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Functional lung imaging with transient spoiled gradient echo.

Grzegorz Bauman1,2, Orso Pusterla1,2, Oliver Bieri1,2

  • 1Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland.

Magnetic Resonance in Medicine
|October 23, 2018
PubMed
Summary
This summary is machine-generated.

Transient spoiled gradient echo (tSPGR) provides an alternative for lung function assessment at 3 Tesla MRI. This method enables effective perfusion and ventilation imaging when balanced SSFP is limited.

Keywords:
Fourier decompositionlung MRIlung functionmatrix penciltransient spoiled gradient echo

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Area of Science:

  • Magnetic Resonance Imaging
  • Pulmonary Function Assessment
  • Medical Imaging Physics

Background:

  • Assessing lung perfusion and ventilation at 3 Tesla (3T) MRI presents challenges.
  • Existing methods like ultrafast balanced SSFP (uf-bSSFP) have limitations at higher field strengths.
  • There is a need for alternative imaging frameworks for comprehensive lung function evaluation.

Purpose of the Study:

  • To introduce and evaluate transient spoiled gradient echo (tSPGR) as an alternative imaging framework for lung perfusion and ventilation at 3T.
  • To optimize tSPGR sequence parameters for maximal signal intensity in lung tissue.
  • To compare tSPGR performance against contemporary SPGR and uf-bSSFP techniques.

Main Methods:

  • Coronal 2D time-resolved lung image series were acquired in 5 healthy volunteers using tSPGR, SPGR, and uf-bSSFP at 1.5T and 3T.
  • Sequence parameters (TR, TE, RF spoiling, view ordering) were optimized for tSPGR.
  • Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were analyzed.
  • Matrix pencil decomposition was used to generate functional parameter maps (ventilation, perfusion, blood arrival time).

Main Results:

  • tSPGR achieved maximal signal intensity with minimal TR (0.99 ms) and TE (0.43 ms).
  • Optimized tSPGR showed a 30-40% SNR increase.
  • At 3T, tSPGR yielded higher average SNR (35.6) and CNR for ventilation (29.7) and perfusion (50.8) compared to SPGR (21.3 SNR, 22.4 vent CNR, 16.5 perf CNR).
  • uf-bSSFP at 3T showed higher SNR (31.2) but lower ventilation (16.5) and perfusion (11.3) CNR than optimized tSPGR.

Conclusions:

  • Transient spoiled gradient echo (tSPGR) is a viable alternative for lung function assessment at 3T MRI.
  • tSPGR provides robust perfusion and ventilation imaging, particularly when balanced SSFP is constrained.
  • Matrix pencil decomposition enhances functional parameter mapping with tSPGR acquisitions.