Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease

Understanding the anatomical features and generation of realistic three-dimensional (3D) visualization of congenital heart disease (CHD) is always challenging due to the complexity and wide spectrum of CHD. Emerging technologies, including 3D printing and mixed reality (MR), have the potential to ov...

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Main Authors: Lau, Ivan, Gupta, A., Ihdayhid, Abdul, Sun, Zhonghua
Format: Journal Article
Published: MDPI AG 2022
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/89497
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author Lau, Ivan
Gupta, A.
Ihdayhid, Abdul
Sun, Zhonghua
author_facet Lau, Ivan
Gupta, A.
Ihdayhid, Abdul
Sun, Zhonghua
author_sort Lau, Ivan
building Curtin Institutional Repository
collection Online Access
description Understanding the anatomical features and generation of realistic three-dimensional (3D) visualization of congenital heart disease (CHD) is always challenging due to the complexity and wide spectrum of CHD. Emerging technologies, including 3D printing and mixed reality (MR), have the potential to overcome these limitations based on 2D and 3D reconstructions of the standard DICOM (Digital Imaging and Communications in Medicine) images. However, very little research has been conducted with regard to the clinical value of these two novel technologies in CHD. This study aims to investigate the usefulness and clinical value of MR and 3D printing in assisting diagnosis, medical education, pre-operative planning, and intraoperative guidance of CHD surgeries through evaluations from a group of cardiac specialists and physicians. Two cardiac computed tomography angiography scans that demonstrate CHD of different complexities (atrial septal defect and double outlet right ventricle) were selected and converted into 3D-printed heart models (3DPHM) and MR models. Thirty-four cardiac specialists and physicians were recruited. The results showed that the MR models were ranked as the best modality amongst the three, and were significantly better than DICOM images in demonstrating complex CHD lesions (mean difference (MD) = 0.76, p = 0.01), in enhancing depth perception (MD = 1.09, p = 0.00), in portraying spatial relationship between cardiac structures (MD = 1.15, p = 0.00), as a learning tool of the pathology (MD = 0.91, p = 0.00), and in facilitating pre-operative planning (MD = 0.87, p = 0.02). The 3DPHM were ranked as the best modality and significantly better than DICOM images in facilitating communication with patients (MD = 0.99, p = 0.00). In conclusion, both MR models and 3DPHM have their own strengths in different aspects, and they are superior to standard DICOM images in the visualization and management of CHD.
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spelling curtin-20.500.11937-894972022-10-31T02:59:45Z Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease Lau, Ivan Gupta, A. Ihdayhid, Abdul Sun, Zhonghua 1102 - Cardiorespiratory Medicine And Haematology 3201 - Cardiovascular medicine and haematology Understanding the anatomical features and generation of realistic three-dimensional (3D) visualization of congenital heart disease (CHD) is always challenging due to the complexity and wide spectrum of CHD. Emerging technologies, including 3D printing and mixed reality (MR), have the potential to overcome these limitations based on 2D and 3D reconstructions of the standard DICOM (Digital Imaging and Communications in Medicine) images. However, very little research has been conducted with regard to the clinical value of these two novel technologies in CHD. This study aims to investigate the usefulness and clinical value of MR and 3D printing in assisting diagnosis, medical education, pre-operative planning, and intraoperative guidance of CHD surgeries through evaluations from a group of cardiac specialists and physicians. Two cardiac computed tomography angiography scans that demonstrate CHD of different complexities (atrial septal defect and double outlet right ventricle) were selected and converted into 3D-printed heart models (3DPHM) and MR models. Thirty-four cardiac specialists and physicians were recruited. The results showed that the MR models were ranked as the best modality amongst the three, and were significantly better than DICOM images in demonstrating complex CHD lesions (mean difference (MD) = 0.76, p = 0.01), in enhancing depth perception (MD = 1.09, p = 0.00), in portraying spatial relationship between cardiac structures (MD = 1.15, p = 0.00), as a learning tool of the pathology (MD = 0.91, p = 0.00), and in facilitating pre-operative planning (MD = 0.87, p = 0.02). The 3DPHM were ranked as the best modality and significantly better than DICOM images in facilitating communication with patients (MD = 0.99, p = 0.00). In conclusion, both MR models and 3DPHM have their own strengths in different aspects, and they are superior to standard DICOM images in the visualization and management of CHD. 2022 Journal Article http://hdl.handle.net/20.500.11937/89497 10.3390/biom12111548 http://creativecommons.org/licenses/by/4.0/ MDPI AG fulltext
spellingShingle 1102 - Cardiorespiratory Medicine And Haematology
3201 - Cardiovascular medicine and haematology
Lau, Ivan
Gupta, A.
Ihdayhid, Abdul
Sun, Zhonghua
Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease
title Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease
title_full Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease
title_fullStr Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease
title_full_unstemmed Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease
title_short Clinical Applications of Mixed Reality and 3D Printing in Congenital Heart Disease
title_sort clinical applications of mixed reality and 3d printing in congenital heart disease
topic 1102 - Cardiorespiratory Medicine And Haematology
3201 - Cardiovascular medicine and haematology
url http://hdl.handle.net/20.500.11937/89497