3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES
In the last years, cardiovascular diagnosis, surgical planning and intervention have taken advantages from 3D modelling and rapid prototyping techniques. The starting data for the whole process is represented by medical imagery, in particular, but not exclusively, computed tomography (CT) or multi...
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Format: | Article |
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Copernicus Publications
2016-06-01
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Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/887/2016/isprs-archives-XLI-B5-887-2016.pdf |
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author | E. Nocerino F. Remondino F. Uccheddu M. Gallo G. Gerosa |
author_facet | E. Nocerino F. Remondino F. Uccheddu M. Gallo G. Gerosa |
author_sort | E. Nocerino |
collection | DOAJ |
description | In the last years, cardiovascular diagnosis, surgical planning and intervention have taken advantages from 3D modelling and rapid
prototyping techniques. The starting data for the whole process is represented by medical imagery, in particular, but not exclusively,
computed tomography (CT) or multi-slice CT (MCT) and magnetic resonance imaging (MRI). On the medical imagery, regions of
interest, i.e. heart chambers, valves, aorta, coronary vessels, etc., are segmented and converted into 3D models, which can be finally
converted in physical replicas through 3D printing procedure. In this work, an overview on modern approaches for automatic and semiautomatic
segmentation of medical imagery for 3D surface model generation is provided. The issue of accuracy check of surface
models is also addressed, together with the critical aspects of converting digital models into physical replicas through 3D printing
techniques. A patient-specific 3D modelling and printing procedure (Figure 1), for surgical planning in case of complex heart diseases
was developed. The procedure was applied to two case studies, for which MCT scans of the chest are available. In the article, a detailed
description on the implemented patient-specific modelling procedure is provided, along with a general discussion on the potentiality
and future developments of personalized 3D modelling and printing for surgical planning and surgeons practice. |
first_indexed | 2024-12-23T06:13:52Z |
format | Article |
id | doaj.art-db7fe0474ffb4d20b96cc9d643786041 |
institution | Directory Open Access Journal |
issn | 1682-1750 2194-9034 |
language | English |
last_indexed | 2024-12-23T06:13:52Z |
publishDate | 2016-06-01 |
publisher | Copernicus Publications |
record_format | Article |
series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-db7fe0474ffb4d20b96cc9d6437860412022-12-21T17:57:22ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342016-06-01XLI-B588789310.5194/isprs-archives-XLI-B5-887-20163D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIESE. Nocerino0F. Remondino1F. Uccheddu2M. Gallo3G. Gerosa43D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy3D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, ItalyDIEF, Dipartimento Ingegneria Industriale, Università di Firenze, Florence, ItalyDivision of Cardiac Surgery, Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padova, ItalyDivision of Cardiac Surgery, Department of Cardiac, Thoracic and Vascular Sciences, University of Padua, Padova, ItalyIn the last years, cardiovascular diagnosis, surgical planning and intervention have taken advantages from 3D modelling and rapid prototyping techniques. The starting data for the whole process is represented by medical imagery, in particular, but not exclusively, computed tomography (CT) or multi-slice CT (MCT) and magnetic resonance imaging (MRI). On the medical imagery, regions of interest, i.e. heart chambers, valves, aorta, coronary vessels, etc., are segmented and converted into 3D models, which can be finally converted in physical replicas through 3D printing procedure. In this work, an overview on modern approaches for automatic and semiautomatic segmentation of medical imagery for 3D surface model generation is provided. The issue of accuracy check of surface models is also addressed, together with the critical aspects of converting digital models into physical replicas through 3D printing techniques. A patient-specific 3D modelling and printing procedure (Figure 1), for surgical planning in case of complex heart diseases was developed. The procedure was applied to two case studies, for which MCT scans of the chest are available. In the article, a detailed description on the implemented patient-specific modelling procedure is provided, along with a general discussion on the potentiality and future developments of personalized 3D modelling and printing for surgical planning and surgeons practice.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/887/2016/isprs-archives-XLI-B5-887-2016.pdf |
spellingShingle | E. Nocerino F. Remondino F. Uccheddu M. Gallo G. Gerosa 3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | 3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES |
title_full | 3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES |
title_fullStr | 3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES |
title_full_unstemmed | 3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES |
title_short | 3D MODELLING AND RAPID PROTOTYPING FOR CARDIOVASCULAR SURGICAL PLANNING – TWO CASE STUDIES |
title_sort | 3d modelling and rapid prototyping for cardiovascular surgical planning two case studies |
url | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B5/887/2016/isprs-archives-XLI-B5-887-2016.pdf |
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