Automatic intra-subject registration and fusion of multimodal cochlea 3D clinical images.

ABSTRACT:

Background

The postoperative imaging assessment of Cochlear Implant (CI) patients is imperative. The main obstacle is that Magnetic Resonance imaging (MR) is contraindicated or hindered by significant artefacts in most cases with CIs. This study describes an automatic cochlear image registration and fusion method that aims to help radiologists and surgeons to process pre-and postoperative 3D multimodal imaging studies in cochlear implant (CI) patients.

Methods and findings

We propose a new registration method, Automatic Cochlea Image Registration (ACIR-v3), which uses a stochastic quasi-Newton optimiser with a mutual information metric to find 3D rigid transform parameters for registration of preoperative and postoperative CI imaging. The method was tested against a clinical

SUBMITTER: Al-Dhamari I 

PROVIDER: S-EPMC8890738 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature