Deep hashing for global registration of preoperative CT and video images for laparoscopic liver surgery.

ABSTRACT:

Purpose

Registration of computed tomography (CT) to laparoscopic video images is vital to enable augmented reality (AR), a technology that holds the promise of minimising the risk of complications during laparoscopic liver surgery. Although several solutions have been presented in the literature, they always rely on an accurate initialisation of the registration that is either obtained manually or automatically estimated on very specific views of the liver. These limitations pose a challenge to the clinical translation of AR.

Methods

We propose the use of a content-based image retrieval (CBIR) framework to obtain an automatic robust initialisation to the registration. Instead of directly registering video and CT, we render a dense set of possible views of the liver from CT a

SUBMITTER: Zhang H 

PROVIDER: S-EPMC12226707 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature