- Poster presentation
- Open Access
High resolution, free-breathing coronary artery imaging with >99% respiratory efficiency
© Scott et al; licensee BioMed Central Ltd. 2010
Published: 21 January 2010
High-resolution coronary artery acquisitions are generally gated to end-expiration using navigators and have intrinsically low respiratory efficiency (RE), which is exacerbated by respiratory drift. Alternatively, epicardial fat can be used as a marker of coronary artery position in a 3D beat-to-beat non-model based subject-specific respiratory motion correction (B2B-RMC) technique. We propose this technique can acquire high-resolution coronary artery images with approximately 100% RE.
In-plane right coronary images were acquired in 10 subjects on a Siemens 1.5 T Avanto scanner. For B2B-RMC, a 3D low resolution spiral dataset with fat selective excitation was acquired every cardiac cycle immediately before 2 interleaves of a 3D high-resolution spiral dataset with water selective excitation. A following navigator was used to reject data at extreme respiratory positions (>10 mm outside normal range). Beat-to-beat respiratory displacement of the coronary artery was determined from the low resolution images using localized 3D normalized sub-pixel cross-correlation of fat around the coronary origin (relative to end-expiration) and used to retrospectively correct the corresponding high-resolution interleaves. Navigator gated (5 mm window) 3D balanced steady-state free-precession (nav-bSSFP) with T2-prep and identical resolution to the B2B-RMC technique was chosen for comparison.
For each B2B-RMC and nav-bSSFP dataset, a maximum intensity projection was generated with anatomy overlying the artery nulled. Average vessel diameter (full-width half maximum) and sharpness (inverse of 20-80% intensity distance) were measured in the proximal (0-20 mm) and mid (20-40 mm) arteries.
Average right coronary artery sharpness and diameter obtained using two imaging techiques
B2B-RMC (standard deviation)
nav-bSSFP (standard deviation)
High-resolution coronary artery images were acquired with 99.7% RE using B2B-RMC in 10 subjects. Diameter and sharpness in the proximal and mid vessel were not substantially different to values obtained with nav-bSSFP acquired with mean RE 40.7%. For optimal visualisation, the B2B-RMC method requires cross-correlation of a local region of fat, as demonstrated in (a) and (b). Further work will merge images corrected for both proximal and distal vessel motion to generate a single corrected dataset.