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3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept
PURPOSE: Abnormalities in the bladder wall require careful investigation regarding type, spatial position and invasiveness. Construction of a 3-D model of the bladder is helpful to ensure adequate coverage of the scanning procedure, quantitative comparison of bladder wall textures between successive...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497453/ https://www.ncbi.nlm.nih.gov/pubmed/37085675 http://dx.doi.org/10.1007/s11548-023-02900-7 |
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author | Groenhuis, Vincent de Groot, Antonius G. Cornel, Erik B. Stramigioli, Stefano Siepel, Françoise J. |
author_facet | Groenhuis, Vincent de Groot, Antonius G. Cornel, Erik B. Stramigioli, Stefano Siepel, Françoise J. |
author_sort | Groenhuis, Vincent |
collection | PubMed |
description | PURPOSE: Abnormalities in the bladder wall require careful investigation regarding type, spatial position and invasiveness. Construction of a 3-D model of the bladder is helpful to ensure adequate coverage of the scanning procedure, quantitative comparison of bladder wall textures between successive sessions and finding back previously discovered abnormalities. METHODS: Videos of both an in vivo bladder and a textured bladder phantom were acquired. Structure-from-motion and bundle adjustment algorithms were used to construct a 3-D point cloud, approximate it by a surface mesh, texture it with the back-projected camera frames and draw the corresponding 2-D atlas. Reconstructions of successive sessions were compared; those of the bladder phantom were co-registered, transformed using 3-D thin plate splines and post-processed to highlight significant changes in texture. RESULTS: The reconstruction algorithms of the presented workflow were able to construct 3-D models and corresponding 2-D atlas of both the in vivo bladder and the bladder phantom. For the in vivo bladder the portion of the reconstructed surface area was 58% and 79% for the pre- and post-operative scan, respectively. For the bladder phantom the full surface was reconstructed and the mean reprojection error was 0.081 mm (range 0–0.79 mm). In inter-session comparison the changes in texture were correctly indicated for all six locations. CONCLUSION: The proposed proof of concept was able to perform 3-D and 2-D reconstruction of an in vivo bladder wall based on a set of monocular images. In a phantom study the computer vision algorithms were also effective in co-registering reconstructions of successive sessions and highlighting texture changes between sessions. These techniques may be useful for detecting, monitoring and revisiting suspicious lesions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02900-7. |
format | Online Article Text |
id | pubmed-10497453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-104974532023-09-14 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept Groenhuis, Vincent de Groot, Antonius G. Cornel, Erik B. Stramigioli, Stefano Siepel, Françoise J. Int J Comput Assist Radiol Surg Original Article PURPOSE: Abnormalities in the bladder wall require careful investigation regarding type, spatial position and invasiveness. Construction of a 3-D model of the bladder is helpful to ensure adequate coverage of the scanning procedure, quantitative comparison of bladder wall textures between successive sessions and finding back previously discovered abnormalities. METHODS: Videos of both an in vivo bladder and a textured bladder phantom were acquired. Structure-from-motion and bundle adjustment algorithms were used to construct a 3-D point cloud, approximate it by a surface mesh, texture it with the back-projected camera frames and draw the corresponding 2-D atlas. Reconstructions of successive sessions were compared; those of the bladder phantom were co-registered, transformed using 3-D thin plate splines and post-processed to highlight significant changes in texture. RESULTS: The reconstruction algorithms of the presented workflow were able to construct 3-D models and corresponding 2-D atlas of both the in vivo bladder and the bladder phantom. For the in vivo bladder the portion of the reconstructed surface area was 58% and 79% for the pre- and post-operative scan, respectively. For the bladder phantom the full surface was reconstructed and the mean reprojection error was 0.081 mm (range 0–0.79 mm). In inter-session comparison the changes in texture were correctly indicated for all six locations. CONCLUSION: The proposed proof of concept was able to perform 3-D and 2-D reconstruction of an in vivo bladder wall based on a set of monocular images. In a phantom study the computer vision algorithms were also effective in co-registering reconstructions of successive sessions and highlighting texture changes between sessions. These techniques may be useful for detecting, monitoring and revisiting suspicious lesions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11548-023-02900-7. Springer International Publishing 2023-04-21 2023 /pmc/articles/PMC10497453/ /pubmed/37085675 http://dx.doi.org/10.1007/s11548-023-02900-7 Text en © The Author(s) 2023 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 Groenhuis, Vincent de Groot, Antonius G. Cornel, Erik B. Stramigioli, Stefano Siepel, Françoise J. 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
title | 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
title_full | 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
title_fullStr | 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
title_full_unstemmed | 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
title_short | 3-D and 2-D reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
title_sort | 3-d and 2-d reconstruction of bladders for the assessment of inter-session detection of tissue changes: a proof of concept |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10497453/ https://www.ncbi.nlm.nih.gov/pubmed/37085675 http://dx.doi.org/10.1007/s11548-023-02900-7 |
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