Phase-aligned multiple spin-echo averaging: a simple way to improve signal-to-noise ratio of in vivo mouse spinal cord diffusion tensor image.

摘要: Abstract Purpose To improve signal-noise-ratio of in vivo mouse spinal cord diffusion tensor imaging using-phase aligned multiple spin-echo technique. Material and methods In maps generated by conventional weighting were examined to demonstrate the efficacy sequence image quality throughput. Effects signal averaging using complex, magnitude phased images from also assessed. Bayesian probability theory was used generate moving coherent signals real channel eliminate effect phase variation between echoes while preserving Gaussian noise distribution. Signal potentially solves both incoherence problem bias elevated Rician distribution image. The proposed with phase-aligned approach compared data acquired doubling scan time. parameters contusion injury. Significance level (p-value) size (Cohen’s d) reported control contused inspect sensitivity each detecting white matter pathology. Results Compared image, increased 1.84-fold 1.30-fold matter. Multiple showed improved among tested methods. Diffusion metrics obtained three two averages closely agreed those derived four (two times more acquisition time). correctly reflected pathological features Conclusion Our results indicate that yields an 84% increase over a 41% gain averaged equal Current animal model injury suggest could be signal-noise-ratio.