Trong-Kha Truong1, Arnaud Guidon1
1Brain Imaging and Analysis Center, Duke University, Durham, NC, United States
In multi-shot spiral diffusion tensor imaging, subject motion causes phase errors among different shots, leading to signal loss and aliasing artifacts. A novel method is proposed to inherently correct for these errors without requiring a variable-density spiral trajectory or a navigator echo. This method uses a sensitivity encoding reconstruction algorithm to estimate the phase error for each shot and a conjugate gradient algorithm to correct for them. In vivo experiments were performed to demonstrate that it can inherently and efficiently correct for phase errors caused by rigid and nonrigid motion, without increasing the scan time or reducing the signal-to-noise ratio.