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Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain
Whole brain tractography using diffusion tensor imaging (DTI) sequences can be used to map cerebral connectivity; however, this can be time-consuming due to the manual component of image manipulation required, calling for the need for a standardized, automated, and accurate fiber tracking protocol w...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cureus
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707174/ https://www.ncbi.nlm.nih.gov/pubmed/29201580 http://dx.doi.org/10.7759/cureus.1731 |
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author | Konakondla, Sanjay Brimley, Cameron J Sublett, Jesna Mathew Stefanowicz, Edward Flora, Sarah Mongelluzzo, Gino Schirmer, Clemens M |
author_facet | Konakondla, Sanjay Brimley, Cameron J Sublett, Jesna Mathew Stefanowicz, Edward Flora, Sarah Mongelluzzo, Gino Schirmer, Clemens M |
author_sort | Konakondla, Sanjay |
collection | PubMed |
description | Whole brain tractography using diffusion tensor imaging (DTI) sequences can be used to map cerebral connectivity; however, this can be time-consuming due to the manual component of image manipulation required, calling for the need for a standardized, automated, and accurate fiber tracking protocol with automatic whole brain tractography (AWBT). Interpreting conventional two-dimensional (2D) images, such as computed tomography (CT) and magnetic resonance imaging (MRI), as an intraoperative three-dimensional (3D) environment is a difficult task with recognized inter-operator variability. Three-dimensional printing in neurosurgery has gained significant traction in the past decade, and as software, equipment, and practices become more refined, trainee education, surgical skills, research endeavors, innovation, patient education, and outcomes via valued care is projected to improve. We describe a novel multimodality 3D superposition (MMTS) technique, which fuses multiple imaging sequences alongside cerebral tractography into one patient-specific 3D printed model. Inferences on cost and improved outcomes fueled by encouraging patient engagement are explored. |
format | Online Article Text |
id | pubmed-5707174 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cureus |
record_format | MEDLINE/PubMed |
spelling | pubmed-57071742017-11-30 Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain Konakondla, Sanjay Brimley, Cameron J Sublett, Jesna Mathew Stefanowicz, Edward Flora, Sarah Mongelluzzo, Gino Schirmer, Clemens M Cureus Quality Improvement Whole brain tractography using diffusion tensor imaging (DTI) sequences can be used to map cerebral connectivity; however, this can be time-consuming due to the manual component of image manipulation required, calling for the need for a standardized, automated, and accurate fiber tracking protocol with automatic whole brain tractography (AWBT). Interpreting conventional two-dimensional (2D) images, such as computed tomography (CT) and magnetic resonance imaging (MRI), as an intraoperative three-dimensional (3D) environment is a difficult task with recognized inter-operator variability. Three-dimensional printing in neurosurgery has gained significant traction in the past decade, and as software, equipment, and practices become more refined, trainee education, surgical skills, research endeavors, innovation, patient education, and outcomes via valued care is projected to improve. We describe a novel multimodality 3D superposition (MMTS) technique, which fuses multiple imaging sequences alongside cerebral tractography into one patient-specific 3D printed model. Inferences on cost and improved outcomes fueled by encouraging patient engagement are explored. Cureus 2017-09-29 /pmc/articles/PMC5707174/ /pubmed/29201580 http://dx.doi.org/10.7759/cureus.1731 Text en Copyright © 2017, Konakondla et al. http://creativecommons.org/licenses/by/3.0/ 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 author and source are credited. |
spellingShingle | Quality Improvement Konakondla, Sanjay Brimley, Cameron J Sublett, Jesna Mathew Stefanowicz, Edward Flora, Sarah Mongelluzzo, Gino Schirmer, Clemens M Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain |
title | Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain |
title_full | Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain |
title_fullStr | Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain |
title_full_unstemmed | Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain |
title_short | Multimodality 3D Superposition and Automated Whole Brain Tractography: Comprehensive Printing of the Functional Brain |
title_sort | multimodality 3d superposition and automated whole brain tractography: comprehensive printing of the functional brain |
topic | Quality Improvement |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5707174/ https://www.ncbi.nlm.nih.gov/pubmed/29201580 http://dx.doi.org/10.7759/cureus.1731 |
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