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Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner

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Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner

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dc.contributor.author Algarín-Guisado, José Miguel es_ES
dc.contributor.author Díaz-Caballero, Elena es_ES
dc.contributor.author Borreguero-Morata, José es_ES
dc.contributor.author Galve, Fernando es_ES
dc.contributor.author Grau-Ruiz, Daniel es_ES
dc.contributor.author Rigla, Juan P. es_ES
dc.contributor.author Bosch-Esteve, Rubén es_ES
dc.contributor.author González-Hernández, José Manuel es_ES
dc.contributor.author Pallás, Eduardo es_ES
dc.contributor.author Corberán, Miguel es_ES
dc.contributor.author Gramage, Carlos es_ES
dc.contributor.author Aja-Fernández, Santiago es_ES
dc.contributor.author Ríos, Alfonso es_ES
dc.contributor.author Benlloch Baviera, Jose María es_ES
dc.contributor.author Alonso, Joseba es_ES
dc.date.accessioned 2021-11-05T12:57:44Z
dc.date.available 2021-11-05T12:57:44Z
dc.date.issued 2020-12-08 es_ES
dc.identifier.issn 2045-2322 es_ES
dc.identifier.uri http://hdl.handle.net/10251/176174
dc.description.abstract [EN] Magnetic Resonance Imaging (MRI) of hard biological tissues is challenging due to the fleeting lifetime and low strength of their response to resonant stimuli, especially at low magnetic fields. Consequently, the impact of MRI on some medical applications, such as dentistry, continues to be limited. Here, we present three-dimensional reconstructions of ex-vivo human teeth, as well as a rabbit head and part of a cow femur, all obtained at a field strength of 260 mT. These images are the first featuring soft and hard tissues simultaneously at sub-Tesla fields, and they have been acquired in a home-made, special-purpose, pre-medical MRI scanner designed with the goal of demonstrating dental imaging at low field settings. We encode spatial information with two pulse sequences: Pointwise-Encoding Time reduction with Radial Acquisition and a new sequence we have called Double Radial Non-Stop Spin Echo, which we find to perform better than the former. For image reconstruction we employ Algebraic Reconstruction Techniques (ART) as well as standard Fourier methods. An analysis of the resulting images shows that ART reconstructions exhibit a higher signal-to-noise ratio with a more homogeneous noise distribution. es_ES
dc.description.sponsorship We thank anonymous donors for their tooth samples, Andrew Webb and Thomas O'Reilly (LUMC) for discussions on hardware and pulse sequences, and Antonio Tristan (UVa) for information on reconstruction techniques. This work was supported by the European Commission under Grants 737180 (FET-OPEN: HISTO-MRI) and 481 (ATTRACT: DentMRI). Action co-financed by the European Union through the Programa Operativo del Fondo Europeo de Desarrollo Regional (FEDER) of the Comunitat Valenciana 2014-2020 (IDIFEDER/2018/022). Santiago Aja-Fernandez acknowledges Ministerio de Ciencia e Innovacion of Spain for research grant RTI2018-094569-B-I00. es_ES
dc.language Inglés es_ES
dc.publisher Nature Publishing Group es_ES
dc.relation.ispartof Scientific Reports es_ES
dc.rights Reconocimiento (by) es_ES
dc.title Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1038/s41598-020-78456-2 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/737180/EU/IN SITU IMAGING OF LIVING TISSUES WITH CELLULAR SPATIAL RESOLUTION/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//RTI2018-094569-B-I00//RESONANCIA MAGNETICA DE DIFUSION PARA MEDICINA PERSONALIZADA: DEL ANALISIS A LA PREDICCION. APLICACION AL ESTUDIO DE MIGRAÑA/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/GVA//IDIFEDER%2F2018%2F022//EQUIPOS PARA TECNICAS MIXTAS ELECTROMAGNETICAS-ULTRASONICAS PARA IMAGEN MEDICA/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation Algarín-Guisado, JM.; Díaz-Caballero, E.; Borreguero-Morata, J.; Galve, F.; Grau-Ruiz, D.; Rigla, JP.; Bosch-Esteve, R.... (2020). Simultaneous imaging of hard and soft biological tissues in a low-field dental MRI scanner. Scientific Reports. 10(1):1-14. https://doi.org/10.1038/s41598-020-78456-2 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1038/s41598-020-78456-2 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 14 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 10 es_ES
