Improved 3D DESS MR neurography of the lumbosacral plexus with deep learning and geometric image combination reconstruction

Chhabra A, Kanchustambham P, Mogharrabi B, Ratakonda R, Gill K, Xi Y. MR Neurography of Lumbosacral Plexus: Incremental Value Over XR, CT, and MRI of L Spine With Improved Outcomes in Patients With Radiculopathy and Failed Back Surgery Syndrome. J Magn Reson Imaging. 2023;57:139–50.

Article  PubMed  Google Scholar 

Chhabra A, Rozen S, Scott K. Three-Dimensional MR Neurography of the Lumbosacral Plexus. Semin Musculoskel R. 2015;19:149–59.

Article  Google Scholar 

Sims GC, Boothe E, Joodi R, Chhabra A. 3D MR Neurography of the Lumbosacral Plexus: Obtaining Optimal Images for Selective Longitudinal Nerve Depiction. Am J Neuroradiol. 2016;37:2158–62.

Article  Google Scholar 

Kasper JM, Wadhwa V, Scott KM, Rozen S, Xi Y, Chhabra A. SHINKEI—a novel 3D isotropic MR neurography technique: technical advantages over 3DIRTSE-based imaging. Eur Radiol. 2015;25:1672–7.

Article  PubMed  Google Scholar 

Zhang Y, Kong X, Zhao Q, Liu X, Gu Y, Xu L. Enhanced MR neurography of the lumbosacral plexus with robust vascular suppression and improved delineation of its small branches. Eur J Radiol. 2020;129:109128.

Article  PubMed  Google Scholar 

Redpath TW, Jones RA. FADE–A new fast imaging sequence. Magn Reson Med. 1988;6:224–34.

Article  CAS  PubMed  Google Scholar 

Hu S, Li Y, Hou B, Zhang Y, Liu WV, Wu G, et al. Multi-echo in steady-state acquisition improves MRI image quality and lumbosacral radiculopathy diagnosis efficacy compared with T2 fast spin-echo sequence. Neuroradiology. 2023;65:969–77.

Article  PubMed  Google Scholar 

Hardy PA, Recht MP, Piraino D, Thomasson D. Optimization of a dual echo in the steady state (DESS) free-precession sequence for imaging cartilage. J Magn Reson Imaging. 1996;6:329–35.

Article  CAS  PubMed  Google Scholar 

Zochowski KC, Tan ET, Argentieri EC, Lin B, Burge AJ, Queler SC, et al. Improvement of peripheral nerve visualization using a deep learning-based MR reconstruction algorithm. Magn Reson Imaging. 2022;85:186–92.

Article  PubMed  Google Scholar 

Kim M, Kim HS, Kim HJ, Park JE, Park SY, Kim Y-H, et al. Thin-Slice Pituitary MRI with Deep Learning–based Reconstruction: Diagnostic Performance in a Postoperative Setting. Radiology. 2021;298:114–22.

Article  PubMed  Google Scholar 

Herrmann J, Koerzdoerfer G, Nickel D, Mostapha M, Nadar M, Gassenmaier S, et al. Feasibility and Implementation of a Deep Learning MR Reconstruction for TSE Sequences in Musculoskeletal Imaging. Diagnostics. 2021;11:1484.

Article  PubMed  PubMed Central  Google Scholar 

Ensle F, Kaniewska M, Tiessen A, Lohezic M, Getzmann JM, Guggenberger R. Diagnostic performance of deep learning–based reconstruction algorithm in 3D MR neurography. Skelet Radiol. 2023;52(12):2409–18.

Lebel RM. Performance characterization of a novel deep learning-based MR image reconstruction pipeline. 2020. https://arxiv.org/abs/2008.06559.

Sun S, Tan ET, Mintz DN, Sahr M, Endo Y, Nguyen J, et al. Evaluation of deep learning reconstructed high-resolution 3D lumbar spine MRI. Eur Radiol. 2022;32:6167–77.

Article  CAS  PubMed  Google Scholar 

Queler SC, Tan ET, Geannette C, Prince M, Sneag DB. Ferumoxytol-enhanced vascular suppression in magnetic resonance neurography. Skeletal Radiol. 2021;50:2255–66.

Article  PubMed  Google Scholar 

Delaney H, Bencardino J, Rosenberg ZS. Magnetic Resonance Neurography of the Pelvis and Lumbosacral Plexus. Neuroimag Clin N Am. 2014;24:127–50.

Article  Google Scholar 

Sneag DB, Daniels SP, Geannette C, Queler SC, Lin BQ, de Silva C, et al. Post-Contrast 3D Inversion Recovery Magnetic Resonance Neurography for Evaluation of Branch Nerves of the Brachial Plexus. Eur J Radiol. 2020;132:109304.

Article  PubMed  Google Scholar 

Harrell AD, Johnson D, Samet J, Omar IM, Deshmukh S. With or without? A retrospective analysis of intravenous contrast utility in magnetic resonance neurography. Skeletal Radiol. 2020;49:577–84.

Article  PubMed  Google Scholar 

Chhabra A, Subhawong TK, Bizzell C, Flammang A, Soldatos T. 3T MR neurography using three-dimensional diffusion-weighted PSIF: technical issues and advantages. Skeletal Radiol. 2011;40:1355–60.

Article  PubMed  Google Scholar 

Zhang Z, Meng Q, Chen Y, Li Z, Luo B, Yang Z, et al. 3-T imaging of the cranial nerves using three-dimensional reversed FISP with diffusion-weighted MR sequence. J Magn Reson Imaging. 2008;27:454–8.

Article  PubMed  Google Scholar 

Gras V, Farrher E, Grinberg F, Shah NJ. Diffusion-weighted DESS protocol optimization for simultaneous mapping of the mean diffusivity, proton density and relaxation times at 3 Tesla. Magn Reson Med. 2017;78:130–41.

Article  CAS  PubMed  Google Scholar 

Hwang L, Dessouky R, Xi Y, Amirlak B, Chhabra A. MR Neurography of Greater Occipital Nerve Neuropathy: Initial Experience in Patients with Migraine. Am J Neuroradiol. 2017;38:2203–9.

Article  CAS  PubMed  PubMed Central  Google Scholar 

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