20.11.1 Magnetic Resonance Imaging Systems, Hardware Implementations

Arduino, A., Zilberti, L., Chiampi, M., Bottauscio, O.,
CSI-EPT in Presence of RF-Shield for MR-Coils,
MedImg(36), No. 7, July 2017, pp. 1396-1404.
IEEE DOI 1707
Magnetic domains, Magnetic properties, Magnetic resonance imaging, Mathematical model, Minimization, Numerical models, Radio frequency, Contrast source inversion, Maxwell equations, electric properties tomography, finite element method, magnetic resonance imaging, specific, absorption, rate BibRef

Cheng, J., Shen, D., Yap, P.T., Basser, P.J.,
Single- and Multiple-Shell Uniform Sampling Schemes for Diffusion MRI Using Spherical Codes,
MedImg(37), No. 1, January 2018, pp. 185-199.
IEEE DOI 1801
biodiffusion, biological tissues, biomedical MRI, codes, image coding, image reconstruction, image sampling, uniform spherical sampling BibRef

Kroboth, S., Layton, K.J., Jia, F., Littin, S., Yu, H., Hennig, J., Zaitsev, M.,
Optimization of Coil Element Configurations for a Matrix Gradient Coil,
MedImg(37), No. 1, January 2018, pp. 284-292.
IEEE DOI 1801
biomedical MRI, brain, simulated annealing, 84-channel matrix gradient coil, NP-hard combinatorial nature, simulated annealing BibRef

Horneff, A., Eder, M., Hell, E., Ulrici, J., Felder, J., Rasche, V., Anders, J.,
An EM Simulation-Based Design Flow for Custom-Built MR Coils Incorporating Signal and Noise,
MedImg(37), No. 2, February 2018, pp. 527-535.
IEEE DOI 1802
Coils, Phantoms, Prototypes, Sensitivity, Signal to noise ratio, MR SNR simulation, MR coil simulation, MR image SNR simulation, Software-based MR coil design BibRef

Rund, A., Aigner, C.S., Kunisch, K., Stollberger, R.,
Magnetic Resonance RF Pulse Design by Optimal Control With Physical Constraints,
MedImg(37), No. 2, February 2018, pp. 461-472.
IEEE DOI 1802
Magnetization, Mathematical model, Newton method, Optimal control, Optimization, Radio frequency, RF pulse design, slice-selective BibRef

Marjanovic, J., Weiger, M., Reber, J., Brunner, D.O., Dietrich, B.E., Wilm, B.J., Froidevaux, R., Pruessmann, K.P.,
Multi-Rate Acquisition for Dead Time Reduction in Magnetic Resonance Receivers: Application to Imaging With Zero Echo Time,
MedImg(37), No. 2, February 2018, pp. 408-416.
IEEE DOI 1802
Filter banks, Finite impulse response filters, Imaging, Kernel, Radio frequency, Filter cascade, MRI, ZTE, multi-rate acquisition, short T2 BibRef

Zimmermann, M.[Markus], Abbas, Z.[Zaheer], Dzieciol, K.[Krzysztof], Shah, N.J.[N. Jon],
Accelerated Parameter Mapping of Multiple-Echo Gradient-Echo Data Using Model-Based Iterative Reconstruction,
MedImg(37), No. 2, February 2018, pp. 626-637.
IEEE DOI 1802
MIRAGE. Data models, Image reconstruction, Iterative methods, Magnetomechanical effects, Solid modeling, Time series analysis, parameter mapping BibRef

Eroglu, H.H., Sadighi, M., Eyüboglu, B.M.,
Induced Current Magnetic Resonance Electrical Conductivity Imaging With Oscillating Gradients,
MedImg(37), No. 7, July 2018, pp. 1606-1617.
IEEE DOI 1808
biomedical MRI, eddy currents, electric impedance imaging, electrical conductivity, image reconstruction, magnetic flux, magnetic resonance imaging BibRef

