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New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing
Three-dimensional imaging is at the core of medical imaging and is becoming a standard in biological research. As a result, there is an increasing need to visualize, analyze and interact with data in a natural three-dimensional context. By combining stereoscopy and motion tracking, commercial virtua...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580868/ https://www.ncbi.nlm.nih.gov/pubmed/36303792 http://dx.doi.org/10.3389/fbinf.2021.777101 |
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author | Guérinot, Corentin Marcon, Valentin Godard, Charlotte Blanc, Thomas Verdier, Hippolyte Planchon, Guillaume Raimondi, Francesca Boddaert, Nathalie Alonso, Mariana Sailor, Kurt Lledo, Pierre-Marie Hajj, Bassam El Beheiry, Mohamed Masson, Jean-Baptiste |
author_facet | Guérinot, Corentin Marcon, Valentin Godard, Charlotte Blanc, Thomas Verdier, Hippolyte Planchon, Guillaume Raimondi, Francesca Boddaert, Nathalie Alonso, Mariana Sailor, Kurt Lledo, Pierre-Marie Hajj, Bassam El Beheiry, Mohamed Masson, Jean-Baptiste |
author_sort | Guérinot, Corentin |
collection | PubMed |
description | Three-dimensional imaging is at the core of medical imaging and is becoming a standard in biological research. As a result, there is an increasing need to visualize, analyze and interact with data in a natural three-dimensional context. By combining stereoscopy and motion tracking, commercial virtual reality (VR) headsets provide a solution to this critical visualization challenge by allowing users to view volumetric image stacks in a highly intuitive fashion. While optimizing the visualization and interaction process in VR remains an active topic, one of the most pressing issue is how to utilize VR for annotation and analysis of data. Annotating data is often a required step for training machine learning algorithms. For example, enhancing the ability to annotate complex three-dimensional data in biological research as newly acquired data may come in limited quantities. Similarly, medical data annotation is often time-consuming and requires expert knowledge to identify structures of interest correctly. Moreover, simultaneous data analysis and visualization in VR is computationally demanding. Here, we introduce a new procedure to visualize, interact, annotate and analyze data by combining VR with cloud computing. VR is leveraged to provide natural interactions with volumetric representations of experimental imaging data. In parallel, cloud computing performs costly computations to accelerate the data annotation with minimal input required from the user. We demonstrate multiple proof-of-concept applications of our approach on volumetric fluorescent microscopy images of mouse neurons and tumor or organ annotations in medical images. |
format | Online Article Text |
id | pubmed-9580868 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95808682022-10-26 New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing Guérinot, Corentin Marcon, Valentin Godard, Charlotte Blanc, Thomas Verdier, Hippolyte Planchon, Guillaume Raimondi, Francesca Boddaert, Nathalie Alonso, Mariana Sailor, Kurt Lledo, Pierre-Marie Hajj, Bassam El Beheiry, Mohamed Masson, Jean-Baptiste Front Bioinform Bioinformatics Three-dimensional imaging is at the core of medical imaging and is becoming a standard in biological research. As a result, there is an increasing need to visualize, analyze and interact with data in a natural three-dimensional context. By combining stereoscopy and motion tracking, commercial virtual reality (VR) headsets provide a solution to this critical visualization challenge by allowing users to view volumetric image stacks in a highly intuitive fashion. While optimizing the visualization and interaction process in VR remains an active topic, one of the most pressing issue is how to utilize VR for annotation and analysis of data. Annotating data is often a required step for training machine learning algorithms. For example, enhancing the ability to annotate complex three-dimensional data in biological research as newly acquired data may come in limited quantities. Similarly, medical data annotation is often time-consuming and requires expert knowledge to identify structures of interest correctly. Moreover, simultaneous data analysis and visualization in VR is computationally demanding. Here, we introduce a new procedure to visualize, interact, annotate and analyze data by combining VR with cloud computing. VR is leveraged to provide natural interactions with volumetric representations of experimental imaging data. In parallel, cloud computing performs costly computations to accelerate the data annotation with minimal input required from the user. We demonstrate multiple proof-of-concept applications of our approach on volumetric fluorescent microscopy images of mouse neurons and tumor or organ annotations in medical images. Frontiers Media S.A. 2022-01-31 /pmc/articles/PMC9580868/ /pubmed/36303792 http://dx.doi.org/10.3389/fbinf.2021.777101 Text en Copyright © 2022 Guérinot, Marcon, Godard, Blanc, Verdier, Planchon, Raimondi, Boddaert, Alonso, Sailor, Lledo, Hajj, El Beheiry and Masson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Bioinformatics Guérinot, Corentin Marcon, Valentin Godard, Charlotte Blanc, Thomas Verdier, Hippolyte Planchon, Guillaume Raimondi, Francesca Boddaert, Nathalie Alonso, Mariana Sailor, Kurt Lledo, Pierre-Marie Hajj, Bassam El Beheiry, Mohamed Masson, Jean-Baptiste New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing |
title | New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing |
title_full | New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing |
title_fullStr | New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing |
title_full_unstemmed | New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing |
title_short | New Approach to Accelerated Image Annotation by Leveraging Virtual Reality and Cloud Computing |
title_sort | new approach to accelerated image annotation by leveraging virtual reality and cloud computing |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9580868/ https://www.ncbi.nlm.nih.gov/pubmed/36303792 http://dx.doi.org/10.3389/fbinf.2021.777101 |
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