Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
568-04-012 ISMRM Abstract

Clinical Validation of a 64-Channel Ultra-Flexible RF Coil for Prostate Cancer Detection

Accepted
Jesús Conejero1, Jana Vincent2, Victor Taracila2, María de la Luz Jurado Gómez3, José de Arcos, José M Algarín1, Edward Baus2, Arnaud Guidon4, Luis Martí-Bonmatí3, Leonor Cerdá-Alberich3, fraser robb2, Joseba Alonso1
1Institute for Molecular Imaging and Instrumentation (i3M), Consejo Superior de Investigaciones Científicas & Universitat Politècnica de València, Valencia, Spain
2GE HealthCare MR Coils, Aurora, United States of America
3Hospital Universitario y Politécnico La Fe, Valencia, Spain
4GE Healthcare MR Imaging, Waukesha, United States of America
Presenting Author: Luiz Guilherme C Santos

Synopsis

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References

1. Bum Soo Kim et al. “Comparison of pelvic phased-array versus endorectal coil magnetic resonance imaging at 3 Tesla for local staging of prostate cancer”. In: Yonsei medical journal 53.3 (2012), pgs. 550-556.
2. Grace Lee, Aytekin Oto, and Mihai Giurcanu. “Prostate MRI: is endorectal coil necessary?— a review”. In: Life 12.4 (2022), p. 569. DOI: 10.3390/life12040569. [doi]
3. Michael Perrotti et al. “Endo-rectal coil magnetic resonance imaging in clinically localized prostate cancer: is it accurate?” In: The Journal of urology 156.1 (1996), pp. 106–109. DOI: 10.1016/S0022-5347(01)65955-X. [doi]
4. Borna KBarth et al. “Comparison of image quality and patient discomfort in prostate MRI: pelvic phased array coil vs. endorectal coil”. In: Abdominal Radiology 41 (2016), pp. 2218 2226.
5. P. Rossman et al., Characterization of a new ultra-flexible low profile RF receive coil technology, Proceedings ISMRM 2017, 763.
6. S. Vasanawala et al., Development and Clinical implementation of very light weight and highly flexible Air technology arrays, Proceedings ISMRM 2017, 755.
7. “The NMR Phased Array” by Roemer et al. Magn Reson Med. 1990 Nov;16(2):192-225.
8. Feng, Li, et al. "Compressed sensing for body MRI." Journal of Magnetic Resonance Imaging 45.4 (2017): 966-987.
9. Ahn, Sangtae, et al. "Deep learning-based reconstruction of highly accelerated 3D MRI." arXiv preprint arXiv:2203.04674 (2022).
10. Gamito, Manuel N., and Steve C. Maddock. "Accurate multidimensional Poisson-disk sampling." ACM Transactions on Graphics (TOG) 29.1 (2009): 1-19.

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