Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT.

ABSTRACT:

Purpose

The registration of Laparoscopic Ultrasound (LUS) to CT can enhance the safety of laparoscopic liver surgery by providing the surgeon with awareness on the relative positioning between critical vessels and a tumour. In an effort to provide a translatable solution for this poorly constrained problem, Content-based Image Retrieval (CBIR) based on vessel information has been suggested as a method for obtaining a global coarse registration without using tracking information. However, the performance of these frameworks is limited by the use of non-generalisable handcrafted vessel features.

Methods

We propose the use of a Deep Hashing (DH) network to directly convert vessel images from both LUS and CT into fixed size hash codes. During training, these codes are learnt fro

SUBMITTER: Ramalhinho J 

PROVIDER: S-EPMC9307559 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature