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3D Plastronics Culture Chambers and Benchtop MRI Setup Toward Tissue Engineering Applications
Valernst Martial Gilmus1, Yilbert Gimenez1,2, Tony Gerges1
1Univ Lyon, Université Claude Bernard Lyon 1, INSA Lyon, Ecole Centrale de Lyon, CNRS, Ampère, UMR5005, Villeurbanne, France.
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The rise of low-field benchtop MRI offers exciting opportunities for non-invasive, volumetric imaging of large biofabricated tissues in standard tissue engineering labs. Although low-field benchtop MRI scanners provide a cost-effective and accessible option, their performance is often restricted by low signal-to-noise ratio (SNR) and the use of generic, non-optimized hardware. This study introduces a novel, fully integrated benchtop MRI setup for in situ imaging of 3D bioprinted constructs. A custom perfusion culture chamber was designed and fabricated using 3D Plastronics, a method that allows for the direct integration of a bridged loop-gap resonator (BLGR) onto the chamber's surface. The performance of this integrated setup was quantitatively compared to a conventional setup using a commercial, all-purpose coil. The evaluation included measurements of the quality factor (Q), noise factor (F), SNR, and B1 + field mapping. The practical application was demonstrated by high-resolution imaging of a 3D bioprinted hydrogel scaffold under perfusion. The 3D Plastronics setup demonstrated superior performance over the commercial coil setup, achieving a 60% increase in measured SNR, which was consistent with theoretical predictions. This improvement was attributed mainly to a higher filling factor due to the coil's proximity to the sample, enabled by the 3D Plastronics approach. B1 + field maps also indicated higher mean field strength and improved homogeneity for the integrated coil due to its optimized design. High-resolution (234 m3) images of the bioprinted scaffold clearly displayed its internal macroporous structure, in 20 min. Integrating radio frequency (RF) coils directly onto a culture chamber with 3D Plastronics greatly enhances imaging performance in low-field MRI for tissue engineering. This method offers a scalable, customizable platform for nondestructive, long-term monitoring of 3D tissue constructs and opens new possibilities for in situ studies of tissue development.