dc.description.issue 1 es_ES
dc.identifier.pmid 33293593 es_ES
dc.identifier.pmcid PMC7723060 es_ES
dc.relation.pasarela S\431221 es_ES
dc.contributor.funder European Commission es_ES
dc.contributor.funder Generalitat Valenciana es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
dc.contributor.funder European Regional Development Fund es_ES
dc.description.references Haacke, E. M. et al. Magnetic Resonance Imaging: Physical Principles and Sequence Design Vol. 82 (Wiley-liss, New York, 1999). es_ES
dc.description.references Bercovich, E. & Javitt, M. C. Medical imaging: from roentgen to the digital revolution, and beyond. Rambam Maimonides Med. J. 9, e0034. https://doi.org/10.5041/rmmj.10355 (2018). es_ES
dc.description.references Mastrogiacomo, S., Dou, W., Jansen, J. A. & Walboomers, X. F. Magnetic resonance imaging of hard tissues and hard tissue engineered bio-substitutes. Mol. Imag. Biol. 21, 1003–1019. https://doi.org/10.1007/s11307-019-01345-2 (2019). es_ES
dc.description.references Duer, M. J. Introduction to Solid-State NMR Spectroscopy (Blackwell, Oxford, 2004). es_ES
dc.description.references Oatridge, A. et al. Magnetic resonance: magic angle imaging of the achilles tendon. Lancet 358, 1610–1611. https://doi.org/10.1016/S0140-6736(01)06661-2 (2001). es_ES
dc.description.references Funduk, N. et al. Composition and relaxation of the proton magnetization of human enamel and its contribution to the tooth NMR image. Magnetic Resonance Med.1, 66–75. https://doi.org/10.1002/mrm.1910010108 (1984). es_ES
dc.description.references Schreiner, L. J. et al. Proton NMR spin grouping and exchange in dentin. Biophys. J . 59, 629–639. https://doi.org/10.1016/S0006-3495(91)82278-0 (1991). es_ES
dc.description.references Niraj, L. K. et al. MRI in dentistry–a future towards radiation free imaging-systematic review. JCDRhttps://doi.org/10.7860/JCDR/2016/19435.8658 (2016). es_ES
dc.description.references Shah, N. Recent advances in imaging technologies in dentistry. World J. Radiol. 6, 794. https://doi.org/10.4329/wjr.v6.i10.794 (2014). es_ES
dc.description.references Newton, C. W., Hoen, M. M., Goodis, H. E., Johnson, B. R. & McClanahan, S. B. Identify and determine the metrics, hierarchy, and predictive value of all the parameters and/or methods used during endodontic diagnosis. J. Endodontics 35, 1635–1644. https://doi.org/10.1016/j.joen.2009.09.033 (2009). es_ES
dc.description.references Brady, E., Mannocci, F., Brown, J., Wilson, R. & Patel, S. A comparison of cone beam computed tomography and periapical radiography for the detection of vertical root fractures in nonendodontically treated teeth. Int. Endod. J. 47, 735–746. https://doi.org/10.1111/iej.12209 (2014). es_ES
dc.description.references Idiyatullin, D., Garwood, M., Gaalaas, L. & Nixdorf, D. R. Role of MRI for detecting micro cracks in teeth. Dentomaxillofac. Radiol. 45, 20160150. https://doi.org/10.1259/dmfr.20160150 (2016). es_ES
dc.description.references Idiyatullin, D. et al. Dental magnetic resonance imaging: making the invisible visible. J. Endodontics 37, 745–752 (2011). es_ES
dc.description.references Marques, J. P., Simonis, F. F. & Webb, A. G. Low-field MRI: an MR physics perspective. J. Magn. Reson. Imaging 49, 1528–1542. https://doi.org/10.1002/jmri.26637 (2019). es_ES
dc.description.references Sarracanie, M. et al. Low-cost high-performance MRI. Sci. Rep. 5, 15177. https://doi.org/10.1038/srep15177 (2015). es_ES
dc.description.references Weiger, M. et al. High-resolution ZTE imaging of human teeth. NMR Biomed. 25, 1144–1151. https://doi.org/10.5041/rmmj.103552 (2012). es_ES
dc.description.references Grodzki, D. M., Jakob, P. M. & Heismann, B. Ultrashort echo time imaging using pointwise encoding time reduction with radial acquisition (PETRA). Magn. Reson. Med. 67, 510–518. https://doi.org/10.5041/rmmj.103553 (2012). es_ES
dc.description.references Kaczmarz, S. Angenäherte auflösung von systemen linearer gleichungen. Bull. Int. Acad. Pol. Sci. Let., Cl. Sci. Math. Nat. 35, 355–357 (1937). es_ES
dc.description.references Gordon, R., Bender, R. & Herman, G. T. Algebraic reconstruction techniques (ART) for three-dimensional electron microscopy and X-ray photography. J. Theor. Biol. 29, 471–481. https://doi.org/10.1016/0022-5193(70)90109-8 (1970). es_ES
dc.description.references Gower, R. M. & Richtarik, P. Randomized iterative methods for linear systems. SIAM J. Matrix Anal. Appl.36, 1660–1690. 10.1137/15M1025487 (2015). arXiv:1506.03296. es_ES
dc.description.references Ludwig, U. et al. Dental MRI using wireless intraoral coils. Sci. Rep.6, https://doi.org/10.1038/srep23301 (2016). es_ES
dc.description.references Maggioni, M., Katkovnik, V., Egiazarian, K. & Foi, A. Nonlocal transform-domain filter for volumetric data denoising and reconstruction. IEEE Trans. Image Process. 22, 119–133. https://doi.org/10.5041/rmmj.103555 (2013). es_ES
dc.description.references Weiger, M. & Pruessmann, K. P. Short-t2 mri: principles and recent advances. Prog. Nucl. Magn. Reson. Spectrosc. 114–115, 237–270 (2019). es_ES
dc.description.references Jang, H., Wiens, C. N. & McMillan, A. B. Ramped hybrid encoding for improved ultrashort echo time imaging. Magn. Resonance Med. 76, 814–825 (2016). es_ES
dc.description.references Wu, Y. et al. Water- and fat-suppressed proton projection mri (waspi) of rat femur bone. Magn. Reson. Med. 57, 554–567 (2007). es_ES
dc.description.references Carr, H. Y. Steady-state free precession in nuclear magnetic resonance. Phys. Rev. 112, 1693–1701. https://doi.org/10.5041/rmmj.103556 (1958). es_ES
dc.description.references Waugh, J. S., Huber, L. M. & Haeberlen, U. Approach to high-resolution NMR in solids. Phys. Rev. Lett. 20, 180–182. https://doi.org/10.5041/rmmj.103557 (1968). es_ES
dc.description.references Waeber, A. M. et al. Pulse control protocols for preserving coherence in dipolar-coupled nuclear spin baths. Nat. Commun. 10, 1–9. https://doi.org/10.1038/s41467-019-11160-6 (2019). es_ES
dc.description.references Frey, M. A. et al. Phosphorus-31 MRI of hard and soft solids using quadratic echo line-narrowing. Proc. Natl. Acad. Sci. U.S.A. 109, 5190–5195. https://doi.org/10.1073/pnas.1117293109 (2012). es_ES
dc.description.references Galve, F., Alonso, J., Algarín, J. M. & Benlloch, J. M. Magnetic resonance imaging method with zero echo time and slice selection. ESP202030504 (2020). es_ES
dc.description.references Cooley, C. Z. et al. A portable brain mri scanner for underserved settings and point-of-care imaging. arXiv2004.13183 (2020). es_ES
dc.description.references Hills, B. P. & Clark, C. J. Quality Assessment of Horticultural Products by NMRhttps://doi.org/10.1016/S0066-4103(03)50002-3 (2003). es_ES
dc.description.references Somers, A. E., Bastow, T. J., Burgar, M. I., Forsyth, M. & Hill, A. J. Quantifying rubber degradation using NMR. Polym. Degrad. Stab. 70, 31–37. https://doi.org/10.1007/s11307-019-01345-21 (2000). es_ES
dc.description.references Tyler, D. J., Robson, M. D., Henkelman, R. M., Young, I. R. & Bydder, G. M. Magnetic resonance imaging with ultrashort TE (UTE) PULSE sequences: technical considerations. J. Magn. Reson. Imaging 25, 279–289. https://doi.org/10.1002/jmri.20851 (2007). es_ES
dc.description.references Weiger, M., Pruessmann, K. P. & Hennel, F. MRI with zero echo time: hard versus sweep pulse excitation. Magn. Reson. Med. 66, 379–389. https://doi.org/10.1002/mrm.22799 (2011). es_ES
dc.description.references Rahmer, J., Blume, U. & Börnert, P. Selective 3D ultrashort TE imaging: comparison of “dual-echo” acquisition and magnetization preparation for improving short-T2 contrast. Magn. Resonance Mater. Phys. Biol. Med.20, 83–92. https://doi.org/10.1007/s10334-007-0070-6 (2007). es_ES
dc.description.references Rasche, V., Holz, D. & Schepper, W. Radial turbo spin echo imaging. Magn. Reson. Med. 32, 629–638 (1994). es_ES
dc.description.references Fessler, J. A. On NUFFT-based gridding for non-Cartesian MRI. J. Magn. Reson. 188, 191–195. https://doi.org/10.1007/s11307-019-01345-24 (2007). es_ES
dc.description.references Fessler, J. Model-based image reconstruction for MRI. In IEEE Signal Processing Magazine, vol. 27, 81–89, https://doi.org/10.1109/MSP.2010.936726(Institute of Electrical and Electronics Engineers Inc., 2010). es_ES
dc.description.references Aja-Fernández, S. & Vegas-Sánchez-Ferrero, G. Statistical Analysis of Noise in MRI (Springer, Berlin, 2016). es_ES
dc.description.references Aja-Fernández, S., Pieciak, T. & Vegas-Sánchez-Ferrero, G. Spatially variant noise estimation in MRI: a homomorphic approach. Med. Image Anal. 20, 184–197 (2015). es_ES


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