Ha, Y., Choi, C., Shah, N.J.,
Development and Implementation of a PIN-Diode Controlled, Quadrature-Enhanced, Double-Tuned RF Coil for Sodium MRI,
MedImg(37), No. 7, July 2018, pp. 1626-1631.
IEEE DOI 1808
biomedical MRI, coils, p-i-n diodes, single-tuned coils, double-tuned RF coil, sodium MRI, MR-detectable sodium signals, high field BibRef

Li, Q., Liao, C., Ye, H., Chen, Y., Cao, X., Yuan, L., He, H., Zhong, J.,
Squeezed Trajectory Design for Peak RF and Integrated RF Power Reduction in Parallel Transmission MRI,
MedImg(37), No. 8, August 2018, pp. 1809-1821.
IEEE DOI 1808
Radio frequency, Trajectory, Acceleration, Shape, Magnetic resonance imaging, Spirals, MRI, RF pulse design, particle swarm optimization BibRef

Gao, Y., Chen, W., Zhang, X.,
Investigating the Influence of Spatial Constraints on Ultimate Receive Coil Performance for Monkey Brain MRI at 7 T,
MedImg(37), No. 7, July 2018, pp. 1723-1732.
IEEE DOI 1808
biomedical MRI, brain, coils, medical image processing, coil-to-object distance, coil elements layout, ultra-high field (UHF) BibRef

Chen, Q., Xie, G., Luo, C., Yang, X., Zhu, J., Lee, J., Su, S., Liang, D., Zhang, X., Liu, X., Li, Y., Zheng, H.,
A Dedicated 36-Channel Receive Array for Fetal MRI at 3T,
MedImg(37), No. 10, October 2018, pp. 2290-2297.
IEEE DOI 1810
Coils, Magnetic resonance imaging, Signal to noise ratio, Pregnancy, Acceleration, Abdomen, Fetus imaging, radio-frequency (RF) coil BibRef

Chandra, S.S., Ruben, G., Jin, J., Li, M., Kingston, A.M., Svalbe, I.D., Crozier, S.,
Chaotic Sensing,
IP(27), No. 12, December 2018, pp. 6079-6092.
IEEE DOI 1810
biomedical MRI, chaos, discrete Fourier transforms, fractals, image denoising, image reconstruction, image sampling, compressed sensing BibRef

Hong, S., Choi, C., Magill, A.W., Jon Shah, N., Felder, J.,
Design of a Quadrature 1H/31P Coil Using Bent Dipole Antenna and Four-Channel Loop at 3T MRI,
MedImg(37), No. 12, December 2018, pp. 2613-2618.
IEEE DOI 1812
Dipole antennas, Antenna arrays, Antenna measurements, Sensitivity, Phantoms, Signal to noise ratio, Head, Magnetic resonance imaging, quadrature bent dipole antenna BibRef

Dixit, N., Stang, P.P., Pauly, J.M., Scott, G.C.,
Thermo-Acoustic Ultrasound for Detection of RF-Induced Device Lead Heating in MRI,
MedImg(37), No. 2, February 2018, pp. 536-546.
IEEE DOI 1802
Acoustics, Frequency modulation, Heating systems, Lead, Radio frequency, Signal to noise ratio, Implanted devices, thermoacoustic imaging BibRef

Yeh, J.T., Lin, J.L., Li, Y., Lin, F.,
A Flexible and Modular Receiver Coil Array for Magnetic Resonance Imaging,
MedImg(38), No. 3, March 2019, pp. 824-833.
IEEE DOI 1903
Receivers, Signal to noise ratio, Magnetic resonance imaging, Phantoms, Electromagnetics, Capacitors, Circumferential shielding, mutual coupling BibRef

Carrillo, H., Osses, A., Uribe, S., Bertoglio, C.,
Optimal Dual-VENC Unwrapping in Phase-Contrast MRI,
MedImg(38), No. 5, May 2019, pp. 1263-1270.
IEEE DOI 1905
Velocity measurement, Phase measurement, Magnetic resonance imaging, Encoding, Estimation, unwrapping BibRef

Mäkinen, A.J., Zevenhoven, K.C.J., Ilmoniemi, R.J.,
Automatic Spatial Calibration of Ultra-Low-Field MRI for High-Accuracy Hybrid MEG-MRI,
MedImg(38), No. 6, June 2019, pp. 1317-1327.
IEEE DOI 1906
Magnetic resonance imaging, Sensor arrays, Calibration, Coils, Magnetic sensors, Sensitivity, Calibration, co-registration, ULF MRI BibRef

Mehmann, A., Vogt, C., Varga, M., Port, A., Reber, J., Marjanovic, J., Pruessmann, K.P., Sporrer, B., Huang, Q., Tröster, G.,
Automatic Resonance Frequency Retuning of Stretchable Liquid Metal Receive Coil for Magnetic Resonance Imaging,
MedImg(38), No. 6, June 2019, pp. 1420-1426.
IEEE DOI 1906
Resonant frequency, Signal to noise ratio, Magnetic resonance imaging, Receivers, Strain, stretchable BibRef

Haldar, J.P., Kim, D.,
OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI,
MedImg(38), No. 7, July 2019, pp. 1545-1558.
IEEE DOI 1907
Magnetic resonance imaging, Image reconstruction, Covariance matrices, Data acquisition, Image coding, Data models, compressed sensing BibRef

Zhang, J., Wu, J., Chen, S., Zhang, Z., Cai, S., Cai, C., Chen, Z.,
Robust Single-Shot T2 Mapping via Multiple Overlapping-Echo Acquisition and Deep Neural Network,
MedImg(38), No. 8, August 2019, pp. 1801-1811.
IEEE DOI 1908
Magnetic resonance imaging, Image reconstruction, Acceleration, Organic light emitting diodes, Weight measurement, Convolution, single shot BibRef

Speidel, T., Metze, P., Rasche, V.,
Efficient 3D Low-Discrepancy k-Space Sampling Using Highly Adaptable Seiffert Spirals,
MedImg(38), No. 8, August 2019, pp. 1833-1840.
IEEE DOI 1908
Spirals, Trajectory, Jacobian matrices, Magnetic resonance imaging, Acceleration, 3D, spiral, low-discrepancy BibRef

Ilbey, S., Top, C.B., Güngör, A., Çukur, T., Saritas, E.U., Güven, H.E.,
Fast System Calibration With Coded Calibration Scenes for Magnetic Particle Imaging,
MedImg(38), No. 9, September 2019, pp. 2070-2080.
IEEE DOI 1909
Calibration, Image reconstruction, Position measurement, Signal to noise ratio, Standards, Biomedical imaging, calibration BibRef

Sandino, C.M., Cheng, J.Y., Chen, F., Mardani, M., Pauly, J.M., Vasanawala, S.S.,
Compressed Sensing: From Research to Clinical Practice With Deep Neural Networks: Shortening Scan Times for Magnetic Resonance Imaging,
SPMag(37), No. 1, January 2020, pp. 117-127.
IEEE DOI 2001
Image reconstruction, Magnetic resonance imaging, Neural networks, Transforms, Compressed sensing, Sensitivity BibRef

Guo, L., Li, M., Nguyen, P., Liu, F., Crozier, S.,
Integral MR-EPT With the Calculation of Coil Current Distributions,
MedImg(39), No. 1, January 2020, pp. 175-187.
IEEE DOI 2001
Current distribution, Mathematical model, Radio frequency, Image reconstruction, Integral equations, Load modeling, specific absorption rate BibRef

Eder, M., Horneff, A., Paul, J., Storm, A., Wunderlich, A., Hell, E., Ulrici, J., Anders, J., Rasche, V.,
A Signal Acquisition Setup for Ultrashort Echo Time Imaging Operating in Parallel on Unmodified Clinical MRI Scanners Achieving an Acquisition Delay of 3-mu-s,
MedImg(39), No. 1, January 2020, pp. 218-225.
IEEE DOI 2001
Magnetic resonance imaging, Radio frequency, Delays, Switches, Synchronization, Field programmable gate arrays, MR data acquisition BibRef

Lee, H., Chung, J.J., Lee, J., Kim, S., Han, J., Park, J.,
Model-Based Chemical Exchange Saturation Transfer MRI for Robust z-Spectrum Analysis,
MedImg(39), No. 2, February 2020, pp. 283-293.
IEEE DOI 2002
Magnetic resonance imaging, Radio frequency, Radiation effects, Frequency measurement, Analytical models, Chemicals, compressed sensing BibRef

Heo, P.[Phil], Kim, H.J.[Han-Joong], Han, S.D.[Sang-Doc], Kim, D.[Donghyuk], Im, G.H.[Geun Ho], Kim, S.[Soobum], Kim, K.N.[Kyoung-Nam],
A study on multiple array method of birdcage coils to improve the signal intensity and homogeneity in small-animal whole-body magnetic resonance imaging at 7?T,
IJIST(30), No. 1, 2020, pp. 31-44.
DOI Link 2002
birdcage, EM simulation, magnetic resonance imaging BibRef

Hernandez, D.[Daniel], Seo, J.H.[Jeung-Hoon], Kim, K.N.[Kyoung-Nam],
Linear array arrangement using composite right-/left-handed transmission lines for magnetic resonance imaging,
IJIST(30), No. 1, 2020, pp. 216-223.
DOI Link 2002
electromagnetics, finite-element modeling, magnetic imaging, metamaterials, MRI, RF array coil BibRef

Wilm, B.J., Dietrich, B.E., Reber, J., Vannesjo, S.J., Pruessmann, K.P.,
Gradient Response Harvesting for Continuous System Characterization During MR Sequences,
MedImg(39), No. 3, March 2020, pp. 806-815.
IEEE DOI 2004
Probes, Magnetic resonance imaging, Nuclear magnetic resonance, Time measurement, Eddy currents, Linear systems, real-time BibRef

Marjanovic, J., Reber, J., Brunner, D.O., Engel, M., Kasper, L., Dietrich, B.E., Vionnet, L., Pruessmann, K.P.,
A Reconfigurable Platform for Magnetic Resonance Data Acquisition and Processing,
MedImg(39), No. 4, April 2020, pp. 1138-1148.
IEEE DOI 2004
Optical fiber sensors, Clocks, Real-time systems, Optical fibers, Imaging, Field programmable gate arrays, Real-time processing, expanded encoding model BibRef

Issa, I., Ford, K.L., Rao, M., Wild, J.M.,
A Magnetic Resonance Imaging Surface Coil Transceiver Employing a Metasurface for 1.5T Applications,
MedImg(39), No. 4, April 2020, pp. 1085-1093.
IEEE DOI 2004
Magnetic resonance imaging, Surface impedance, Radio frequency, Impedance, Phantoms, Frequency selective surfaces, metasurfaces BibRef

Reber, J., Marjanovic, J., Brunner, D.O., Port, A., Schmid, T., Dietrich, B.E., Moser, U., Barmet, C., Pruessmann, K.P.,
An In-Bore Receiver for Magnetic Resonance Imaging,
MedImg(39), No. 4, April 2020, pp. 997-1007.
IEEE DOI 2004
Magnetic resonance imaging, Radio frequency, Optical imaging, Optical receivers, Coils, In-bore electronics, MRI receiver, magnetic field monitoring BibRef

Pawar, K.[Kamlesh], Chen, Z.L.[Zhao-Lin], Zhang, J.X.[Jing-Xin], Shah, N.J.[N. Jon], Egan, G.F.[Gary F.],
Application of compressed sensing using chirp encoded 3D GRE and MPRAGE sequences,
IJIST(30), No. 3, 2020, pp. 592-604.
DOI Link 2008
compressed sensing, image reconstruction, MRI pulse sequence BibRef

