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Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans
OBJECTIVE: The aim of the present study was to design and evaluate two MeVisLab networks, one for co-registration of positron emission tomography/computed tomography (PET/CT) images and second for cropping the co-registered PET/CT images. MATERIALS AND METHODS: Two MeVisLab networks, one to co-regis...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037870/ https://www.ncbi.nlm.nih.gov/pubmed/35478680 http://dx.doi.org/10.4103/ijnm.ijnm_107_21 |
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author | Pandey, Anil Kumar Sharma, Akshima Kumar, Sunil Negi, Ashish Singh, Satnam Kumar, Sanjay Kumar, Rakesh |
author_facet | Pandey, Anil Kumar Sharma, Akshima Kumar, Sunil Negi, Ashish Singh, Satnam Kumar, Sanjay Kumar, Rakesh |
author_sort | Pandey, Anil Kumar |
collection | PubMed |
description | OBJECTIVE: The aim of the present study was to design and evaluate two MeVisLab networks, one for co-registration of positron emission tomography/computed tomography (PET/CT) images and second for cropping the co-registered PET/CT images. MATERIALS AND METHODS: Two MeVisLab networks, one to co-register and export PET/CT DICOM images and second for cropping the co-registered PET/CT images were designed using different modules of registration toolkit MERIT. One hundred and twenty-five PET/CT studies were exported from Siemens and GE scanners in DICOM format. These images were co-registered and cropped with our designed networks. The images co-registered with our network were compared visually with the co-registered images of same PET/CT studies on vendor provided workstations by an experienced nuclear medicine physician (NMP). The perfection of the cropping of co-registered images was also assessed visually. RESULTS: Visually, NMP found all 125 images co-registered using the network designed in our study similar to the co-registered images of vendor provided workstations. Furthermore, the cropping of all co-registered images was perfectly done by our network. CONCLUSION: Two MeVisLab networks designed and evaluated in the present study can be used for co-registration of PET/CT DICOM images and cropping the co-registered PET/CT images. |
format | Online Article Text |
id | pubmed-9037870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-90378702022-04-26 Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans Pandey, Anil Kumar Sharma, Akshima Kumar, Sunil Negi, Ashish Singh, Satnam Kumar, Sanjay Kumar, Rakesh Indian J Nucl Med Original Article OBJECTIVE: The aim of the present study was to design and evaluate two MeVisLab networks, one for co-registration of positron emission tomography/computed tomography (PET/CT) images and second for cropping the co-registered PET/CT images. MATERIALS AND METHODS: Two MeVisLab networks, one to co-register and export PET/CT DICOM images and second for cropping the co-registered PET/CT images were designed using different modules of registration toolkit MERIT. One hundred and twenty-five PET/CT studies were exported from Siemens and GE scanners in DICOM format. These images were co-registered and cropped with our designed networks. The images co-registered with our network were compared visually with the co-registered images of same PET/CT studies on vendor provided workstations by an experienced nuclear medicine physician (NMP). The perfection of the cropping of co-registered images was also assessed visually. RESULTS: Visually, NMP found all 125 images co-registered using the network designed in our study similar to the co-registered images of vendor provided workstations. Furthermore, the cropping of all co-registered images was perfectly done by our network. CONCLUSION: Two MeVisLab networks designed and evaluated in the present study can be used for co-registration of PET/CT DICOM images and cropping the co-registered PET/CT images. Wolters Kluwer - Medknow 2022 2022-03-25 /pmc/articles/PMC9037870/ /pubmed/35478680 http://dx.doi.org/10.4103/ijnm.ijnm_107_21 Text en Copyright: © 2022 Indian Journal of Nuclear Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Pandey, Anil Kumar Sharma, Akshima Kumar, Sunil Negi, Ashish Singh, Satnam Kumar, Sanjay Kumar, Rakesh Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans |
title | Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans |
title_full | Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans |
title_fullStr | Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans |
title_full_unstemmed | Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans |
title_short | Design and Evaluation of MeVisLab Networks for Co-Registration and Cropping of Positron Emission Tomography/Computed Tomography Scans |
title_sort | design and evaluation of mevislab networks for co-registration and cropping of positron emission tomography/computed tomography scans |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037870/ https://www.ncbi.nlm.nih.gov/pubmed/35478680 http://dx.doi.org/10.4103/ijnm.ijnm_107_21 |
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