Meeting Banner
Abstract #0860

Prospective 3D FatNav motion correction for 7T Terra

Krzysztof Klodowski1, Juraj Halabrin1, Iulius Dragonu2, and Chris Rodgers1
1Clinical Neurosciences, Wolfson Brain Imaging Centre, Cambridge, United Kingdom, 2Siemens Healthcare Limited, Frimley, United Kingdom


Ultra-high field (7T) imaging can deliver images of brain structure and function at previously inaccessible spatial resolutions down to ~100um. However, subject motion, particularly for patients causes blurring which can lose some of the benefit of 7T imaging. The 3D FatNav approach to motion correction embeds short fat-excitation imaging modules in dead-time in an MRI pulse sequence. We are developing a prospective FatNav module for Siemens 7T Terra scanners. We present here a prospective FatNav module that embeds FatNav into a host pulse sequence, that separates FatNav and main image data during online reconstruction, that computes motion updates and that applies these in GRE imaging sequence in real time.

This abstract and the presentation materials are available to members only; a login is required.

Join Here