Application of the limited-memory quasi-Newton algorithm for multi-dimensional, large flip-angle RF pulses at 7T

MAGMA. 2017 Feb;30(1):29-39. doi: 10.1007/s10334-016-0580-1. Epub 2016 Aug 2.

Abstract

Objective: Ultrahigh field MRI provides great opportunities for medical diagnostics and research. However, ultrahigh field MRI also brings challenges, such as larger magnetic susceptibility induced field changes. Parallel-transmit radio-frequency pulses can ameliorate these complications while performing advanced tasks in routine applications. To address one class of such pulses, we propose an optimal-control algorithm as a tool for designing advanced multi-dimensional, large flip-angle, radio-frequency pulses. We contrast initial conditions, constraints, and field correction abilities against increasing pulse trajectory acceleration factors.

Materials and methods: On an 8-channel 7T system, we demonstrate the quasi-Newton algorithm with pulse designs for reduced field-of-view imaging with an oil phantom and in vivo with scans of the human brain stem. We used echo-planar imaging with 2D spatial-selective pulses. Pulses are computed sufficiently rapid for routine applications.

Results: Our dataset was quantitatively analyzed with the conventional mean-square-error metric and the structural-similarity index from image processing. Analysis of both full and reduced field-of-view scans benefit from utilizing both complementary measures.

Conclusion: We obtained excellent outer-volume suppression with our proposed method, thus enabling reduced field-of-view imaging using pulse trajectory acceleration factors up to 4.

Keywords: MRI; Parallel transmit; RF pulse design; Ultrahigh field MRI.

MeSH terms

  • Algorithms
  • Brain Mapping
  • Brain Stem / diagnostic imaging*
  • Brain Stem / pathology
  • Echo-Planar Imaging
  • Humans
  • Image Enhancement
  • Image Processing, Computer-Assisted*
  • Magnetic Resonance Imaging*
  • Models, Statistical
  • Phantoms, Imaging
  • Radio Waves*
  • Reproducibility of Results