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1Report
المؤلفون: Jordan, Stephen P., Hu, Siyuan, Rozada, Ignacio, McGivney, Debra F., Boyacioglu, Rasim, Jacob, Darryl C., Huang, Sherry, Beverland, Michael, Katzgraber, Helmut G., Troyer, Matthias, Griswold, Mark A., Ma, Dan
المصدر: PNAS 118(40):e2020516118, 2021
مصطلحات موضوعية: Physics - Medical Physics, Quantum Physics
URL الوصول: http://arxiv.org/abs/2106.04740
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2Report
المؤلفون: Hu, Siyuan, Jordan, Stephen, Boyacioglu, Rasim, Rozada, Ignacio, Troyer, Matthias, Griswold, Mark, McGivney, Debra, Ma, Dan
URL الوصول: http://arxiv.org/abs/2105.11594
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3Academic Journal
المؤلفون: Dupuis, Andrew, Chen, Yong, Sun, Jessie E.P., Badve, Chaitra, Ma, Dan, Griswold, Mark A., Boyacioglu, Rasim
المصدر: Researchers, Instructors, & Staff Scholarship
مصطلحات موضوعية: Bland Altman, MR fingerprinting, precision, quantitative imaging, relaxation mapping, repeatability, Radiology
وصف الملف: application/pdf
Relation: https://commons.case.edu/staffworks/29; https://commons.case.edu/context/staffworks/article/1029/viewcontent/Quantifying_203D_20MR_20fingerprinting_20_203D_E2_80_90MRF_20_20reproducibility_20across_20subjects_20.pdf
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4Academic Journal
المؤلفون: Hu, Siyuan, Qiu, Zhilang, Adams, Richard James, Zhao, Walter, Boyacioglu, Rasim, Calvetti, Daniela, McGivney, Debra, Ma, Dan
المساهمون: National Institute of Neurological Disorders and Stroke, National Institute of Biomedical Imaging and Bioengineering, National Cancer Institute
المصدر: Magnetic Resonance in Medicine ; volume 92, issue 4, page 1600-1616 ; ISSN 0740-3194 1522-2594
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5Academic Journal
المؤلفون: Hu, Siyuan, Jordan, Stephen, Boyacioglu, Rasim, Rozada, Ignacio, Troyer, Matthias, Griswold, Mark, McGivney, Debra, Ma, Dan
المساهمون: National Institutes of Health, Foundation for the National Institutes of Health, Siemens Medical Solutions USA
المصدر: Magnetic Resonance Imaging ; volume 98, page 105-114 ; ISSN 0730-725X
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6Academic Journal
المؤلفون: Bulut, Merve, Öztürk, Merve Küçükali, Candan, Cevza, Nergis, Banu, Zengin, Tuğba, Yenice, Aysun, Boyacıoğlu, Rasim, Tor, Ecenur
المصدر: Journal of Textile & Apparel / Tekstil ve Konfeksiyon; 2024, Vol. 34 Issue 4, p424-433, 10p
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7Academic Journal
المؤلفون: Tippareddy, Charit, Onyewadume, Louisa, Sloan, Andrew E., Wang, Gi-Ming, Patil, Nirav T., Hu, Siyuan, Barnholtz-Sloan, Jill S., Boyacıoğlu, Rasim, Gulani, Vikas, Sunshine, Jeffrey, Griswold, Mark, Ma, Dan, Badve, Chaitra
المساهمون: National Institutes of Health, National Center for Advancing Translational Sciences
المصدر: European Radiology ; volume 33, issue 2, page 836-844 ; ISSN 1432-1084
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8Conference
المؤلفون: Eyüboğlu, Behçet Murat, Arpinar, V. Emre, Boyacioglu, Rasim, Degirmenci, Evren, Eker, Gokhan
المصدر: 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
مصطلحات موضوعية: Magnetic resonance, Imaging, Tomography, Electrical impedance, Conductivity
جغرافية الموضوع: Rotterdam, NETHERLANDS
Relation: EYÜBOĞLU B. M. , Arpinar V. E. , Boyacioglu R., Degirmenci E., Eker G., "COMPARISON OF MAGNETIC RESONANCE ELECTRICAL IMPEDANCE TOMOGRAPHY (MREIT) RECONSTRUCTION ALGORITHMS", 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Rotterdam, Hollanda, 14 - 17 Nisan 2010, ss.700-703; https://hdl.handle.net/11511/52861; WOS:000287997400181
الاتاحة: https://hdl.handle.net/11511/52861
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9Conference
المؤلفون: Boyacioglu, Rasim, Eyüboğlu, Behçet Murat
مصطلحات موضوعية: Magnetic resonance, Imaging, Tomography, MREIT
Relation: Boyacioglu R., EYÜBOĞLU B. M. , "J-Substitution and Filtered Equipotential-Projection Based Hybrid MREIT Reconstruction Algorithm", 11th International Congress of the IUPESM/World Congress on Medical Physics and Biomedical Engineering, Munich, Almanya, 7 - 12 Eylül 2009, cilt.25, ss.308-311; https://hdl.handle.net/11511/54714; 25; WOS:000306060900087
الاتاحة: https://hdl.handle.net/11511/54714
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10Academic Journal
المؤلفون: Tippareddy, Charit, Onyewadume, Louisa, Sloan, Andrew E., Wang, Gi-Ming, Patil, Nirav T., Hu, Siyuan, Barnholtz-Sloan, Jill S., Boyacıoğlu, Rasim, Gulani, Vikas, Sunshine, Jeffrey, Griswold, Mark, Ma, Dan, Badve, Chaitra
المصدر: European Radiology; Feb2023, Vol. 33 Issue 2, p836-844, 9p, 1 Color Photograph, 1 Diagram, 1 Chart, 3 Graphs
مصطلحات موضوعية: MAGNETIC resonance imaging, RADIOMICS, BRAIN tumors, GLIOMAS, QUANTITATIVE research
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11Academic Journal
المؤلفون: Huang, Sherry S., Boyacioglu, Rasim, Bolding, Reid, MacAskill, Christina, Chen, Yong, Griswold, Mark A.
المساهمون: Siemens Healthineers
المصدر: Journal of Magnetic Resonance Imaging ; volume 54, issue 4, page 1138-1151 ; ISSN 1053-1807 1522-2586
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12
المؤلفون: Dupuis, Andrew, Bolding, Reid, Chen, Yong, Boyacioglu, Rasim, Griswold, Mark A.
Relation: https://doi.org/10.5281/zenodo.10479681; https://doi.org/10.5281/zenodo.10479682; oai:zenodo.org:10479682
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13
المؤلفون: Dupuis, Andrew, Griswold, Mark, Boyacioglu, Rasim, Keenan, Kathryn
مصطلحات موضوعية: Magnetic resonance imaging, quantitative MRI, mr fingerprinting, MRF, quality control
Relation: https://doi.org/10.5281/zenodo.11372538; https://doi.org/10.5281/zenodo.11372539; oai:zenodo.org:11372539
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14
المؤلفون: Dupuis, Andrew, Boyacioglu, Rasim, Yong, Chen, Griswold, Mark
Relation: https://doi.org/10.5281/zenodo.11115988; https://doi.org/10.5281/zenodo.11115989; oai:zenodo.org:11115989
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15
المؤلفون: Dupuis, Andrew, Chen, Yong, Griswold, Mark A., Boyacioglu, Rasim
Relation: https://doi.org/10.5281/zenodo.10480299; https://doi.org/10.5281/zenodo.10480300; oai:zenodo.org:10480300
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16
المؤلفون: Dupuis, Andrew, Chen, Yong, Griswold, Mark, Boyacioglu, Rasim
Relation: https://doi.org/10.5281/zenodo.8184908; https://doi.org/10.5281/zenodo.10480300; https://doi.org/10.5281/zenodo.10480340; https://doi.org/10.5281/zenodo.10480341; oai:zenodo.org:10480341
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17Academic Journal
المؤلفون: Boyacioglu, Rasim, Beckmann, Christian F., Barth, Markus
المصدر: Frontiers in Human Neuroscience ; volume 7 ; ISSN 1662-5161
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18Academic Journal
المؤلفون: Boyacioğlu, Rasim, Barth, Markus
المصدر: Magnetic Resonance in Medicine ; volume 70, issue 4, page 962-971 ; ISSN 0740-3194 1522-2594
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19Academic Journal
المؤلفون: McGivney, Debra F., Boyacıoğlu, Rasim, Jiang, Yun, Poorman, Megan E., Seiberlich, Nicole, Gulani, Vikas, Keenan, Kathryn E., Griswold, Mark A., Ma, Dan
مصطلحات موضوعية: deep learning, magnetic resonance fingerprinting, optimization, reconstruction, machine learning, Medicine (General), Health Sciences
وصف الملف: application/pdf
Relation: McGivney, Debra F.; Boyacıoğlu, Rasim; Jiang, Yun; Poorman, Megan E.; Seiberlich, Nicole; Gulani, Vikas; Keenan, Kathryn E.; Griswold, Mark A.; Ma, Dan (2020). "Magnetic resonance fingerprinting review part 2: Technique and directions." Journal of Magnetic Resonance Imaging 51(4): 993-1007.; https://hdl.handle.net/2027.42/154317; Journal of Magnetic Resonance Imaging; Cauley SF, Setsompop K, Ma D, et al. Fast group matching for MR fingerprinting reconstruction. Magn Reson Med 2015; 74: 523 â 528.; Fessler JA, Sutton BP. Nonuniform fast Fourier transforms using minâ max interpolation. IEEE Trans Signal Process 2003; 51: 560 â 574.; Pierre EY, Ma D, Chen Y, Badve C, Griswold MA. Multiscale reconstruction for MR fingerprinting. Magn Reson Med 2016; 75: 2481 â 2492.; Zhao B, Setsompop K, Ye H, Cauley SF, Wald LL. Maximum likelihood reconstruction for magnetic resonance fingeprinting. IEEE Trans Med Imaging 2016; 35: 1812 â 1823.; Lima da Cruz G, Bustin A, Jaubert O, Schneider T, Botnar RM, Prieto C. Sparsity and locally low rank regularization for MR fingerprinting. Magn Reson Med 2019; 81: 3530 â 3543.; Yang J, Zhang Y. Alternating direction algorithms for l1â prolbmes in compressive sensing. SIAM J Sci Comput 2011; 33: 250 â 278.; Boyd S, Parikh N, Chu E, Peleato B, Eckstein J. Distributed optimization and statistical learning via the alternating direction method of multipliers. Found Trends Mach Learn 2010; 3: 1 â 122.; Davies M, Puy G, Vandergheynst P, Wiaux Y. A compressed sensing framework for magnetic resonance fingerprinting. SIAM J Imaging Sci 2014; 7: 2623 â 2656.; Doneva M, Amthor T, Koken P, Sommer K, Börnert P. Matrix completionâ based reconstruction for undersampled magnetic resonance fingerprinting data. Magn Reson Imaging 2017; 41: 41 â 52.; Ostenson J, Robison RK, Zwart NR, Welch EB. Multiâ frequency interpolation in spiral magnetic resonance fingerprinting for correction of offâ resonance blurring. Magn Reson Imaging 2017; 41: 63 â 72.; Van Vaals JJ, Brummer ME, Dixon WT, et al. "Keyâ hole" method for accelerating imaging of contrast agent uptake. J Magn Reson Imaging 1993; 3: 671 â 675.; Cruz G, Schneider T, Bruijnen T, Gaspar AS, Botnar RM, Prieto C. Accelerated magnetic resonance fingerprinting using softâ weighted keyâ hole. PLoS One 2018; 13: e0201808.; Cao X, Liao C, Wang Z, et al. Robust slidingâ window reconstruction for Accelerating the acquisition of MR fingerprinting. Magn Reson Med 2017; 78: 1579 â 1588.; Tohka J. Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review. World J Radiol 2014; 6: 855 â 864.; Badve C, Yu A, Rogers M, et al. Simultaneous T1 and T2 brain relaxometry in asymptomatic volunteers using magnetic resonance fingerprinting. Tomography 2015; 1: 136 â 144.; Tang S, Fernandezâ Granda C, Lannuzel S, et al. Multicompartment magnetic resonance fingerprinting. Inverse Probl 2018; 34: 094005.; Mazurowski MA, Buda M, Saha A, Bashir MR. Deep learning in radiology: An overview of the concepts and a survey of the state of the art with focus on MRI. J Magn Reson Imaging 2019; 49: 939 â 954.; Yang M, Jiang Y, Ma D, Mehta B, Griswold M. Game of learning Bloch equation simulations for MR fingerprinting. In: Proc 26th Annual Meeting ISMRM, Paris; 2018. p 0673.; Hamilton JI, Currey D, Griswold M, Seiberlich N. A neural network for rapid generation of cardiac MR fingerprinting dictionaries with arbitrary heart rhythms. In: Proc 27th Annual Meeting ISMRM, Montreal; 2019. p 2421.; Boux F, Forbes F, Arbel J, Barbier EL. Dictionaryâ free MR fingerprinting parameter estimation via inverse regression. In: Proc 26th Annual Meeting ISMRM, Paris; 2018. p 4259.; Virtue P, Tamir JI, Doneva M, Yu SX, Lustig M. Learning Contrast Synthesis from MR Fingerprinting. In: Proc 26th Annual Meeting ISMRM, Paris; 2018. p 0676.; Cohen O, Zhu B, Rosen MS. MR fingerprinting deep reconstruction network (DRONE). Magn Reson Med 2018; 80: 885 â 894.; Abadi M, Barham P, Chen J, et al. TensorFlow: A system for largeâ scale machine learning. In: 12th USENIX Symp Oper Syst Des Implementation, Savannah, GA; 2016; 265 â 283.; Hoppe E, Körzdörfer G, Würfl T, et al. Deep learning for magnetic resonance fingerprinting: A new approach for predicting quantitative parameter values from time series. Stud Health Technol Inform 2017; 243: 202 â 206.; Fang Z, Chen Y, Liu M, et al. Deep learning for fast and spatiallyâ constrained tissue quantification from highlyâ accelerated data in magnetic resonance fingerprinting. IEEE Trans Med Imaging 2019 [Epub ahead of print] doi: https://doi.org/10.1109/TMI.2019.2899328.; Virtue P, Yu SX, Lustig M. Better than real: Complexâ valued neural nets for MRI fingerprinting. In: 2017 IEEE Int Conf Image Process; 2017: 3953 â 3957.; Nataraj G, Nielsen Jâ F, Scott C, Fessler JA. Dictionaryâ free MRI PERK: Parameter estimation via regression with kernels. IEEE Trans Med Imaging 2018; 37: 2103 â 2114.; Zhu B, Liu JZ, Cauley SF, Rosen BR, Rosen MS. Image reconstruction by domainâ transform manifold learning. Nature 2018; 555: 487 â 492.; Ma D, Gulani V, Seiberlich N, et al. Magnetic resonance fingerprinting. Nature 2013; 495: 187 â 192.; Mehta BB, Coppo S, McGivney DF, et al. Magnetic resonance fingerprinting: A technical review. Magn Reson Med 2018; 81: 25 â 46.; Panda A, Mehta BB, Coppo S, et al. Magnetic resonance fingerprinting â An overview. Curr Opin Biomed Eng 2017; 3: 56 â 66.; Jiang Y, Ma D, Jerecic R, et al. MR fingerprinting using the quick echo splitting NMR imaging technique. Magn Reson Med 2017; 77: 979 â 988.; Jiang Y, Ma D, Seiberlich N, Gulani V, Griswold M. MR fingerprinting using fast imaging with steady state precession (FISP) with spiral readout. Magn Reson Med 2015; 74: 1621 â 1631.; Ma D, Jiang Y, Chen Y, et al. Fast 3D magnetic resonance fingerprinting for a wholeâ brain coverage. Magn Reson Med 2018; 79: 2190 â 2197.; Crawley AP, Henkelman RM. A comparison of oneâ shot and recovery methods in T1 imaging. Magn Reson Med 1988; 7: 23 â 34.; Carr H, Purcell E. Effects of diffusion on free precession in nuclear magnetic resonance experiments. Phys Rev 1954; 94: 630 â 638.; Meiboom S, Gill D. Modified spinâ echo method for measuring nuclear relaxation times. Rev Sci Instrum 1958; 29: 688 â 691.; Fram EK, Herfkens RJ, Johnson GA, et al. Rapid calculation of T1 using variable flip angle gradient refocused imaging. Magn Reson Imaging 1987; 5: 201 â 208.; Deoni SCL, Rutt BK, Peters TM. Rapid combined T1 and T2 mapping using gradient recalled acquisition in the steady state. Magn Reson Med 2003; 49: 515 â 526.; Bieri O, Scheffler K, Welsch GH, Trattnig S, Mamisch TC, Ganter C. Quantitative mapping of T2 using partial spoiling. Magn Reson Med 2011; 66: 410 â 418.; Welsch GH, Scheffler K, Mamisch TC, et al. Rapid estimation of cartilage T2 based on double echo at steady state (DESS) with 3 Tesla. Magn Reson Med 2009; 62: 544 â 549.; Look DC, Locker DR. Time saving in measurement of NMR and EPR relaxation times. Rev Sci Instrum 1970; 41: 250 â 251.; Schmitt P, Griswold MA, Jakob PM, et al. Inversion recovery TrueFISP: Quantification of T1, T2, and spin density. Magn Reson Med 2004; 51: 661 â 667.; Ehses P, Seiberlich N, Ma D, et al. IR TrueFISP with a goldenâ ratioâ based radial readout: Fast quantification of T1, T2, and proton density. Magn Reson Med 2013; 69: 71 â 81.; Warntjes JBM, Dahlqvist Leinhard O, West J, Lundberg P. Rapid magnetic resonance quantification on the brain: Optimization for clinical usage. Magn Reson Med 2008; 60: 320 â 329.; Sbrizzi A, van der Heide O, Cloos M, et al. Fast quantitative MRI as a nonlinear tomography problem. Magn Reson Imaging 2018; 46: 56 â 63.; Cheng Câ C, Preiswerk F, Hoge WS, Kuo Tâ H, Madore B. Multipathway multiâ echo (MPME) imaging: All main MR parameters mapped based on a single 3D scan. Magn Reson Med 2019; 81: 1699 â 1713.; Metere R, Kober T, Möller HE, Schäfer A. Simultaneous quantitative MRI mapping of T1, T2* and magnetic susceptibility with Multiâ Echo MP2RAGE. PLoS One 2017; 12: 1 â 28.; Weiskopf N, Suckling J, Williams G, et al. Quantitative multiâ parameter mapping of R1, PD*, MT, and R2* at 3T: A multiâ center validation. Front Neurosci 2013; 7.; Nayak KS, Lee HL, Hargreaves BA, Hu BS. Wideband SSFP: Alternating repetition time balanced steady state free precession with increased band spacing. Magn Reson Med 2007; 58: 931 â 938.; à ukur T, Nishimura DG. Multiple repetition time balanced steadyâ state free precession imaging. Magn Reson Med 2009; 62: 193 â 204.; Lee KJ, Lee Hâ L, Hennig J, Leupold J. Use of simulated annealing for the design of multiple repetition time balanced steadyâ state free precession imaging. Magn Reson Med 2012; 68: 220 â 226.; Davis L. Handbook of genetic algorithms. New York: Van Nostrand Reinhold; 1991.; Scheffler K, Hennig J. Frequency resolved singleâ shot MR imaging using stochastic kâ space trajectories. Magn Reson Med 1996; 35: 569 â 576.; Haldar JP, Hernando D, Liang Zâ P. Compressedâ sensing MRI with random encoding. IEEE Trans Med Imaging 2011; 30: 893 â 903.; Lustig M, Donoho D, Pauly JM. Sparse MRI: The application of compressed sensing for rapid MR imaging. Magn Reson Med 2007; 58: 1182 â 1195.; Ernst RR. Magnetic resonance with stochastic excitation. J Magn Reson 1970; 3: 10 â 27.; Kaiser R. Coherent spectrometry with noise signals. J Magn Reson 1970; 3: 28 â 43.; Kaulisch T, Kolbe H, Ziessow D. Nonlinear response theory in nD NMR with complex stochastic excitation. J Magn Reson Ser A 1996; 121: 42 â 49.; Ye H, Ma D, Jiang Y, et al. Accelerating magnetic resonance fingerprinting (MRF) using tâ blipped simultaneous multislice (SMS) acquisition. Magn Reson Med 2016; 75: 2078 â 2085.; Jiang Y, Ma D, Bhat H, et al. Use of pattern recognition for unaliasing simultaneously acquired slices in simultaneous multislice MR fingerprinting. Magn Reson Med 2017; 78: 1870 â 1876.; Ye H, Cauley SF, Gagoski B, et al. Simultaneous multislice magnetic resonance fingerprinting (SMSâ MRF) with directâ spiral sliceâ GRAPPA (dsâ SG) reconstruction. Magn Reson Med 2017; 77: 1966 â 1974.; Cao X, Ye H, Liao C, Li Q, He H, Zhong J. Fast 3D brain MR fingerprinting based on multiâ axis spiral projection trajectory. Magn Reson Med 2019; 289 â 301.; Liao C, Bilgic B, Manhard MK, et al. 3D MR fingerprinting with accelerated stackâ ofâ spirals and hybrid slidingâ window and GRAPPA reconstruction. Neuroimage 2017; 162: 13 â 22.; Chen Y, Jiang Y, Pahwa S, et al. MR fingerprinting for rapid quantitative abdominal imaging. Radiology 2016; 279: 278 â 286.; Chen Y, Panda A, Pahwa S, et al. Threeâ dimensional MR fingerprinting for quantitative breast imaging. Radiology 2018; 290: 33 â 40.; Panda A, Chen Y, Ropellaâ Panagis K, et al. Repeatability and reproducibility of 3D MR fingerprinting relaxometry measurements in normal breast tissue. J Magn Reson Imaging 2019 [Epub ahead of print] doi: https://doi.org/10.1002/jmri.26717.; Yu AC, Badve C, Ponsky LE, et al. Development of a combined MR fingerprinting and diffusion examination for prostate cancer. Radiology 2017; 283: 729 â 738.; Hamilton JI, Jiang Y, Chen Y, et al. MR fingerprinting for rapid quantification of myocardial T1, T2, and proton spin density. Magn Reson Med 2017; 77: 1446 â 1458.; Hamilton JI, Jiang Y, Ma D, et al. Simultaneous multislice cardiac magnetic resonance fingerprinting using low rank reconstruction. NMR Biomed 2019; 32: e4041.; Hamilton JI, Jiang Y, Ma D, et al. Investigating and reducing the effects of confounding factors for robust T1 and T2 mapping with cardiac MR fingerprinting. Magn Reson Imaging 2018; 53: 40 â 51.; Cloos MA, Knoll F, Zhao T, et al. Multiparametric imaging with heterogeneous radiofrequency fields. Nat Commun 2016; 7: 12445.; Cloos MA, Assländer J, Abbas B, et al. Rapid radial T1 and T2 mapping of the hip articular cartilage with magnetic resonance fingerprinting. J Magn Reson Imaging 2019 [Epub ahead of print] doi: https://doi.org/10.1002/jmri.26615.; Poorman ME, Martin MN, Ma D, et al. Magnetic resonance fingerprinting. Part I: Potential uses, current challenges, and recommendations. J Magn Reson Imaging 2019 [Epub ahead of print] doi: https://doi.org/10.1002/jmri.26836.; Deshmane A, McGivney DF, Ma D, et al. Partial volume mapping using magnetic resonance fingerprinting. NMR Biomed 2019; 32: e4082.; McGivney D, Deshmane A, Jiang Y, et al. Bayesian estimation of multicomponent relaxation parameters in magnetic resonance fingerprinting. Magn Reson Med 2018; 80: 159 â 170.; Sommer K, Amthor T, Doneva M, Koken P, Meineke J, Börnert P. Towards predicting the encoding capability of MR fingerprinting sequences. Magn Reson Imaging 2017; 41: 7 â 14.; Cohen O, Rosen MS. Algorithm comparison for schedule optimization in MR fingerprinting. Magn Reson Imaging 2017; 41: 15 â 21.; Liu Y, Buck JR, Ikonomidou VN. Generalized minâ max boundâ based MRI pulse sequence design framework for wideâ range T1 relaxometry: A case study on the tissue specific imaging sequence. PLoS One 2017; 12: 1 â 20.; Teixeira RPAG, Malik SJ, Hajnal JV. Joint system relaxometry (JSR) and Crámerâ Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation. Magn Reson Med 2018; 79: 234 â 245.; Zhao B, Haldar JP, Liao C, et al. Optimal experiment design for magnetic resonance fingerprinting: Cramerâ Rao bound meets spin dynamics. IEEE Trans Med Imaging 2019; 38: 844 â 861.; Kara D, Fan M, Hamilton J, Griswold M, Seiberlich N, Brown R. Parameter map error due to normal noise and aliasing artifacts in MR fingerprinting. Magn Reson Med 2019; 81: 3108 â 3123.; Körzdörfer G, Pfeuffer J, Kluge T, Hensel B, Meyer CH, Nittka M. Effect of spiral undersampling patterns on FISP MRF parameter maps. Magn Reson Imaging 2019 [Epub ahead of print] doi: https://doi.org/10.1016/j.mri.2019.01.011.; Buonincontri G, Sawiak SJ. MR fingerprinting with simultaneous B1 estimation. Magn Reson Med 2016; 76: 1127 â 1135.; Assländer J, Glaser SJ, Hennig J. Pseudo steadyâ state free precession for MRâ fingerprinting. Magn Reson Med 2017; 77: 1151 â 1161.; Stolk CC, Sbrizzi A. Understanding the combined effect of kâ space undersampling and transient states excitation in MR Fingerprinting reconstructions. IEEE Trans Med Imaging 2019 [Epub ahead of print] doi: https://doi.org/10.1109/TMI.2019.2900585.; Lankford CL, Does MD. Propagation of error from parameter constraints in quantitative MRI: Example application of multiple spin echo T2 mapping. Magn Reson Med 2018; 79: 673 â 682.; Jang J, Bang K, Jang H, Hwang D. Quality evaluation of noâ reference MR images using multidirectional filters and image statistics. Magn Reson Med 2018; 80: 914 â 924.; Wang CY, Coppo S, Mehta BB, Seiberlich N, Yu X, Griswold MA. Magnetic resonance fingerprinting with quadratic RF phase for measurement of T2* simultaneously with δf, T1, and T2. Magn Reson Med 2019; 81: 1849 â 1862.; Wyatt CR, Smith TB, Sammi MK, Rooney WD, Guimaraes AR. Multiâ parametric T2* magnetic resonance fingerprinting using variable echo times. NMR Biomed 2018; 31: e3951.; Hong T, Han D, Kim Dâ H. Simultaneous estimation of PD, T1, T2, T2*, and Î B0 using magnetic resonance fingerprinting with background gradient compensation. Magn Reson Med 2019; 81: 2614 â 2623.; Rieger B, Akçakaya M, Pariente JC, et al. Time efficient wholeâ brain coverage with MR Fingerprinting using sliceâ interleaved echoâ planarâ imaging. Sci Rep 2018; 8: 6667.; Su P, Mao D, Liu P, et al. Multiâ parametric estimation of brain hemodynamics with MR Fingerprinting ASL (MRFâ ASL). Magn Reson Med 2017; 78: 1812 â 1823.; Wright KL, Jiang Y, Ma D, et al. Estimation of perfusion properties with MR fingerprinting arterial spin labeling. Magn Reson Imaging 2018; 50: 68 â 77.; Cencini M, Biagi L, Kaggie JD, Schulte RF, Tosetti M, Buonincontri G. Magnetic resonance fingerprinting with dictionaryâ based fat and water separation (DBFW MRF): A multiâ component approach. Magn Reson Med 2019; 81: 3032 â 3045.; Hamilton J, Deshmane A, Griswold M, Seiberlich N. MR fingerprinting with chemical exchange (MRFâ X) for in vivo multiâ component relaxation and exchange rate mapping. In: Proc 24th Annual Meeting ISMRM, Singapore; 2016. p 431.; Cohen O, Huang S, McMahon MT, Rosen MS, Farrar CT. Rapid and quantitative chemical exchange saturation transfer (CEST) imaging with magnetic resonance fingerprinting (MRF). Magn Reson Med 2018; 80: 2449 â 2463.; Zhou Z, Han P, Zhou B, et al. Chemical exchange saturation transfer fingerprinting for exchange rate quantification. Magn Reson Med 2018; 80: 1352 â 1363.; Körzdörfer G, Jiang Y, Speier P, et al. Magnetic resonance field fingerprinting. Magn Reson Med 2019; 81: 2347 â 2359.; Badve C, Yu A, Dastmalchian S, et al. MR fingerprinting of adult brain tumors: Initial experience. Am J Neuroradiol 2017; 38: 492 â 499.; McGivney DF, Pierre E, Ma D, et al. SVD compression for magnetic resonance fingerprinting in the time domain. IEEE Trans Med Imaging 2014; 33: 2311 â 2322.; Zhao B, Setsompop K, Adalsteinsson E, et al. Improved magnetic resonance fingerprinting reconstruction with lowâ rank and subspace modeling. Magn Reson Med 2018; 79: 933 â 942.; Assländer J, Cloos MA, Knoll F, Sodickson DK, Hennig J, Lattanzi R. Low rank alternating direction method of multipliers reconstruction for MR fingerprinting. Magn Reson Med 2018; 79: 83 â 96.; Mazor G, Weizman L, Tal A, Eldar YC. Lowâ rank magnetic resonance fingerprinting. Med Phys 2018; 45: 4066 â 4084.; Halko N, Martinsson Pâ G, Shkolnisky Y, Tygert M. An algorithm for the principal component analysis of large data sets. SIAM J Sci Comput 2011; 33: 2580 â 2594.; Yang M, Ma D, Jiang Y, et al. Low rank approximation methods for MR fingerprinting with large scale dictionaries. Magn Reson Med 2018; 79: 2392 â 2400.; Lattanzi R, Zhang B, Knoll F, Assländer J, Cloos MA. Phase unwinding for dictionary compression with multiple channel transmission in magnetic resonance fingerprinting. Magn Reson Imaging 2018; 49: 32 â 38.; Cline CC, Chen X, Mailhe B, et al. AIRâ MRF: Accelerated iterative reconstruction for magnetic resonance fingerprinting. Magn Reson Imaging 2017; 41: 29 â 40.; Wang Z, Zhang J, Cui D, et al. Magnetic resonance fingerprinting using a fast dictionary searching algorithm: MRFâ ZOOM. IEEE Trans Biomed Eng 2018 [Epub ahead of print] doi:0.110.
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20Academic Journal
المؤلفون: Boyacioglu, Rasim, Wang, Charlie, Ma, Dan, McGivney, Debra F., Yu, Xin, Griswold, Mark A.
المساهمون: Siemens Healthineers, National Institutes of Health
المصدر: Magnetic Resonance in Medicine ; volume 85, issue 4, page 2084-2094 ; ISSN 0740-3194 1522-2594