Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery
Abstract Background Minimally invasive vascular intervention (MIVI) is a powerful technique for the treatment of cardiovascular diseases, such as abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and aortic dissection (AD). Navigation of traditional MIVI surgery mainly relies only on 2...
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Format: | Article |
Language: | English |
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BMC
2023-03-01
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Series: | BMC Surgery |
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Online Access: | https://doi.org/10.1186/s12893-023-01944-5 |
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author | Shaoya Guan Tianqi Li Cai Meng Limei Ma |
author_facet | Shaoya Guan Tianqi Li Cai Meng Limei Ma |
author_sort | Shaoya Guan |
collection | DOAJ |
description | Abstract Background Minimally invasive vascular intervention (MIVI) is a powerful technique for the treatment of cardiovascular diseases, such as abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and aortic dissection (AD). Navigation of traditional MIVI surgery mainly relies only on 2D digital subtraction angiography (DSA) images, which is hard to observe the 3D morphology of blood vessels and position the interventional instruments. The multi-mode information fusion navigation system (MIFNS) proposed in this paper combines preoperative CT images and intraoperative DSA images together to increase the visualization information during operations. Results The main functions of MIFNS were evaluated by real clinical data and a vascular model. The registration accuracy of preoperative CTA images and intraoperative DSA images were less than 1 mm. The positioning accuracy of surgical instruments was quantitatively assessed using a vascular model and was also less than 1 mm. Real clinical data used to assess the navigation results of MIFNS on AAA, TAA and AD. Conclusions A comprehensive and effective navigation system was developed to facilitate the operation of surgeon during MIVI. The registration accuracy and positioning accuracy of the proposed navigation system were both less than 1 mm, which met the accuracy requirements of robot assisted MIVI. |
first_indexed | 2024-04-09T23:13:03Z |
format | Article |
id | doaj.art-64977936e5bb4af1943b0f741d43f689 |
institution | Directory Open Access Journal |
issn | 1471-2482 |
language | English |
last_indexed | 2024-04-09T23:13:03Z |
publishDate | 2023-03-01 |
publisher | BMC |
record_format | Article |
series | BMC Surgery |
spelling | doaj.art-64977936e5bb4af1943b0f741d43f6892023-03-22T10:18:07ZengBMCBMC Surgery1471-24822023-03-012311610.1186/s12893-023-01944-5Multi-mode information fusion navigation system for robot-assisted vascular interventional surgeryShaoya Guan0Tianqi Li1Cai Meng2Limei Ma3School of Engineers, Beijing Institute of Petrochemical TechnologySchool of Information Engineering, Beijing Institute of Petrochemical TechnologySchool of Astronautics, Beihang UniversitySchool of Engineers, Beijing Institute of Petrochemical TechnologyAbstract Background Minimally invasive vascular intervention (MIVI) is a powerful technique for the treatment of cardiovascular diseases, such as abdominal aortic aneurysm (AAA), thoracic aortic aneurysm (TAA) and aortic dissection (AD). Navigation of traditional MIVI surgery mainly relies only on 2D digital subtraction angiography (DSA) images, which is hard to observe the 3D morphology of blood vessels and position the interventional instruments. The multi-mode information fusion navigation system (MIFNS) proposed in this paper combines preoperative CT images and intraoperative DSA images together to increase the visualization information during operations. Results The main functions of MIFNS were evaluated by real clinical data and a vascular model. The registration accuracy of preoperative CTA images and intraoperative DSA images were less than 1 mm. The positioning accuracy of surgical instruments was quantitatively assessed using a vascular model and was also less than 1 mm. Real clinical data used to assess the navigation results of MIFNS on AAA, TAA and AD. Conclusions A comprehensive and effective navigation system was developed to facilitate the operation of surgeon during MIVI. The registration accuracy and positioning accuracy of the proposed navigation system were both less than 1 mm, which met the accuracy requirements of robot assisted MIVI.https://doi.org/10.1186/s12893-023-01944-5Navigation systemVascular interventional surgeryMedical roboticsInterventional instrument positioningMedical image registration |
spellingShingle | Shaoya Guan Tianqi Li Cai Meng Limei Ma Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery BMC Surgery Navigation system Vascular interventional surgery Medical robotics Interventional instrument positioning Medical image registration |
title | Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery |
title_full | Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery |
title_fullStr | Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery |
title_full_unstemmed | Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery |
title_short | Multi-mode information fusion navigation system for robot-assisted vascular interventional surgery |
title_sort | multi mode information fusion navigation system for robot assisted vascular interventional surgery |
topic | Navigation system Vascular interventional surgery Medical robotics Interventional instrument positioning Medical image registration |
url | https://doi.org/10.1186/s12893-023-01944-5 |
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