Fast high-resolution electric properties tomography using three-dimensional quantitative transient-state imaging-based water fraction estimation.
MR fingerprinting
electric properties tomography
electrical conductivity
quantitative MR imaging
relative permittivity
transient-state imaging
Journal
NMR in biomedicine
ISSN: 1099-1492
Titre abrégé: NMR Biomed
Pays: England
ID NLM: 8915233
Informations de publication
Date de publication:
Jan 2024
Jan 2024
Historique:
revised:
18
08
2023
received:
04
05
2023
accepted:
28
08
2023
medline:
11
12
2023
pubmed:
16
9
2023
entrez:
15
9
2023
Statut:
ppublish
Résumé
In this study, we aimed to develop a fast and robust high-resolution technique for clinically feasible electrical properties tomography based on water content maps (wEPT) using Quantitative Transient-state Imaging (QTI), a multiparametric transient state-based method that is similar to MR fingerprinting. Compared with the original wEPT implementation based on standard spin-echo acquisition, QTI provides robust electrical properties quantification towards B
Substances chimiques
Water
059QF0KO0R
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e5039Subventions
Organisme : European Metrology Programme for Innovation and Research (EMPIR)
Organisme : European Union's Horizon 2020 Research and Innovation Programme
ID : 18HLT05QUIERO
Organisme : Italian Ministry of Health
ID : RCLinea4
Informations de copyright
© 2023 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd.
Références
Surowiec AJ, Stuchly SS, Barr JR, Swarup A. Dielectric properties of breast carcinoma and the surrounding tissues. IEEE Trans Biomed Eng. 1988;35(4):257-263. doi:10.1109/10.1374
Haemmerich D, Staelin ST, Tsai JZ, Tungjitkusolmun S, Mahvi DM, Webster JG. In vivo electrical conductivity of hepatic tumours. Physiol Meas. 2003;24(2):251-260. doi:10.1088/0967-3334/24/2/302
Schaefer M, Gross W, Ackemann J, Gebhard MM. The complex dielectric spectrum of heart tissue during ischemia. Bioelectrochemistry Amst Neth. 2002;58(2):171-180. doi:10.1016/s1567-5394(02)00152-4
Liu L, Dong W, Ji X, et al. A new method of noninvasive brain-edema monitoring in stroke: cerebral electrical impedance measurement. Neurol Res. 2006;28(1):31-37. doi:10.1179/016164106X91843
Collins CM, Liu W, Wang J, et al. Temperature and SAR calculations for a human head within volume and surface coils at 64 and 300 MHz. J Magn Reson Imaging. 2004;19(5):650-656. doi:10.1002/jmri.20041
Haacke EM, Petropoulos LS, Nilges EW, Wu DH. Extraction of conductivity and permittivity using magnetic resonance imaging. Phys Med Biol. 1991;36(6):723-734. doi:10.1088/0031-9155/36/6/002
Katscher U, Kim DH, Seo JK. Recent progress and future challenges in MR electric properties tomography. Comput Math Methods Med. 2013;2013:546562. doi:10.1155/2013/546562
Leijsen R, Brink W, van den Berg C, Webb A, Remis R. Electrical properties tomography: a methodological review. Diagnostics. 2021;11(2):176. doi:10.3390/diagnostics11020176
Arduino A. EPTlib: an open-source extensible collection of electric properties tomography techniques. Appl Sci. 2021;11(7):3237. doi:10.3390/app11073237
Michel E, Hernandez D, Lee SY. Electrical conductivity and permittivity maps of brain tissues derived from water content based on T1-weighted acquisition. Magn Reson Med. 2017;77(3):1094-1103. doi:10.1002/mrm.26193
Fatouros PP, Marmarou A. Use of magnetic resonance imaging for in vivo measurements of water content in human brain: method and normal values. J Neurosurg. 1999;90(1):109-115. doi:10.3171/jns.1999.90.1.0109
Wenger C, Hershkovich HS, Tempel-Brami C, Giladi M, Bomzon Z. Water-content electrical property tomography (wEPT) for mapping brain tissue conductivity in the 200-1000 kHz range: results of an animal study. In: Makarov S, Horner M, Noetscher G, eds. Brain and human body modeling: computational human modeling at EMBC 2018. Springer; 2019. doi:10.1007/978-3-030-21293-3_20
Marino M, Cordero-Grande L, Mantini D, Ferrazzi G. Conductivity tensor imaging of the human brain using water mapping techniques. Front Neurosci. 2021;15:694645. doi:10.3389/fnins.2021.694645
Mandija S, Petrov PI, Vink JJT, Neggers SFW, Luijten PR, van den Berg CAT. In-vivo validation of water content electrical properties tomography reconstructions in white matter using independent MR-EPT measurements. In: Proc 26th Sci Meet Int Soc Mag Reson Med Paris (FR). 2018:5096.
Han J, Gao Y, Nan X, Yu X, Liu F, Xin SX. Effect of radiofrequency inhomogeneity on water-content based electrical properties tomography and its correction by flip angle maps. Magn Reson Imaging. 2021;78:25-34. doi:10.1016/j.mri.2020.12.020
Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature. 2013;495(7440):187-192. doi:10.1038/nature11971
Sbrizzi A, van der Heide O, Cloos M, et al. Fast quantitative MRI as a nonlinear tomography problem. Magn Reson Imaging. 2018;46:56-63. doi:10.1016/j.mri.2017.10.015
Gómez PA, Molina-Romero M, Buonincontri G, Menzel MI, Menze BH. Designing contrasts for rapid, simultaneous parameter quantification and flow visualization with quantitative transient-state imaging. Sci Rep. 2019;9(1):8468. doi:10.1038/s41598-019-44832-w
Jiang Y, Ma D, Keenan KE, Stupic KF, Gulani V, Griswold MA. Repeatability of magnetic resonance fingerprinting T1 and T2 estimates assessed using the ISMRM/NIST MRI system phantom. Magn Reson Med. 2017;78(4):1452-1457. doi:10.1002/mrm.26509
Körzdörfer G, Kirsch R, Liu K, et al. Reproducibility and repeatability of MR fingerprinting relaxometry in the human brain. Radiology. 2019;292(2):429-437. doi:10.1148/radiol.2019182360
Konar AS, Qian E, Geethanath S, et al. Quantitative imaging metrics derived from magnetic resonance fingerprinting using ISMRM/NIST MRI system phantom: an international multi-center repeatability and reproducibility study. Med Phys. 2021;48(5):2438-2447. doi:10.1002/mp.14833
Buonincontri G, Biagi L, Retico A, et al. Multi-site repeatability and reproducibility of MR fingerprinting of the healthy brain at 1.5 and 3.0 T. Neuroimage. 2019;195:362-372. doi:10.1016/j.neuroimage.2019.03.047
Buonincontri G, Kurzawski JW, Kaggie JD, et al. Three dimensional MRF obtains highly repeatable and reproducible multi-parametric estimations in the healthy human brain at 1.5T and 3T. Neuroimage. 2021;226:117573. doi:10.1016/j.neuroimage.2020.117573
Buonincontri G, Sawiak SJ. MR fingerprinting with simultaneous B1 estimation. Magn Reson Med. 2016;76(4):1127-1135. doi:10.1002/mrm.26009
Gómez PA, Cencini M, Golbabaee M, et al. Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging. Sci Rep. 2020;10(1):13769. doi:10.1038/s41598-020-70789-2
Kurzawski JW, Cencini M, Peretti L, et al. Retrospective rigid motion correction of three-dimensional magnetic resonance fingerprinting of the human brain. Magn Reson Med. 2020;84(5):2606-2615. doi:10.1002/mrm.28301
Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold MA. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magn Reson Med. 2015;74(6):1621-1631. doi:10.1002/mrm.25559
McGivney DF, Pierre E, Ma D, et al. SVD compression for magnetic resonance fingerprinting in the time domain. IEEE Trans Med Imaging. 2014;33(12):2311-2322. doi:10.1109/TMI.2014.2337321
Shah NJ, Abbas Z, Ridder D, Zimmermann M, Oros-Peusquens AM. A novel MRI-based quantitative water content atlas of the human brain. Neuroimage. 2022;252:119014. doi:10.1016/j.neuroimage.2022.119014
De Geeter N, Crevecoeur G, Dupré L, Van Hecke W, Leemans A. A DTI-based model for TMS using the independent impedance method with frequency-dependent tissue parameters. Phys Med Biol. 2012;57(8):2169-2188. doi:10.1088/0031-9155/57/8/2169
Karsa A, Shmueli K. New approaches for simultaneous noise suppression and edge preservation to achieve accurate quantitative conductivity mapping in noisy images. In: Proc Sci Meet Int Soc Mag Reson Med. 2021:3774.
Friston KJ, Holmes AP, Worsley KJ, Poline JP, Frith CD, Frackowiak RSJ. Statistical parametric maps in functional imaging: a general linear approach. Hum Brain Mapp. 1994;2(4):189-210. doi:10.1002/hbm.460020402
Jenkinson M, Beckmann CF, Behrens TEJ, Woolrich MW, Smith SM. FSL. Neuroimage. 2012;62(2):782-790. doi:10.1016/j.neuroimage.2011.09.015
Voigt T, Katscher U, Doessel O. Quantitative conductivity and permittivity imaging of the human brain using electric properties tomography. Magn Reson Med. 2011;66(2):456-466. doi:10.1002/mrm.22832
Lee J, Shin J, Kim DH. MR-based conductivity imaging using multiple receiver coils. Magn Reson Med. 2016;76(2):530-539. doi:10.1002/mrm.25891
Avants BB, Epstein CL, Grossman M, Gee JC. Symmetric diffeomorphic image registration with cross-correlation: evaluating automated labeling of elderly and neurodegenerative brain. Med Image Anal. 2008;12(1):26-41. doi:10.1016/j.media.2007.06.004
Damasio H. Human brain anatomy in computerized images. Vol. xv. 2nd ed. Oxford University Press; 2005:540. doi:10.1093/acprof:oso/9780195165616.001.0001
Joshi AA, Shattuck DW, Leahy RM. A method for automated cortical surface registration and labeling. In: Dawant BM, Christensen GE, Fitzpatrick JM, Rueckert D, eds. Biomedical image registration. Lecture notes in computer science. Springer; 2012:180-189. doi:10.1007/978-3-642-31340-0_19
Dvorak AV, Swift-LaPointe T, Vavasour IM, et al. An atlas for human brain myelin content throughout the adult life span. Sci Rep. 2021;11(1):269. doi:10.1038/s41598-020-79540-3
Hasan KM, Walimuni IS, Kramer LA, Narayana PA. Human brain iron mapping using atlas-based T2 relaxometry. Magn Reson Med. 2012;67(3):731-739. doi:10.1002/mrm.23054
Ridley B, Morsillo F, Zaaraoui W, Nonino F. Variability by region and method in human brain sodium concentrations estimated by 23Na magnetic resonance imaging: a meta-analysis. Sci Rep. 2023;13(1):3222. doi:10.1038/s41598-023-30363-y
van Lier ALHMW, Raaijmakers A, Voigt T, et al. Electrical properties tomography in the human brain at 1.5, 3, and 7T: a comparison study. Magn Reson Med. 2014;71(1):354-363. doi:10.1002/mrm.24637
Teixeira AGRP, Malik SJ, Hajnal JV. Fast quantitative MRI using controlled saturation magnetization transfer. Magn Reson Med. 2019;81(2):907-920. doi:10.1002/mrm.27442
Schepps JL, Foster KR. The UHF and microwave dielectric properties of normal and tumour tissues: variation in dielectric properties with tissue water content. Phys Med Biol. 1980;25(6):1149-1159. doi:10.1088/0031-9155/25/6/012
Farace P, Pontalti R, Cristoforetti L, Antolini R, Scarpa M. An automated method for mapping human tissue permittivities by MRI in hyperthermia treatment planning. Phys Med Biol. 1997;42(11):2159-2174. doi:10.1088/0031-9155/42/11/011
Tsuda N, Kuroda K, Suzuki Y. An inverse method to optimize heating conditions in RF-capacitive hyperthermia. IEEE Trans Biomed Eng. 1996;43(10):1029-1037. doi:10.1109/10.536904
Voigt T, Homann H, Katscher U, Doessel O. Patient-individual local SAR determination: in vivo measurements and numerical validation. Magn Reson Med. 2012;68(4):1117-1126. doi:10.1002/mrm.23322
Buchenau S, Haas M, Splitthoff DN, Hennig J, Zaitsev M. Iterative separation of transmit and receive phase contributions and B1(+)-based estimation of the specific absorption rate for transmit arrays. MAGMA. 2013;26(5):463-476. doi:10.1007/s10334-013-0367-6
Zhang X, Van de Moortele PF, Liu J, Schmitter S, He B. Quantitative prediction of radio frequency induced local heating derived from measured magnetic field maps in magnetic resonance imaging: a phantom validation at 7 T. Appl Phys Lett. 2014;105(24):244101. doi:10.1063/1.4903774
Buonincontri G, Schulte RF, Cosottini M, Tosetti M. Spiral MR fingerprinting at 7T with simultaneous B1 estimation. Magn Reson Imaging. 2017;41:1-6. doi:10.1016/j.mri.2017.04.003
Layton KJ, Kroboth S, Jia F, et al. Pulseq: a rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med. 2017;77(4):1544-1552. doi:10.1002/mrm.26235
Hansen MS, Sørensen TS. Gadgetron: an open source framework for medical image reconstruction. Magn Reson Med. 2013;69(6):1768-1776. doi:10.1002/mrm.24389
Knopp T, Grosser M. MRIReco.jl: an MRI reconstruction framework written in Julia. Magn Reson Med. 2021;86(3):1633-1646. doi:10.1002/mrm.28792
Mandija S, de Bruin PW, Webb AG, Luijten PR, van den Berg CAT. Investigating the relation between electrical conduction and tissue composition with proton and sodium MRI. In: Proc 25th Sci Meet Int Soc Mag Reson Med Honolulu, Hawaii (US). 2017:3639.
Mandija S, Petrov PI, Vink JJT, Neggers SFW, van den Berg CAT. Brain tissue conductivity measurements with MR-electrical properties tomography: an in vivo study. Brain Topogr. 2021;34(1):56-63. doi:10.1007/s10548-020-00813-1
Liao Y, Oros-Peusquens AM, Lindemeyer J, et al. An MR technique for simultaneous quantitative imaging of water content, conductivity and susceptibility, with application to brain tumours using a 3T hybrid MR-PET scanner. Sci Rep. 2019;9(1):88. doi:10.1038/s41598-018-36435-8
Katscher U, Tha KK. Normalization of conductivity maps to support identification of pathologic areas. In: Proc 31st Sci Meet Int Soc Mag Reson Med London (UK). 2022:3296.
Huhndorf M, Stehning C, Rohr A, et al. EPT-measurement of brain conductivity for non-oncologic applications. In: Proc 23rd Sci Meet Inc Soc Mag Reson Med Toronto (CAN). 2015:2194.