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Diffusion effect on T2 relaxometry in triple-echo steady state free precession sequence.

Yangzi Qiao1, Chao Zou1, Chuanli Cheng2

  • 1Paul C Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, People's Republic of China.

Journal of Magnetic Resonance (San Diego, Calif. : 1997)
|May 15, 2018
PubMed
Summary
This summary is machine-generated.

Diffusion significantly impacts Steady-state Free Precession (SSFP) signals in triple-echo steady state (TESS) sequences, leading to T2 underestimation. A proposed correction scheme effectively addresses this diffusion effect for accurate T2 relaxometry.

Keywords:
Diffusion effectExtended phase graph (EPG) algorithmT2 quantificationTriple-echo steady state (TESS) free precession sequence

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Area of Science:

  • Magnetic Resonance Imaging (MRI)
  • Biophysics
  • Medical Physics

Background:

  • Steady-state Free Precession (SSFP) sequences are widely used in MRI.
  • Accurate T2 relaxometry is crucial for quantitative MRI.
  • The influence of diffusion on SSFP signals is not fully understood.

Purpose of the Study:

  • To evaluate the effect of diffusion on SSFP signals within the triple-echo steady state (TESS) sequence.
  • To assess the impact of diffusion on the accuracy of T2 relaxometry using TESS.
  • To develop methods for correcting diffusion-induced errors in T2 quantification.

Main Methods:

  • Utilized the extended phase graph (EPG) algorithm for simulating SSFP signals under varying diffusion conditions.
  • Validated simulation results using a commercial phantom and in vivo MRI studies.
  • Developed and tested a correction scheme to mitigate T2 underestimation caused by diffusion.

Main Results:

  • Diffusion was found to cause significant T2 underestimation in TESS, particularly with small flip angles and large unbalanced gradient moments.
  • The T2 underestimation was primarily attributed to the diffusion sensitivity of SSFP-echoes.
  • The proposed correction scheme successfully corrected T2 underestimation, confirming the role of diffusion effects.
  • Diffusion effects were deemed negligible in TESS for tissues with short T2, like cartilage and muscle.

Conclusions:

  • Diffusion effects are a primary source of T2 underestimation in TESS T2 quantification, especially under specific sequence parameters (small flip angle, large unbalanced gradient moment).
  • Neglecting diffusion can lead to inaccurate T2 values, particularly in tissues with high T2 and diffusion coefficients.
  • The developed correction scheme provides a method to improve the accuracy of T2 relaxometry in TESS sequences.