Keywords: Artifacts, Phantoms, Diffusion, Metal, Spine
Motivation: Diffusion-MRI (dMRI) is increasingly used to evaluate neurological disorders and injuries of the spinal cord. Unfortunately, high-quality dMRI for post-surgical evaluation of the spinal cord is often limited due to the distortion artifacts from metal implants.
Goal(s): The goal of this work is to assist in the development of novel imaging protocols to overcome this challenge.
Approach: To do this, a cervical spine phantom was developed to replicate the spine’s geometric and MRI properties along with the image artifacts generated from metal implants.
Results: Preliminary data demonstrated that the model is helpful for visualizing and developing novel dMRI protocols near metal implants.
Impact: The proposed cervical spine phantom, designed to characterize the dMRI performance of the spinal cord post-surgery, including artifacts from metallic implants, is potentially helpful for developing novel imaging techniques for post-surgical spinal cord injuries.
This work is supported by Barrow Neurological Foundation.
[1] D. N. Loy, H. K. Joong, M. Xie, R. E. Schmidt, K. Trinkaus, and S. K. V. Song, “Diffusion tensor imaging predicts hyperacute spinal cord injury severity,” J Neurotrauma, vol. 24, no. 6, pp. 979–990, Jun. 2007, doi: 10.1089/neu.2006.0253.
[2] L. N. Tanenbaum, “Clinical Applications of Diffusion Imaging in the Spine,” Magnetic Resonance Imaging Clinics of North America, vol. 21, no. 2. pp. 299–320, May 2013. doi: 10.1016/j.mric.2012.12.002.
[3] J. Berman, “Diffusion MR Tractography As a Tool for Surgical Planning,” Magnetic Resonance Imaging Clinics of North America, vol. 17, no. 2. pp. 205–214, May 2009. doi: 10.1016/j.mric.2009.02.002.
[4] A. F. Choudhri, M. T. Whitehead, P. Klimo, B. K. Montgomery, and F. A. Boop, “Diffusion tensor imaging to guide surgical planning in intramedullary spinal cord tumors in children,” Neuroradiology, vol. 56, no. 2, pp. 169–174, Feb. 2014, doi: 10.1007/s00234-013-1316-9.
[5] G. McGibney, M. R. Smith, S. T. Nichols, and A. Crawley, “Quantitative evaluation of several partial fourier reconstruction algorithms used in mri,” Magn Reson Med, vol. 30, no. 1, pp. 51–59, 1993, doi: 10.1002/mrm.1910300109.
[6] K. M. Koch, S. Bhave, S. S. Kaushik, et al. “Multispectral diffusion-weighted MRI of the instrumented cervical spinal cord: A preliminary study of 5 cases,” Eur Spine J, 2019, doi: 10.1007/s00586-019-06239-z.
[7] B. J. Wilm, J. Svensson, A. Henning, K. P. Pruessmann, P. Boesiger, and S. S. Kollias, “Reduced field-of-view MRI using outer volume suppression for spinal cord diffusion imaging,” Magn Reson Med, vol. 57, no. 3, pp. 625–630, 2007, doi: 10.1002/mrm.21167.
[8] Z Li, M. B. Ooi, R. K.J. Murphy, J. P. Karis, R. D. Dortch. “Diffusion-weighted MRI of the spinal cord near metal implants: A rapid TSE approach with multispectral imaging and reduced field of view,” Proceedings of the 31st ISMRM annual meeting, 2023;1156.
[9] E. M. de Souza, E. T. Costa, and G. Castellano, “Phantoms for diffusion-weighted imaging and diffusion tensor imaging quality control: A review and new perspectives,” Research on Biomedical Engineering, vol. 33, no. 2. Brazilian Society of Biomedical Engineering, pp. 156–165, Jun. 01, 2017. doi: 10.1590/2446-4740.07816.
[10] I. Drobnjak, P. Neher, C. Poupon, and T. Sarwar, “Physical and digital phantoms for validating tractography and assessing artifacts,” Neuroimage, vol. 245, Dec. 2021, doi: 10.1016/j.neuroimage.2021.118704.
[11] S. Tounekti et al., “Metal Artifact Reduction Around Cervical Spine Implant Using Diffusion Tensor Imaging at 3T: A Phantom Study,” 2023, doi: 10.21203/rs.3.rs-2665952/v1.
[12] J. Rausch, M. Ruttorf, L.R. Schad, F.G. Zoellner. “Implementation of a diffusion tensor imaging phantom of the lumbar spinal cord,” Proceedings of the 32nd ESMRMB, 2015, S465-467.
[13] D. Mitsouras et al., “Three-dimensional printing of MRI-visible phantoms and MR image-guided therapy simulation,” Magn Reson Med, vol. 77, no. 2, pp. 613–622, Feb. 2017, doi: 10.1002/mrm.26136.
[14] J. Qiu et al., “Constructing Customized Multimodal Phantoms Through 3D Printing: A Preliminary Evaluation,” Front Phys, vol. 9, Apr. 2021, doi: 10.3389/fphy.2021.605630.
[15] A. Valladares, G. Oberoi, A. Berg, T. Beyer, E. Unger, and I. Rausch, “Additively manufactured, solid object structures for adjustable image contrast in Magnetic Resonance Imaging,” Z Med Phys, vol. 32, no. 4, pp. 466–476, Nov. 2022, doi: 10.1016/j.zemedi.2022.03.003.
[16] E. Fieremans, Y. D. Deene, S. Delputte, et al. “Simulation and experimental verification of the diffusion in an anisotropic fiber phantom,” J. Magn Reson, 2008;190:189-199, doi:10.1016/j.jmr.2007.10.014.
[17] C. Poupon, B. Rieul, I Kezele, et al. “New diffusion phantoms dedicated to the study and validation of high-angular-resolution diffusion imaging (HARDI) models,” Magn Reson Med, 2008;60:1276-1283, doi: 10.1002/mrm.21789.
[18] E. Farrher, J. Kaffanke, A. A. Celik, et al. “Novel multisection design of anisotropic diffusion phantoms,” Magn Reson Imaging, 2012;30:518-526, doi: 10.1016/j.mri.2011.12.012.
Figure 1: The cervical spine phantom developed in this study. The titanium anterior cervical plate with four screws was applied to the 3D-printed cervical spine model at level C4-C5. The model was submerged in sucrose agarose gels. A micro-fiber bundle (not visible in the picture) was inserted in the spinal canal, surrounded by water, to simulate spinal cord and CSF, respectively. The fiber bundle is removable, allowing for additional flexibility to conduct a variety of measurements.
Figure 2: The reference sagittal (a) and axial (b) T2-weighted (corresponding to the red boxes in the sagittal image) and axial (c~e) DW MRI images of the cervical spine phantom. Different phantom compartments can be observed, similar to the spine structure. The distortion artifacts were observed near the implants and became less visible further away from the metal. The distortion artifacts in the spinal cord in EPI (c) were minimized in TSE (d) and PROPELLER (e).
Figure 3: Sagittal images (b0, Trace, ADC, and FA map) at the central plane of the spine phantom (left). The observed image distortion on the spinal cord was visible near the implants in the ms-EPI image, while significantly reduced with ss-TSE and PROPELLER methods. The ellipses in the ADC maps indicated the ROIs for mean ADC and FA measurement. Similar distortion and signal artifact patterns were observed in the phantom and patient scans with the MSI technique. This demonstrates the phantom's ability to accurately capture relevant in vivo features for sequence testing.