Visualization in 2D/3D registration matters for assuring technology-assisted image-guided surgery.

ABSTRACT:

Purpose

Image-guided navigation and surgical robotics are the next frontiers of minimally invasive surgery. Assuring safety in high-stakes clinical environments is critical for their deployment. 2D/3D registration is an essential, enabling algorithm for most of these systems, as it provides spatial alignment of preoperative data with intraoperative images. While these algorithms have been studied widely, there is a need for verification methods to enable human stakeholders to assess and either approve or reject registration results to ensure safe operation.

Methods

To address the verification problem from the perspective of human perception, we develop novel visualization paradigms and use a sampling method based on approximate posterior distribution to simulate registration

SUBMITTER: Cho SM 

PROVIDER: S-EPMC10986429 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature