A data-driven approach for real-time soft tissue deformation prediction using nonlinear presurgical simulations.

ABSTRACT: A method that allows a fast and accurate registration of digital tissue models obtained during preoperative, diagnostic imaging with those captured intraoperatively using lower-fidelity ultrasound imaging techniques is presented. Minimally invasive surgeries are often planned using preoperative, high-fidelity medical imaging techniques such as MRI and CT imaging. While these techniques allow clinicians to obtain detailed 3D models of the surgical region of interest (ROI), various factors such as physical changes to the tissue, changes in the body's configuration, or apparatus used during the surgery may cause large, non-linear deformations of the ROI. Such deformations of the tissue can result in a severe mismatch between the preoperatively obtained 3D model and the real-time image data ac

SUBMITTER: Liu H 

PROVIDER: S-EPMC11996222 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature