Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions
The 3D reconstruction from a single-view image is a longstanding issue in computer vision literature, especially in the medical field. Traditional medical imaging techniques that provide information about the heart and which are used to reconstruct the heart model, include Magnetic Resonance Imaging...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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Science Publications
2013
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Online Access: | http://psasir.upm.edu.my/id/eprint/30679/1/ajassp.2013.669.680.pdf |
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author | Al-Surmi, Aqeel Abdullah Ahmed O. K. Rahmat, Rahmita Wirza Dimon, Mohd Zamrin Mahmod, Ramlan Khalid, Fatimah |
author_facet | Al-Surmi, Aqeel Abdullah Ahmed O. K. Rahmat, Rahmita Wirza Dimon, Mohd Zamrin Mahmod, Ramlan Khalid, Fatimah |
author_sort | Al-Surmi, Aqeel Abdullah Ahmed |
collection | UPM |
description | The 3D reconstruction from a single-view image is a longstanding issue in computer vision literature, especially in the medical field. Traditional medical imaging techniques that provide information about the heart and which are used to reconstruct the heart model, include Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images. However, in some cases, they are not available and the applications that use these techniques to model the human heart only produce acceptable results after a long process, which involves acquiring the input data, as well as the segmentation process, the matching process, effort and cost. Therefore, it would be useful to be able to use a 2D single image to reconstruct the 3D heart surface model. We introduce an image-based human heart surface reconstruction from a single image as input. To model the surface of the heart, the proposed method, first, detects and corrects the specular reflection from the heart's surface, which causes deformation of the surface in the R3. Second, it extrudes the three axes for each image pixel (e.g., x, y and z axes) from the input image, in which the z-axis is calculated using the intensity value. Finally, a 3D reconstruction of the heart surface is created to help the novice cardiac surgeon to reduce the period of time in learning cardiac surgery and to enhance their perception of the operating theatre. The experimental results for images of the heart show the efficiency of the proposed method compared to the existing methods. |
first_indexed | 2024-03-06T08:18:17Z |
format | Article |
id | upm.eprints-30679 |
institution | Universiti Putra Malaysia |
language | English |
last_indexed | 2024-03-06T08:18:17Z |
publishDate | 2013 |
publisher | Science Publications |
record_format | dspace |
spelling | upm.eprints-306792017-11-22T09:40:10Z http://psasir.upm.edu.my/id/eprint/30679/ Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions Al-Surmi, Aqeel Abdullah Ahmed O. K. Rahmat, Rahmita Wirza Dimon, Mohd Zamrin Mahmod, Ramlan Khalid, Fatimah The 3D reconstruction from a single-view image is a longstanding issue in computer vision literature, especially in the medical field. Traditional medical imaging techniques that provide information about the heart and which are used to reconstruct the heart model, include Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) images. However, in some cases, they are not available and the applications that use these techniques to model the human heart only produce acceptable results after a long process, which involves acquiring the input data, as well as the segmentation process, the matching process, effort and cost. Therefore, it would be useful to be able to use a 2D single image to reconstruct the 3D heart surface model. We introduce an image-based human heart surface reconstruction from a single image as input. To model the surface of the heart, the proposed method, first, detects and corrects the specular reflection from the heart's surface, which causes deformation of the surface in the R3. Second, it extrudes the three axes for each image pixel (e.g., x, y and z axes) from the input image, in which the z-axis is calculated using the intensity value. Finally, a 3D reconstruction of the heart surface is created to help the novice cardiac surgeon to reduce the period of time in learning cardiac surgery and to enhance their perception of the operating theatre. The experimental results for images of the heart show the efficiency of the proposed method compared to the existing methods. Science Publications 2013-07-10 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/30679/1/ajassp.2013.669.680.pdf Al-Surmi, Aqeel Abdullah Ahmed and O. K. Rahmat, Rahmita Wirza and Dimon, Mohd Zamrin and Mahmod, Ramlan and Khalid, Fatimah (2013) Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions. American Journal of Applied Sciences, 10 (7). pp. 669-680. ISSN 1546-9239; ESSN: 1554-3641 http://thescipub.com/abstract/10.3844/ajassp.2013.669.680 10.3844/ajassp.2013.669.680 |
spellingShingle | Al-Surmi, Aqeel Abdullah Ahmed O. K. Rahmat, Rahmita Wirza Dimon, Mohd Zamrin Mahmod, Ramlan Khalid, Fatimah Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions |
title | Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions |
title_full | Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions |
title_fullStr | Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions |
title_full_unstemmed | Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions |
title_short | Three dimensional reconstruction of human heart surface from single image- view under different illumination conditions |
title_sort | three dimensional reconstruction of human heart surface from single image view under different illumination conditions |
url | http://psasir.upm.edu.my/id/eprint/30679/1/ajassp.2013.669.680.pdf |
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