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3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration

BACKGROUND: Computerized tomographic angiography (3D data representing the coronary arteries) and X-ray angiography (2D X-ray image sequences providing information about coronary arteries and their stenosis) are standard and popular assessment tools utilized for medical diagnosis of coronary artery...

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Autores principales: Moosavi Tayebi, Rohollah, Wirza, Rahmita, Sulaiman, Puteri S B, Dimon, Mohd Zamrin, Khalid, Fatimah, Al-Surmi, Aqeel, Mazaheri, Samaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430913/
https://www.ncbi.nlm.nih.gov/pubmed/25896185
http://dx.doi.org/10.1186/s13019-015-0249-2
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author Moosavi Tayebi, Rohollah
Wirza, Rahmita
Sulaiman, Puteri S B
Dimon, Mohd Zamrin
Khalid, Fatimah
Al-Surmi, Aqeel
Mazaheri, Samaneh
author_facet Moosavi Tayebi, Rohollah
Wirza, Rahmita
Sulaiman, Puteri S B
Dimon, Mohd Zamrin
Khalid, Fatimah
Al-Surmi, Aqeel
Mazaheri, Samaneh
author_sort Moosavi Tayebi, Rohollah
collection PubMed
description BACKGROUND: Computerized tomographic angiography (3D data representing the coronary arteries) and X-ray angiography (2D X-ray image sequences providing information about coronary arteries and their stenosis) are standard and popular assessment tools utilized for medical diagnosis of coronary artery diseases. At present, the results of both modalities are individually analyzed by specialists and it is difficult for them to mentally connect the details of these two techniques. The aim of this work is to assist medical diagnosis by providing specialists with the relationship between computerized tomographic angiography and X-ray angiography. METHODS: In this study, coronary arteries from two modalities are registered in order to create a 3D reconstruction of the stenosis position. The proposed method starts with coronary artery segmentation and labeling for both modalities. Then, stenosis and relevant labeled artery in X-ray angiography image are marked by a specialist. Proper control points for the marked artery in both modalities are automatically detected and normalized. Then, a geometrical transformation function is computed using these control points. Finally, this function is utilized to register the marked artery from the X-ray angiography image on the computerized tomographic angiography and get the 3D position of the stenosis lesion. RESULTS: The result is a 3D informative model consisting of stenosis and coronary arteries’ information from the X-ray angiography and computerized tomographic angiography modalities. The results of the proposed method for coronary artery segmentation, labeling and 3D reconstruction are evaluated and validated on the dataset containing both modalities. CONCLUSIONS: The advantage of this method is to aid specialists to determine a visual relationship between the correspondent coronary arteries from two modalities and also set up a connection between stenosis points from an X-ray angiography along with their 3D positions on the coronary arteries from computerized tomographic angiography. Moreover, another benefit of this work is that the medical acquisition standards remain unchanged, which means that no calibration in the acquisition devices is required. It can be applied on most computerized tomographic angiography and angiography devices.
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spelling pubmed-44309132015-05-15 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration Moosavi Tayebi, Rohollah Wirza, Rahmita Sulaiman, Puteri S B Dimon, Mohd Zamrin Khalid, Fatimah Al-Surmi, Aqeel Mazaheri, Samaneh J Cardiothorac Surg Research Article BACKGROUND: Computerized tomographic angiography (3D data representing the coronary arteries) and X-ray angiography (2D X-ray image sequences providing information about coronary arteries and their stenosis) are standard and popular assessment tools utilized for medical diagnosis of coronary artery diseases. At present, the results of both modalities are individually analyzed by specialists and it is difficult for them to mentally connect the details of these two techniques. The aim of this work is to assist medical diagnosis by providing specialists with the relationship between computerized tomographic angiography and X-ray angiography. METHODS: In this study, coronary arteries from two modalities are registered in order to create a 3D reconstruction of the stenosis position. The proposed method starts with coronary artery segmentation and labeling for both modalities. Then, stenosis and relevant labeled artery in X-ray angiography image are marked by a specialist. Proper control points for the marked artery in both modalities are automatically detected and normalized. Then, a geometrical transformation function is computed using these control points. Finally, this function is utilized to register the marked artery from the X-ray angiography image on the computerized tomographic angiography and get the 3D position of the stenosis lesion. RESULTS: The result is a 3D informative model consisting of stenosis and coronary arteries’ information from the X-ray angiography and computerized tomographic angiography modalities. The results of the proposed method for coronary artery segmentation, labeling and 3D reconstruction are evaluated and validated on the dataset containing both modalities. CONCLUSIONS: The advantage of this method is to aid specialists to determine a visual relationship between the correspondent coronary arteries from two modalities and also set up a connection between stenosis points from an X-ray angiography along with their 3D positions on the coronary arteries from computerized tomographic angiography. Moreover, another benefit of this work is that the medical acquisition standards remain unchanged, which means that no calibration in the acquisition devices is required. It can be applied on most computerized tomographic angiography and angiography devices. BioMed Central 2015-04-22 /pmc/articles/PMC4430913/ /pubmed/25896185 http://dx.doi.org/10.1186/s13019-015-0249-2 Text en © Moosavi Tayebi et al.; licensee BioMed Central. 2015 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Moosavi Tayebi, Rohollah
Wirza, Rahmita
Sulaiman, Puteri S B
Dimon, Mohd Zamrin
Khalid, Fatimah
Al-Surmi, Aqeel
Mazaheri, Samaneh
3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
title 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
title_full 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
title_fullStr 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
title_full_unstemmed 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
title_short 3D multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
title_sort 3d multimodal cardiac data reconstruction using angiography and computerized tomographic angiography registration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4430913/
https://www.ncbi.nlm.nih.gov/pubmed/25896185
http://dx.doi.org/10.1186/s13019-015-0249-2
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