High-resolution contrast-enhanced MRI of atherosclerosis with digital cardiac and respiratory gating in mice
✍ Scribed by Hasan Alsaid; Maher Sabbah; Zakaria Bendahmane; Odette Fokapu; Jacques Felblinger; Catherine Desbleds-Mansard; Claire Corot; André Briguet; Yannick Crémillieux; Emmanuelle Canet-Soulas
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 426 KB
- Volume
- 58
- Category
- Article
- ISSN
- 0740-3194
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✦ Synopsis
Abstract
Atherosclerosis initially develops predominantly at the aortic root and carotid origin, where effective visualization in mice requires efficient cardiac and respiratory gating. The present study sought to first compare the high‐resolution MRI gating performance of two digital gating strategies using: 1) separate cardiac and respiratory signals (double‐sensor); and 2) a single‐sensor cardiorespiratory signal (ECG demodulation), and second, to apply an optimized processing technique to dynamic contrast‐enhanced (CE) carotid origin vessel‐wall imaging in mice. High‐resolution MR mouse heart and aortic arch images were acquired by ECG signal detection, digital signal processing, and gating signal generation modeled using Simulink (MathWorks, USA). Double‐sensor gating used a respiratory sensor while single‐sensor gating used breathing‐modulated ECG to generate a demodulated respiratory signal. Pre‐ and postcontrast T~1~‐weighted images were acquired to evaluate vessel‐wall enhancement with a gadolinium blood‐pool agent (P792; Guerbet, France) at the carotid origin in vivo in ApoE^−/−^ and C57BL/6 mice, using the optimized cardiorespiratory gating processing technique. Both strategies provided images with improved spatial resolution, less artifacts, and 100% correct transistor‐to‐transistor logic (TTL) signals. Image quality allowed vessel‐wall enhancement measurement in all the ApoE^−/−^ mice, with maximal (32%) enhancement 27 min postinjection. The study demonstrated the efficiency of both cardiorespiratory gating strategies for dynamic contrast‐enhanced vessel‐wall imaging. Magn Reson Med, 2007. © 2007 Wiley‐Liss, Inc.