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Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease
Preprocedural planning and periprocedural guidance based on image fusion are widely established techniques supporting the interventional treatment of structural heart disease. However, these two techniques are typically used independently. Previous works have already demonstrated the benefits of int...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620519/ https://www.ncbi.nlm.nih.gov/pubmed/36324746 http://dx.doi.org/10.3389/fcvm.2022.931959 |
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author | Bertsche, Dagmar Rottbauer, Wolfgang Rasche, Volker Buckert, Dominik Markovic, Sinisa Metze, Patrick Gonska, Birgid Luo, Erfei Dahme, Tillman Vernikouskaya, Ina Schneider, Leonhard M. |
author_facet | Bertsche, Dagmar Rottbauer, Wolfgang Rasche, Volker Buckert, Dominik Markovic, Sinisa Metze, Patrick Gonska, Birgid Luo, Erfei Dahme, Tillman Vernikouskaya, Ina Schneider, Leonhard M. |
author_sort | Bertsche, Dagmar |
collection | PubMed |
description | Preprocedural planning and periprocedural guidance based on image fusion are widely established techniques supporting the interventional treatment of structural heart disease. However, these two techniques are typically used independently. Previous works have already demonstrated the benefits of integrating planning details into image fusion but are limited to a few applications and the availability of the proprietary tools used. We propose a vendor-independent approach to integrate planning details into periprocedural image fusion facilitating guidance during interventional treatment. In this work, we demonstrate the feasibility of integrating planning details derived from computer tomography and magnetic resonance imaging into periprocedural image fusion with open-source and commercially established tools. The integration of preprocedural planning details into periprocedural image fusion has the potential to support safe and efficient interventional treatment of structural heart disease. |
format | Online Article Text |
id | pubmed-9620519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96205192022-11-01 Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease Bertsche, Dagmar Rottbauer, Wolfgang Rasche, Volker Buckert, Dominik Markovic, Sinisa Metze, Patrick Gonska, Birgid Luo, Erfei Dahme, Tillman Vernikouskaya, Ina Schneider, Leonhard M. Front Cardiovasc Med Cardiovascular Medicine Preprocedural planning and periprocedural guidance based on image fusion are widely established techniques supporting the interventional treatment of structural heart disease. However, these two techniques are typically used independently. Previous works have already demonstrated the benefits of integrating planning details into image fusion but are limited to a few applications and the availability of the proprietary tools used. We propose a vendor-independent approach to integrate planning details into periprocedural image fusion facilitating guidance during interventional treatment. In this work, we demonstrate the feasibility of integrating planning details derived from computer tomography and magnetic resonance imaging into periprocedural image fusion with open-source and commercially established tools. The integration of preprocedural planning details into periprocedural image fusion has the potential to support safe and efficient interventional treatment of structural heart disease. Frontiers Media S.A. 2022-10-17 /pmc/articles/PMC9620519/ /pubmed/36324746 http://dx.doi.org/10.3389/fcvm.2022.931959 Text en Copyright © 2022 Bertsche, Rottbauer, Rasche, Buckert, Markovic, Metze, Gonska, Luo, Dahme, Vernikouskaya and Schneider. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cardiovascular Medicine Bertsche, Dagmar Rottbauer, Wolfgang Rasche, Volker Buckert, Dominik Markovic, Sinisa Metze, Patrick Gonska, Birgid Luo, Erfei Dahme, Tillman Vernikouskaya, Ina Schneider, Leonhard M. Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
title | Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
title_full | Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
title_fullStr | Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
title_full_unstemmed | Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
title_short | Computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
title_sort | computed tomography angiography/magnetic resonance imaging-based preprocedural planning and guidance in the interventional treatment of structural heart disease |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620519/ https://www.ncbi.nlm.nih.gov/pubmed/36324746 http://dx.doi.org/10.3389/fcvm.2022.931959 |
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