Automatic rigid image Fusion of preoperative MR and intraoperative US acquired after craniotomy.

ABSTRACT:

Background

Neuronavigation of preoperative MRI is limited by several errors. Intraoperative ultrasound (iUS) with navigated probes that provide automatic superposition of pre-operative MRI and iUS and three-dimensional iUS reconstruction may overcome some of these limitations. Aim of the present study is to verify the accuracy of an automatic MRI - iUS fusion algorithm to improve MR-based neuronavigation accuracy.

Methods

An algorithm using Linear Correlation of Linear Combination (LC2)-based similarity metric has been retrospectively evaluated for twelve datasets acquired in patients with brain tumor. A series of landmarks were defined both in MRI and iUS scans. The Target Registration Error (TRE) was determined for each pair of landmarks before and after the automatic Rigi

SUBMITTER: Mazzucchi E 

PROVIDER: S-EPMC10099637 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature