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Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation
PURPOSE: The neuroimaging research community—which includes a broad range of scientific, medical, statistical, and engineering disciplines—has developed many tools to advance our knowledge of brain structure, function, development, aging, and disease. Past research efforts have clearly shaped clinic...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883338/ https://www.ncbi.nlm.nih.gov/pubmed/36070033 http://dx.doi.org/10.1007/s11548-022-02736-7 |
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author | Beare, Richard Alexander, Bonnie Warren, Aaron Kean, Michael Seal, Marc Wray, Alison Maixner, Wirginia Yang, Joseph Yuan-Mou |
author_facet | Beare, Richard Alexander, Bonnie Warren, Aaron Kean, Michael Seal, Marc Wray, Alison Maixner, Wirginia Yang, Joseph Yuan-Mou |
author_sort | Beare, Richard |
collection | PubMed |
description | PURPOSE: The neuroimaging research community—which includes a broad range of scientific, medical, statistical, and engineering disciplines—has developed many tools to advance our knowledge of brain structure, function, development, aging, and disease. Past research efforts have clearly shaped clinical practice. However, translation of new methodologies into clinical practice is challenging. Anything that can reduce these barriers has the potential to improve the rate at which research outcomes can contribute to clinical practice. In this article, we introduce Karawun, a file format conversion tool, that has become a key part of our work in translating advances in diffusion imaging acquisition and analysis into neurosurgical practice at our institution. METHODS: Karawun links analysis workflows created using open-source neuroimaging software, to Brainlab (Brainlab AG, Munich, Germany), a commercially available surgical planning and navigation suite. Karawun achieves this using DICOM standards supporting representation of 3D structures, including tractography streamlines, and thus offers far more than traditional screenshot or color overlay approaches. RESULTS: We show that neurosurgical planning data, created from multimodal imaging data using analysis methods implemented in open-source research software, can be imported into Brainlab. The datasets can be manipulated as if they were created by Brainlab, including 3D visualizations of white matter tracts and other objects. CONCLUSION: Clinicians can explore and interact with the results of research neuroimaging pipelines using familiar tools within their standard clinical workflow, understand the impact of the new methods on their practice and provide feedback to methods developers. This capability has been important to the translation of advanced analysis techniques into practice at our institution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-022-02736-7. |
format | Online Article Text |
id | pubmed-9883338 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-98833382023-01-29 Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation Beare, Richard Alexander, Bonnie Warren, Aaron Kean, Michael Seal, Marc Wray, Alison Maixner, Wirginia Yang, Joseph Yuan-Mou Int J Comput Assist Radiol Surg Original Article PURPOSE: The neuroimaging research community—which includes a broad range of scientific, medical, statistical, and engineering disciplines—has developed many tools to advance our knowledge of brain structure, function, development, aging, and disease. Past research efforts have clearly shaped clinical practice. However, translation of new methodologies into clinical practice is challenging. Anything that can reduce these barriers has the potential to improve the rate at which research outcomes can contribute to clinical practice. In this article, we introduce Karawun, a file format conversion tool, that has become a key part of our work in translating advances in diffusion imaging acquisition and analysis into neurosurgical practice at our institution. METHODS: Karawun links analysis workflows created using open-source neuroimaging software, to Brainlab (Brainlab AG, Munich, Germany), a commercially available surgical planning and navigation suite. Karawun achieves this using DICOM standards supporting representation of 3D structures, including tractography streamlines, and thus offers far more than traditional screenshot or color overlay approaches. RESULTS: We show that neurosurgical planning data, created from multimodal imaging data using analysis methods implemented in open-source research software, can be imported into Brainlab. The datasets can be manipulated as if they were created by Brainlab, including 3D visualizations of white matter tracts and other objects. CONCLUSION: Clinicians can explore and interact with the results of research neuroimaging pipelines using familiar tools within their standard clinical workflow, understand the impact of the new methods on their practice and provide feedback to methods developers. This capability has been important to the translation of advanced analysis techniques into practice at our institution. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-022-02736-7. Springer International Publishing 2022-09-07 2023 /pmc/articles/PMC9883338/ /pubmed/36070033 http://dx.doi.org/10.1007/s11548-022-02736-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Beare, Richard Alexander, Bonnie Warren, Aaron Kean, Michael Seal, Marc Wray, Alison Maixner, Wirginia Yang, Joseph Yuan-Mou Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
title | Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
title_full | Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
title_fullStr | Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
title_full_unstemmed | Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
title_short | Karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
title_sort | karawun: a software package for assisting evaluation of advances in multimodal imaging for neurosurgical planning and intraoperative neuronavigation |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883338/ https://www.ncbi.nlm.nih.gov/pubmed/36070033 http://dx.doi.org/10.1007/s11548-022-02736-7 |
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