3D whole-kidney T(1) mapping using look-locker inversion recovery in conjunction with balanced SSFP readout and dictionary matching

Autor/innen

  • Wenyan Zhang
  • Zelong Chen
  • Quan Tao
  • Caixia Li
  • Jianping Wang
  • Yizhe Zhang
  • Di Xie
  • Jianhua Ma
  • Thoralf Niendorf
  • Yanqiu Feng

Journal

  • Magnetic Resonance in Medicine

Quellenangabe

  • Magn Reson Med

Zusammenfassung

  • PURPOSE: To develop and validate dual breath-hold Look-Locker inversion recovery (Dual 3DLL) MRI for 3D whole-kidney T(1) quantification using dictionary matching.

    METHODS: Dual 3DLL employs two breath-hold Look-Locker prepared acquisitions using nonselective adiabatic inversion in conjunction with 3D balanced SSFP readouts at three inversion times for each breath-hold. Retrospective registration of T(1)-weighted images was implemented to reduce misalignment between two breath-holds. For T(1) quantification, Bloch equation-based dictionary matching was applied. Dual 3DLL was validated in phantoms using inversion recovery spin-echo (IRSE) based T(1) mapping as a reference and in 11 healthy subjects, where 2D MOLLI-based renal T(1) mapping was used as a reference.

    RESULTS: Validation in the phantom showed an agreement between Dual 3DLL and IRSE (precision: coefficient of variation = 2.5%, relative error compared to IRSE: 4.3% ± 2.0%). The human feasibility study demonstrated the clinical applicability of Dual 3DLL. Averaged T(1) derived from whole-kidney coverage Dual 3DLL was in accordance with that of 2D MOLLI (renal cortex: T(1,Dual 3DLL) = 1413.41 ± 114.73 ms, T(1,MOLLI) = 1394.39 ± 58.01 ms; medulla: T(1,Dual 3DLL) = 1827.48 ± 108 ms, T(1,MOLLI) = 1843.67 ± 91.54 ms). The coefficients of variation between T(1) obtained from Dual 3DLL and MOLLI were 6.1% for the renal cortex and 4.4% for the medulla.

    CONCLUSION: This study demonstrates the feasibility of 3D whole kidney T(1) mapping using dual breath-hold Look-Locker T(1)-weighting in conjunction with balanced SSFP readouts and dictionary matching, and provides a technical foundation for improving our understanding of renal (patho-)physiology.


DOI

doi:10.1002/mrm.70321