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Retrieving 3D medical data along fitted curved slices and their display
BACKGROUND: Computeros tomography and magnetic resonance imaging are usually offered to the clinician in the form of sequences of axial, sagittal and coronal planar cuts. Frequently this does not allow for the full inspection of the morphology of the area of interest, because it is limited by the pl...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007650/ https://www.ncbi.nlm.nih.gov/pubmed/32033551 http://dx.doi.org/10.1186/s12911-019-1018-2 |
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author | Paluszny, Marco Ríos, Dany |
author_facet | Paluszny, Marco Ríos, Dany |
author_sort | Paluszny, Marco |
collection | PubMed |
description | BACKGROUND: Computeros tomography and magnetic resonance imaging are usually offered to the clinician in the form of sequences of axial, sagittal and coronal planar cuts. Frequently this does not allow for the full inspection of the morphology of the area of interest, because it is limited by the planarity. Efforts have been made to extract information along curved slices but their planar display is prone to metric deformation. METHODS: We propose a new visualization alternative of 3D medical volumes using curved slices adapted to areas of interest. We use surfaces fitted to specific organs as visualization canvasses. We describe the differential geometry techniques used to build the surfaces that may be isometrically flattened. These are referred to as develpable surfaces. RESULTS: We show concrete examples deemed useful for the development of clinical and educational tools. Our examples are centered in magnetic resonance data of the rotator cuff muscle complex and computed tomography data of maxillofacial and dental studies. We also look at the extraction and display of information from volumes of aortic aneurysms along transversal surfaces. DISCUSSION: We look at extensions of the technique and propose further possible clinical use of texturized surfaces in the context of volume navigation. CONCLUSIONS: We presented a technique to extract information from computer tomography and magnetic resonance volumes, using two different texturization techniques. In the cases that the fitting surfaces are chosen to be developable, they may be flattened without distortion. We also discuss how tu use the technique in other visualization tasks such as volume navigation and detection of volumetric features. |
format | Online Article Text |
id | pubmed-7007650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70076502020-02-13 Retrieving 3D medical data along fitted curved slices and their display Paluszny, Marco Ríos, Dany BMC Med Inform Decis Mak Research Article BACKGROUND: Computeros tomography and magnetic resonance imaging are usually offered to the clinician in the form of sequences of axial, sagittal and coronal planar cuts. Frequently this does not allow for the full inspection of the morphology of the area of interest, because it is limited by the planarity. Efforts have been made to extract information along curved slices but their planar display is prone to metric deformation. METHODS: We propose a new visualization alternative of 3D medical volumes using curved slices adapted to areas of interest. We use surfaces fitted to specific organs as visualization canvasses. We describe the differential geometry techniques used to build the surfaces that may be isometrically flattened. These are referred to as develpable surfaces. RESULTS: We show concrete examples deemed useful for the development of clinical and educational tools. Our examples are centered in magnetic resonance data of the rotator cuff muscle complex and computed tomography data of maxillofacial and dental studies. We also look at the extraction and display of information from volumes of aortic aneurysms along transversal surfaces. DISCUSSION: We look at extensions of the technique and propose further possible clinical use of texturized surfaces in the context of volume navigation. CONCLUSIONS: We presented a technique to extract information from computer tomography and magnetic resonance volumes, using two different texturization techniques. In the cases that the fitting surfaces are chosen to be developable, they may be flattened without distortion. We also discuss how tu use the technique in other visualization tasks such as volume navigation and detection of volumetric features. BioMed Central 2020-02-07 /pmc/articles/PMC7007650/ /pubmed/32033551 http://dx.doi.org/10.1186/s12911-019-1018-2 Text en © The Author(s) 2020 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver(http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Paluszny, Marco Ríos, Dany Retrieving 3D medical data along fitted curved slices and their display |
title | Retrieving 3D medical data along fitted curved slices and their display |
title_full | Retrieving 3D medical data along fitted curved slices and their display |
title_fullStr | Retrieving 3D medical data along fitted curved slices and their display |
title_full_unstemmed | Retrieving 3D medical data along fitted curved slices and their display |
title_short | Retrieving 3D medical data along fitted curved slices and their display |
title_sort | retrieving 3d medical data along fitted curved slices and their display |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7007650/ https://www.ncbi.nlm.nih.gov/pubmed/32033551 http://dx.doi.org/10.1186/s12911-019-1018-2 |
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