Abstract #0367

Gatehouse P, Yang G, Firmin D, Keegan J

Current methods of correcting coronary artery scans for respiratory motion rely on navigator-based motion models developed from a calibrating pre-scan. As an alternative, we propose a non-model based post-processing approach to respiratory correction using the cross-correlation of low resolution 3d spiral fat-selective images which are acquired on every cardiac cycle immediately prior to the data segment contrbuting to the high resolution image. We have demonstrated the feasibility of this approach with 3d spiral coronary artery vessel wall scanning where high quality images have been obtained with 100% respiratory efficiency.