Deep learning-based chemical shift-artifact correction of ZTE MRI for enhanced bone assessment of the lumbar spine
Author Block: C. Obermüller1, U. Bach1, F. Zecca2, F. Heidt1, M. Lohezic1, R. Guggenberger3, E. Burian1, J. Kroschke1, F. Ensle1; 1Zürich/CH, 2L'Aquila/IT, 3Winterthur/CH
Purpose: To assess the impact of deep learning-based (DL) chemical shift-artifact correction (CSC) on bone assessment in zero echo time (ZTE) MRI of the lumbar spine, compared to non-DL and DL-reconstructions. ZTE is a bone-specific MRI sequence suffering from CS artifacts, particularly in the spine and at 3T.
Methods or Background: This retrospective study included 60 clinical patients with ZTE lumbar spine MRI at 3T. Raw k-space data was reconstructed offline with a prototype DLCSC algorithm (specifically designed for CS reduction), prototype DL algorithm without artifact correction and non-DL technique. Quantitative image sharpness was plotted with line profiles over vertebrae L2-4, analysed with repeated-measures ANOVA. Two radiologists assessed qualitative pathology-related criteria (pathology type, conspicuity, impact of artifacts, diagnostic confidence, n = 22) and diagnostic image quality (cortical and trabecular bone delineation, noise, artifacts, n = 38) using a 4-point scale. Ordinal data was analysed using the Friedman test and weighted Cohen's kappa.
Results or Findings: For quantitative sharpness, the mean score for DLCSC (0.388) was significantly higher than for non-DL (0.269; post-hoc p = .010) and DL (0.247; post-hoc p = .001). For the qualitative assessment, mean scores consistently improved from non-DL to DL to DLCSC, respectively: Diagnostic Image Quality (p < 0.001): means were 0.95, 1.63, and 2.37. Pathology Conspicuity (p < 0.001): means were 1.27, 1.82, and 2.18. Diagnostic Confidence (p < 0.001): means were 1.86, 2.32, and 2.59. Image Noise (p < 0.001): means were 1.18, 1.76, and 2.55. Inter-reader agreement for the qualitative assessment was moderate (k=0.45-0.6).
Conclusion: The DLCSC technique significantly enhanced bone assessment of the lumbar spine, compared to DL and non-DL reconstructions, including the evaluation of pathologies. This advancement extends the utility of ZTE for comprehensive spine imaging.
Limitations: Modest sample size
Funding for this study: No funding was received for this study (Basec-Nr 2021-02408).
Has your study been approved by an ethics committee? Yes
Ethics committee - additional information: This study received Ethics Committee approval.