- Poster presentation
- Open Access
DANTE preparation for black-blood coronary wall imaging
© Wang et al; licensee BioMed Central Ltd. 2013
- Published: 30 January 2013
- Black Blood
- Double Inversion Recovery
- Wall Signal
- Coronary Artery Imaging
- Coronary Wall
Double inversion recovery (DIR) pre-pulses combined with ECG gating are often used  in black blood imaging. However, the inversion time is often too long. Also, the blood suppression is often insufficient in multi-slice studies. DANTE is a novel black-blood technique that has been shown to maintain SNR and CNR similar to single-slice DIR in ungated carotid artery studies  and is compatible with multi-slice acquisition. In this study, we combined DANTE pulses with gating and tested the performance for coronary wall imaging.
Experiments were performed on a Siemens 3T Tim Trio scanner with a 32 channel coil array. Four volunteers (age 26-29) were tested with a multi-slice spiral gradient echo sequence with ECG gating. The sequence consisted of a 5ms spectral-spatial excitation pulse followed by a 16ms constant density spiral readout gradient. FOV = 240-340mm, 14-20 interleaves, 3 slices, each with 5mm, inplane resolution 0.7-0.9mm. DANTE prepulses were placed before the imaging readout with spacing = 0.6ms and flip angle = 7. A similar sequence with double inversion pre-pulses was used for comparison.
The mean SNR and CNR of the coronary wall was 14.9+/-3.8 and 5.5+/-3.1 for images with DANTE pulses, and 16.7+/-3.7 and 5.1+/-3.0 for DIR prepared images. DIR achieved a slightly higher SNR but lower CNR because of unsuppressed blood induced by the short TI (p<0.05).
We have developed a cardiac-gated DANTE black blood technique for coronary artery imaging. DANTE pulses give comparable SNR to double inversion recovery, but with more flexible imaging. This method can be adapted for other black blood cardiac applications.
This study was funded by NIH R01 HL079110 and Siemens Medical Solutions.
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.