- Poster presentation
- Open Access
Projection imaging of myocardial perfusion: minimizing the subendocardial dark-rim artifact
© Sharif et al; licensee BioMed Central Ltd. 2012
- Published: 1 February 2012
- Myocardial Perfusion
- Projection Imaging
- Myocardial Perfusion Scan
- Interleave Scheme
- Cartesian Image
We demonstrate that projection imaging of first-pass myocardial perfusion is robust to a major cause of the so-called subendocardial dark-rim artifact (DRA); thereby proposing radial k-space sampling as the preferred acquisition scheme for DRA-free perfusion imaging.
Current methods for clinical myocardial perfusion (MP) imaging suffer from image artifacts, specifically the so-called subendocardial dark-rim artifact (DRA) [1–3]. DRAs are especially limiting since they can reduce the sensitivity/specificity of detecting subendocardial MP deficits; hence, eliminating such artifacts remains an active area of research . In this work, we demonstrate that projection imaging of MP is free of Gibbs ringing , a major cause of DRAs for conventional schemes.
Recently, a major approach for eliminating the DRAs has been to improve the spatial resolution and thereby reducing Gibbs ringing [1, 6]. In this work, we demonstrated that projection imaging is inherently robust to Gibbs ringing. We conclude that an alternative strategy (besides increasing the resolution) is to employ projection imaging (radial trajectories). The presented results were limited to rest scans, although we expect the same properties to hold for stress imaging. However, to match the high resolutions achieved in advanced Cartesian schemes (e.g., ), rate 2 parallel imaging acceleration is not sufficient and constrained highly-accelerated reconstruction will be needed.
Grant sponsors: American Heart Association Postdoctoral Fellowship Award 11POST7390063 (PI: B. Sharif); National Institutes of Health grants nos. NHLBI HL38698 (PI: D. Li) and NHLBI HL091989 (PI: R. Dharmakumar).
This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.