Synopsis
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466-04-007
ISMRM Abstract
Improving MRI of in vivo subjects through 3D-printed passive shims
Accepted
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1. Yue-fen Zou, et al. (2015). Evaluation of MR issues for the latest standard brands of orthopedic metal implants: Plates and screws. European Journal of Radiology 84, p 450-457. DOI: 10.1016/j.ejrad.2014.12.001 [doi]
2. Tsukimura, I., et al. (2017). Assessment of magnetic field interactions and radiofrequency-radiation-induced heating of metallic spinal implants in 7 T field. J. Orthop. Res., 35: 1831-1837. DOI: 10.1002/jor.23464 [doi]
3. Ebraheim Nabil, et al. (1992). Magnetic Resonance Imaging After Pedicular Screw Fixation of the Spine. Clinical Orthopaedics and Related Research 279, p 133-137. PMID: 1600647 [pmid]
4. Heinrich, A., et al. (2021). MRI following scoliosis surgery? An analysis of implant heating, displacement, torque, and susceptibility artifacts. Eur Radiol 31, p 4298–4307. DOI: 10.1007/s00330-020-07546-6 [doi]
5. Meneses, B.P., et al. (2022). Shim coils tailored for correcting B0 inhomogeneity in the human brain (SCOTCH): Design methodology and 48-channel prototype assessment in 7-Tesla MRI. Neuroimage 261, 119498. DOI: 10.1016/j.neuroimage.2022.119498 [doi]
6. Meneses, B.P., & Amadon, A. (2021). A fieldmap-driven few-channel shim coil design for MRI of the human brain. Physics in medicine and biology 66(1), 015001. DOI: 10.1088/1361-6560/abc810 [doi]
7. Stockmann, J. P., et al. (2016). A 32-channel combined RF and B0 shim array for 3T brain imaging. Magnetic resonance in medicine 75(1), p 441–451. DOI: 10.1002/mrm.25587 [doi]
8. Mary Adjeiwaah, et al. (2019). Dosimetric Impact of MRI Distortions: A Study on Head and Neck Cancers. International Journal of Radiation Oncology*Biology*Physics 103, p 994-1003. DOI: 10.1016/j.ijrobp.2018.11.037 [doi]
9. Stockmann, J. P., & Wald, L. L. (2018). In vivo B0 field shimming methods for MRI at 7T. NeuroImage, 168, 71–87. DOI: 10.1016/j.neuroimage.2017.06.013 [doi]
10. Koch, K. M., et al. (2006). Sample-specific diamagnetic and paramagnetic passive shimming. Journal of magnetic resonance 182(1), p 66–74. DOI: 10.1016/j.jmr.2006.06.013 [doi]
11. Bungert, A., et al. Reducing image artefacts in concurrent TMS/fMRI by passive shimming. NeuroImage 59, p 2167-2174. DOI: 10.1016/j.neuroimage.2011.10.013 [doi]
12. James, L., Jezzard, P. (2003). Utilization of an intra-oral diamagnetic passive shim in functional MRI of the inferior frontal cortex. Magnetic resonance in medicine 50, p 1089-1094. DOI: 10.1002/mrm.10626 [doi]
13. Vanduffel et al. (2024). 3D printing of ferromagnetic passive shims for field shaping in magnetic resonance imaging. Journal of magnetic resonance, 363. DOI: 10.1016/j.jmr.2024.107702 [doi]
14. Egea, J.A., et al. (2014). MEIGO: an open-source software suite based on metaheuristics for global optimization in systems biology and bioinformatics. BMC Bioinformatics 15, p 136. DOI: 10.1186/1471-2105-15-136 [doi]
Cite this abstract
http://echo.ismrm.org/p/ISMRM2026/466-04-007