Lung parenchyma and structure visualisation in paediatric chest MRI: a comparison of different short and ultra-short

D Papp1, B Elders2, P A Wielopolski1

  • 1Department of Radiology and Nuclear Medicine, Erasmus Medical Centre, Rotterdam, the Netherlands.

Clinical Radiology
|February 6, 2023
PubMed
Abstract

Insights

Prospective zero echo-time 3D (ZTE3D) and ultra-short echo time 3D (UTE3D) magnetic resonance imaging (MRI) sequences provide the best lung image quality in children and adults. Retrospective ZTE3D (ZTE4D) sequences introduce artifacts that mimic lung pathology.

Area of Science:

  • Radiology
  • Medical Imaging
  • Pulmonary Imaging

Background:

  • Lung imaging with MRI is challenging due to respiratory motion.
  • Short and ultra-short echo time (TE) sequences aim to improve image quality by minimizing motion artifacts.

Purpose of the Study:

  • To evaluate and compare the image quality of various lung MRI sequences with different echo times and acquisition strategies.
  • To assess image quality in pediatric patients and healthy adult volunteers.

Main Methods:

  • Acquisition of 3D spoiled gradient (SPGR3D), 3D zero echo-time (ZTE3D), 3D UTE free-breathing (UTE3D), prospective ZTE3D navigated radial (ZTE3D vnav), and 4D ZTE (ZTE4D) sequences.
  • Quantitative assessment of contrast-to-noise ratio (CNR) and signal-to-noise ratio (SNR).
  • Qualitative scoring of intrapulmonary vessels, fissures, bronchi, noise, artifacts, and overall acceptability.

Main Results:

  • ZTE3D vnav demonstrated reliable image quality, though scan time varied with navigator efficiency.
  • Prospective ZTE3D and UTE3D sequences yielded the best image quality in both pediatric and adult subjects.
  • Retrospective ZTE3D (ZTE4D) resulted in diagnostic image quality issues, with artifacts mimicking lung pathology.

Conclusions:

  • Prospective ZTE3D and UTE3D are superior for pediatric and adult lung MRI.
  • Current retrospective ZTE3D implementations (ZTE4D) are not suitable for diagnostic lung imaging due to artifact generation.