A new human heart vessel identification, segmentation and 3D reconstruction mechanism

Background: The identification and segmentation of inhomogeneous image regions is one of the most challenging issues nowadays. The surface vessels of the human heart are important for the surgeons to locate the region where to perform the surgery and to avoid surgical injuries. In addition, such ide...

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Published in:Journal of Cardiothoracic Surgery
Main Author: Al-Surmi A.; Wirza R.; Mahmod R.; Khalid F.; Dimon M.Z.
Format: Article
Language:English
Published: BioMed Central Ltd. 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908084243&doi=10.1186%2fs13019-014-0161-1&partnerID=40&md5=a2d13d7e2e56adca0f08696949274f38
id 2-s2.0-84908084243
spelling 2-s2.0-84908084243
Al-Surmi A.; Wirza R.; Mahmod R.; Khalid F.; Dimon M.Z.
A new human heart vessel identification, segmentation and 3D reconstruction mechanism
2014
Journal of Cardiothoracic Surgery
9
1
10.1186/s13019-014-0161-1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908084243&doi=10.1186%2fs13019-014-0161-1&partnerID=40&md5=a2d13d7e2e56adca0f08696949274f38
Background: The identification and segmentation of inhomogeneous image regions is one of the most challenging issues nowadays. The surface vessels of the human heart are important for the surgeons to locate the region where to perform the surgery and to avoid surgical injuries. In addition, such identification, segmentation, and visualisation helps novice surgeons in the training phase of cardiac surgery.Methods: This article introduces a new mechanism for identifying the position of vessels leading to the performance of surgery by enhancement of the input image. In addition, develop a 3D vessel reconstruction out of a single-view of a real human heart colour image obtained during open-heart surgery. Results: Reduces the time required for locating the vessel region of interest (ROI). The vessel ROI must appear clearly for the surgeons. Furthermore, reduces the time required for training cardiac surgery of the novice surgeons. The 94.42% accuracy rate of the proposed vessel segmentation method using RGB colour space compares to other colour spaces. Conclusions: The advantage of this mechanism is to help the surgeons to perform surgery in less time, avoid surgical errors, and to reduce surgical effort. Moreover, the proposed technique can reconstruct the 3D vessel model from a single image to facilitate learning of the heart anatomy as well as training of cardiac surgery for the novice surgeons. Furthermore, extensive experiments have been conducted which reveal the superior performance of the proposed mechanism compared to the state of the art methods. © 2014 Al-Surmi et al.; licensee BioMed Central Ltd.
BioMed Central Ltd.
17498090
English
Article
All Open Access; Gold Open Access; Green Open Access
author Al-Surmi A.; Wirza R.; Mahmod R.; Khalid F.; Dimon M.Z.
spellingShingle Al-Surmi A.; Wirza R.; Mahmod R.; Khalid F.; Dimon M.Z.
A new human heart vessel identification, segmentation and 3D reconstruction mechanism
author_facet Al-Surmi A.; Wirza R.; Mahmod R.; Khalid F.; Dimon M.Z.
author_sort Al-Surmi A.; Wirza R.; Mahmod R.; Khalid F.; Dimon M.Z.
title A new human heart vessel identification, segmentation and 3D reconstruction mechanism
title_short A new human heart vessel identification, segmentation and 3D reconstruction mechanism
title_full A new human heart vessel identification, segmentation and 3D reconstruction mechanism
title_fullStr A new human heart vessel identification, segmentation and 3D reconstruction mechanism
title_full_unstemmed A new human heart vessel identification, segmentation and 3D reconstruction mechanism
title_sort A new human heart vessel identification, segmentation and 3D reconstruction mechanism
publishDate 2014
container_title Journal of Cardiothoracic Surgery
container_volume 9
container_issue 1
doi_str_mv 10.1186/s13019-014-0161-1
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84908084243&doi=10.1186%2fs13019-014-0161-1&partnerID=40&md5=a2d13d7e2e56adca0f08696949274f38
description Background: The identification and segmentation of inhomogeneous image regions is one of the most challenging issues nowadays. The surface vessels of the human heart are important for the surgeons to locate the region where to perform the surgery and to avoid surgical injuries. In addition, such identification, segmentation, and visualisation helps novice surgeons in the training phase of cardiac surgery.Methods: This article introduces a new mechanism for identifying the position of vessels leading to the performance of surgery by enhancement of the input image. In addition, develop a 3D vessel reconstruction out of a single-view of a real human heart colour image obtained during open-heart surgery. Results: Reduces the time required for locating the vessel region of interest (ROI). The vessel ROI must appear clearly for the surgeons. Furthermore, reduces the time required for training cardiac surgery of the novice surgeons. The 94.42% accuracy rate of the proposed vessel segmentation method using RGB colour space compares to other colour spaces. Conclusions: The advantage of this mechanism is to help the surgeons to perform surgery in less time, avoid surgical errors, and to reduce surgical effort. Moreover, the proposed technique can reconstruct the 3D vessel model from a single image to facilitate learning of the heart anatomy as well as training of cardiac surgery for the novice surgeons. Furthermore, extensive experiments have been conducted which reveal the superior performance of the proposed mechanism compared to the state of the art methods. © 2014 Al-Surmi et al.; licensee BioMed Central Ltd.
publisher BioMed Central Ltd.
issn 17498090
language English
format Article
accesstype All Open Access; Gold Open Access; Green Open Access
record_format scopus
collection Scopus
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