journal article·2022-12Open access

Additive Manufacturing of Subject‐Conformal Receive Coils for Magnetic Resonance Imaging

Hanne Vanduffel, Cesar Parra‐Cabrera, Willy Gsell, Rodrigo Oliveira‐Silva, Louca Goossens, Ronald Peeters, Uwe Himmelreich, Brecht Van Hooreweder, Dimitrios Sakellariou, Wim Vanduffel, Rob Ameloot

Advanced Materials Technologies· Volume 7· Issue 12

Abstract

Abstract High signal‐to‐noise ratio (SNR) is crucial to obtaining high‐quality magnetic resonance (MR) images. However, a poor fit of fixed‐size radiofrequency (RF) coils to the subject often limits the SNR both in research and clinical magnetic resonance imaging (MRI) practice. Therefore, there is an urgent need to fabricate RF coils that exhibit a close geometrical fit (or are subject conformal) to the to‐be‐imaged region. A range of 3D printing methods are proposed for producing such conformal coils and overcoming constraints in geometrical complexity, production time, and cost. Laser powder bed fusion and stereolithography‐based methods are explored. The fully digital workflow allows for the seamless integration of electromagnetic simulations of geometrically complex coils, resulting in rapid design iterations. SNR gains up to 68% are observed for single 3D‐printed subject‐conformal coils compared to a state‐of‐the‐art commercially available (nonconformal) coil array. In addition to tests on phantoms, a conformal 3D‐printed coil is used to image the metacarpophalangeal joint of the thumb from a volunteer on an MRI scanner to demonstrate the improved image quality.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced MRI Techniques and Applications · Anatomy and Medical Technology · Soft Robotics and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Microbial and Molecular Systems (M ^{2}S) KU Leuven Centre for Membrane Separations Adsorption, Catalysis and Spectroscopy (cMACS) Celestijnenlaan 200 F Box 2454 Leuven 3000 Belgium

Department of Imaging and Pathology KU Leuven Biomedical MRI ON1 Herestraat 49 bus 505 Leuven 3000 Belgium

Mechanical Engineering Department KU Leuven Member of Flanders Make Celestijnenlaan 300 Leuven 3000 Belgium

Division of Radiology Universitair Ziekenhuis Gasthuisberg Leuven 3000 Belgium

Laboratory for Neuro‐ and Psychophysiology Department of Neurosciences KU Leuven ON2 Herestraat 49 bus 1021 Leuven 3000 Belgium

Leuven Brain Institute KU Leuven Leuven 3000 Belgium

Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown MA 02129 USA

Department of Radiology Harvard Medical School Boston MA 02144 USA

Funding

KU Leuven

References (51)

Show source-provided references
1. 10.1142/p75910.1142/p759 ↗
2. 10.1007/978-0-387-48896-710.1007/978-0-387-48896-7 ↗
3. 10.1016/j.neuroimage.2012.05.02810.1016/j.neuroimage.2012.05.028 ↗
4. 10.1118/1.59568210.1118/1.595682 ↗
5. 10.1118/1.59568210.1118/1.595682 ↗
6. J. R.Corea Diss. Theses ProQuest University of California Berkeley2018.
7. 10.1016/j.biochi.2003.09.01610.1016/j.biochi.2003.09.016 ↗
8. 10.1038/ncomms1083910.1038/ncomms10839 ↗
9. 10.1016/j.neuroimage.2017.06.01310.1016/j.neuroimage.2017.06.013 ↗
10. 10.1002/cmr.b.2002910.1002/cmr.b.20029 ↗
11. 10.1007/s00330-009-1674-110.1007/s00330-009-1674-1 ↗
12. Rodríguez A. O. · Rev. Mex. Fis. E · 2006 · 52 · 1
13. 10.1002/jmri.2618710.1002/jmri.26187 ↗
14. 10.1002/jmri.2225710.1002/jmri.22257 ↗
15. 10.1002/mrm.2484110.1002/mrm.24841 ↗
16. Chunli W. · 2009 · 465210.1109/CCDC.2009.5191835 ↗
17. 10.1002/mrm.2148810.1002/mrm.21488 ↗
18. 10.1002/mrm.2526010.1002/mrm.25260 ↗
19. 10.3389/fphy.2020.0008010.3389/fphy.2020.00080 ↗
20. 10.1038/s41598-021-95335-610.1038/s41598-021-95335-6 ↗
21. R.Kriegl PhD Thesis Medical University of Vienna‐ Université Paris‐Sud2014.
22. 10.3389/fphy.2019.0023710.3389/fphy.2019.00237 ↗
23. 10.1002/mrm.2296110.1002/mrm.22961 ↗
24. 10.1016/j.dcn.2020.10089310.1016/j.dcn.2020.100893 ↗
25. 10.1016/j.mri.2011.07.01010.1016/j.mri.2011.07.010 ↗
26. 10.1016/j.neuroimage.2021.11825610.1016/j.neuroimage.2021.118256 ↗
27. 10.1002/mrm.2324010.1002/mrm.23240 ↗
28. Malko J. A. · Am. J. Neuroradiol. · 1986 · 7 · 246
29. 10.1016/S1470-2045(20)30034-610.1016/S1470-2045(20)30034-6 ↗
30. 10.1002/mrm.2833610.1002/mrm.28336 ↗
31. 10.1002/nbm.297010.1002/nbm.2970 ↗
32. 10.1038/s41598-021-81833-010.1038/s41598-021-81833-0 ↗
33. 10.1002/mrm.2854010.1002/mrm.28540 ↗
34. 10.1016/j.addma.2021.10199010.1016/j.addma.2021.101990 ↗
35. 10.1063/1.114402010.1063/1.1144020 ↗
36. Wachowicz K. · Res. Rep. Nucl. Med. · 2014 · 4 · 1
37. 10.1002/mrm.2639910.1002/mrm.26399 ↗
38. 10.1016/j.progpolymsci.2019.03.00310.1016/j.progpolymsci.2019.03.003 ↗
39. 10.1016/j.addma.2021.10241710.1016/j.addma.2021.102417 ↗
40. 10.1007/s00170-014-6334-110.1007/s00170-014-6334-1 ↗
41. 10.1021/acs.analchem.7b0013610.1021/acs.analchem.7b00136 ↗
42. 10.1002/pssa.20190093510.1002/pssa.201900935 ↗
43. 10.1016/j.mtcomm.2018.12.01710.1016/j.mtcomm.2018.12.017 ↗
44. 10.1109/LMWC.2017.275009010.1109/LMWC.2017.2750090 ↗
45. 10.1039/978178262387810.1039/9781782623878 ↗
46. 10.1038/s41467-019-13993-710.1038/s41467-019-13993-7 ↗
47. 10.1115/1.402943510.1115/1.4029435 ↗
48. 10.1109/APUSNCURSINRSM.2017.807266510.1109/APUSNCURSINRSM.2017.8072665 ↗
49. 10.1148/radiographics.20.3.g00ma1989310.1148/radiographics.20.3.g00ma19893 ↗
50. 10.13104/imri.2020.24.3.9510.13104/imri.2020.24.3.95 ↗
51. 10.1002/jmri.2063510.1002/jmri.20635 ↗