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Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model

Numerical body models of children are used for designing medical devices, including but not limited to optical imaging, ultrasound, CT, EEG/MEG, and MRI. These models are used in many clinical and neuroscience research applications, such as radiation safety dosimetric studies and source localization...

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Autores principales: Jeong, Hongbae, Ntolkeras, Georgios, Alhilani, Michel, Atefi, Seyed Reza, Zöllei, Lilla, Fujimoto, Kyoko, Pourvaziri, Ali, Lev, Michael H., Grant, P. Ellen, Bonmassar, Giorgio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806143/
https://www.ncbi.nlm.nih.gov/pubmed/33439896
http://dx.doi.org/10.1371/journal.pone.0241682
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author Jeong, Hongbae
Ntolkeras, Georgios
Alhilani, Michel
Atefi, Seyed Reza
Zöllei, Lilla
Fujimoto, Kyoko
Pourvaziri, Ali
Lev, Michael H.
Grant, P. Ellen
Bonmassar, Giorgio
author_facet Jeong, Hongbae
Ntolkeras, Georgios
Alhilani, Michel
Atefi, Seyed Reza
Zöllei, Lilla
Fujimoto, Kyoko
Pourvaziri, Ali
Lev, Michael H.
Grant, P. Ellen
Bonmassar, Giorgio
author_sort Jeong, Hongbae
collection PubMed
description Numerical body models of children are used for designing medical devices, including but not limited to optical imaging, ultrasound, CT, EEG/MEG, and MRI. These models are used in many clinical and neuroscience research applications, such as radiation safety dosimetric studies and source localization. Although several such adult models have been reported, there are few reports of full-body pediatric models, and those described have several limitations. Some, for example, are either morphed from older children or do not have detailed segmentations. Here, we introduce a 29-month-old male whole-body native numerical model, “MARTIN”, that includes 28 head and 86 body tissue compartments, segmented directly from the high spatial resolution MRI and CT images. An advanced auto-segmentation tool was used for the deep-brain structures, whereas 3D Slicer was used to segment the non-brain structures and to refine the segmentation for all of the tissue compartments. Our MARTIN model was developed and validated using three separate approaches, through an iterative process, as follows. First, the calculated volumes, weights, and dimensions of selected structures were adjusted and confirmed to be within 6% of the literature values for the 2-3-year-old age-range. Second, all structural segmentations were adjusted and confirmed by two experienced, sub-specialty certified neuro-radiologists, also through an interactive process. Third, an additional validation was performed with a Bloch simulator to create synthetic MR image from our MARTIN model and compare the image contrast of the resulting synthetic image with that of the original MRI data; this resulted in a “structural resemblance” index of 0.97. Finally, we used our model to perform pilot MRI safety simulations of an Active Implantable Medical Device (AIMD) using a commercially available software platform (Sim4Life), incorporating the latest International Standards Organization guidelines. This model will be made available on the Athinoula A. Martinos Center for Biomedical Imaging website.
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spelling pubmed-78061432021-01-25 Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model Jeong, Hongbae Ntolkeras, Georgios Alhilani, Michel Atefi, Seyed Reza Zöllei, Lilla Fujimoto, Kyoko Pourvaziri, Ali Lev, Michael H. Grant, P. Ellen Bonmassar, Giorgio PLoS One Research Article Numerical body models of children are used for designing medical devices, including but not limited to optical imaging, ultrasound, CT, EEG/MEG, and MRI. These models are used in many clinical and neuroscience research applications, such as radiation safety dosimetric studies and source localization. Although several such adult models have been reported, there are few reports of full-body pediatric models, and those described have several limitations. Some, for example, are either morphed from older children or do not have detailed segmentations. Here, we introduce a 29-month-old male whole-body native numerical model, “MARTIN”, that includes 28 head and 86 body tissue compartments, segmented directly from the high spatial resolution MRI and CT images. An advanced auto-segmentation tool was used for the deep-brain structures, whereas 3D Slicer was used to segment the non-brain structures and to refine the segmentation for all of the tissue compartments. Our MARTIN model was developed and validated using three separate approaches, through an iterative process, as follows. First, the calculated volumes, weights, and dimensions of selected structures were adjusted and confirmed to be within 6% of the literature values for the 2-3-year-old age-range. Second, all structural segmentations were adjusted and confirmed by two experienced, sub-specialty certified neuro-radiologists, also through an interactive process. Third, an additional validation was performed with a Bloch simulator to create synthetic MR image from our MARTIN model and compare the image contrast of the resulting synthetic image with that of the original MRI data; this resulted in a “structural resemblance” index of 0.97. Finally, we used our model to perform pilot MRI safety simulations of an Active Implantable Medical Device (AIMD) using a commercially available software platform (Sim4Life), incorporating the latest International Standards Organization guidelines. This model will be made available on the Athinoula A. Martinos Center for Biomedical Imaging website. Public Library of Science 2021-01-13 /pmc/articles/PMC7806143/ /pubmed/33439896 http://dx.doi.org/10.1371/journal.pone.0241682 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Jeong, Hongbae
Ntolkeras, Georgios
Alhilani, Michel
Atefi, Seyed Reza
Zöllei, Lilla
Fujimoto, Kyoko
Pourvaziri, Ali
Lev, Michael H.
Grant, P. Ellen
Bonmassar, Giorgio
Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model
title Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model
title_full Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model
title_fullStr Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model
title_full_unstemmed Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model
title_short Development, validation, and pilot MRI safety study of a high-resolution, open source, whole body pediatric numerical simulation model
title_sort development, validation, and pilot mri safety study of a high-resolution, open source, whole body pediatric numerical simulation model
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7806143/
https://www.ncbi.nlm.nih.gov/pubmed/33439896
http://dx.doi.org/10.1371/journal.pone.0241682
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