimetry on single-photon emission computed tomography images |
title | Validation of automated image co-registration integrated into
in-house software for voxel-based internal dosimetry on single-photon emission
computed tomography images |
title_full | Validation of automated image co-registration integrated into
in-house software for voxel-based internal dosimetry on single-photon emission
computed tomography images |
title_fullStr | Validation of automated image co-registration integrated into
in-house software for voxel-based internal dosimetry on single-photon emission
computed tomography images |
title_full_unstemmed | Validation of automated image co-registration integrated into
in-house software for voxel-based internal dosimetry on single-photon emission
computed tomography images |
title_short | Validation of automated image co-registration integrated into
in-house software for voxel-based internal dosimetry on single-photon emission
computed tomography images |
title_sort | validation of automated image co-registration integrated into
in-house software for voxel-based internal dosimetry on single-photon emission
computed tomography images |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411763/ https://www.ncbi.nlm.nih.gov/pubmed/37564075 http://dx.doi.org/10.1590/0100-3984.2022.0096 |
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