Targeting accuracy under model-to-subject misalignments in model-guided cardiac surgery

8Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In image-guided interventions, anatomical models of organs are often generated from pre-operative images and further employed in planning and guiding therapeutic procedures. However, the accuracy of these models, along with their registration to the subject are crucial for successful therapy delivery. These factors are amplified when manipulating soft tissue undergoing large deformations, such as the heart. When used in guiding beating-heart procedures, pre-operative models may not be sufficient for guidance and they are often complemented with real-time, intra-operative cardiac imaging. Here we demonstrate via in vitro endocardial "therapy" that ultrasound-enhanced model-guided navigation provides sufficient guidance to preserve a clinically-desired targeting accuracy of under 3 mm independently of the model-to-subject misregistrations. These results emphasize the direct benefit of integrating real-time imaging within intra-operative visualization environments considering that model-to-subject misalignments are often encountered clinically. © 2009 Springer-Verlag.

Cite

CITATION STYLE

APA

Linte, C. A., Moore, J., Wiles, A. D., Wedlake, C., & Peters, T. M. (2009). Targeting accuracy under model-to-subject misalignments in model-guided cardiac surgery. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5761 LNCS, pp. 361–368). https://doi.org/10.1007/978-3-642-04268-3_45

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free