Key result
Integrating preprocedural planning details derived from CT and MRI into periprocedural image fusion using open-source and commercial tools is feasible for structural heart disease interventions.
Why the study?
Preprocedural planning and periprocedural image fusion are typically used independently, with previous integration works limited to few applications and proprietary tools.
A vendor-independent approach can successfully integrate CT and MRI preprocedural planning details into periprocedural image fusion to guide structural heart disease interventions.
Vendor-independent planning-fusion integration may streamline structural interventions; leaves open prospective validation before clinical adoption.
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.
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Bertsche et al. (2022) studied Structural heart disease. Integration of preprocedural planning details derived from CT and MRI into periprocedural image fusion was evaluated on Feasibility of integrating planning details into periprocedural image fusion. Integrating preprocedural planning details derived from CT and MRI into periprocedural image fusion using open-source and commercial tools is feasible for structural heart disease interventions.
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