Chen, W., Lee, B.Y., Zhu, X.H., Wiesner, H.M., Sarkarat, M., Gandji, N.P., Rupprecht, S., Yang, Q.X., Lanagan, M.T.,
Tunable Ultrahigh Dielectric Constant (tuHDC) Ceramic Technique to Largely Improve RF Coil Efficiency and MR Imaging Performance,
MedImg(39), No. 10, October 2020, pp. 3187-3197.
IEEE DOI 2010
Iron, FCC, IP networks, Indexes, Magnetic resonance (MR) imaging (MRI), ultrahigh field (UHF) BibRef

Fantasia, M., Galante, A., Maggiorelli, F., Retico, A., Fontana, N., Monorchio, A., Alecci, M.,
Numerical and Workbench Design of 2.35 T Double-Tuned (H/Na) Nested RF Birdcage Coils Suitable for Animal Size MRI,
MedImg(39), No. 10, October 2020, pp. 3175-3186.
IEEE DOI 2010
Radio frequency, Coils, Magnetic resonance imaging, Couplings, Finite element analysis, Legged locomotion, MRI, decoupling BibRef

Eberhardt, B., Poser, B.A., Shah, N.J., Felder, J.,
Application of Evolution Strategies to the Design of SAR Efficient Parallel Transmit Multi-Spoke Pulses for Ultra-High Field MRI,
MedImg(39), No. 12, December 2020, pp. 4225-4236.
IEEE DOI 2012
Optimization, Radio frequency, Magnetic resonance imaging, Trajectory, Neuroscience, Nonhomogeneous media, Hardware, optimization BibRef

Sherry, F., Benning, M., de los Reyes, J.C., Graves, M.J., Maierhofer, G., Williams, G., Schönlieb, C.B., Ehrhardt, M.J.,
Learning the Sampling Pattern for MRI,
MedImg(39), No. 12, December 2020, pp. 4310-4321.
IEEE DOI 2012
Image reconstruction, Magnetic resonance imaging, Compressed sensing, Reconstruction algorithms, Training, regularisation BibRef

Shin, D.M.[Dong-Myung], Ji, S.[Sooyeon], Lee, D.[Doohee], Lee, J.[Jieun], Oh, S.H.[Se-Hong], Lee, J.[Jongho],
Deep Reinforcement Learning Designed Shinnar-Le Roux RF Pulse Using Root-Flipping: DeepRFSLR,
MedImg(39), No. 12, December 2020, pp. 4391-4400.
IEEE DOI 2012
Radio frequency, Reinforcement learning, Neural networks, Magnetic resonance imaging, Deep learning, Games, Optimization, AI design BibRef

Davids, M., Guérin, B., Klein, V., Wald, L.L.,
Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints,
MedImg(40), No. 1, January 2021, pp. 129-142.
IEEE DOI 2012
Coils, Magnetic resonance imaging, Optimization, Windings, Current density, Torque, Gradient coil design, MRI safety, neurodynamic nerve model BibRef

Su, S., Qiu, Z., Luo, C., Shi, C., Wan, L., Zhu, Y., Li, Y., Liu, X., Zheng, H., Liang, D., Wang, H.,
Accelerated 3D bSSFP Using a Modified Wave-CAIPI Technique With Truncated Wave Gradients,
MedImg(40), No. 1, January 2021, pp. 48-58.
IEEE DOI 2012
Acceleration, Magnetic resonance imaging, Trajectory, CAIPIRINHA BibRef

Lee, S.K., Oh, S., Kim, H.S., Song, B.P.,
Radio-Frequency Vector Magnetic Field Mapping in Magnetic Resonance Imaging,
MedImg(40), No. 3, March 2021, pp. 963-973.
IEEE DOI 2103
Radio frequency, Magnetic field measurement, Magnetic resonance imaging, Volume measurement, Tools, Tomography, radio-frequency (RF) field BibRef

Marks, P.[Paul],
Deep Learning Speeds MRI Scans,
CACM(64), No. 4, April 2021, pp. 12-14.
DOI Link 2104
Machine intelligence significantly reduces the time needed for an MRI scan, which can help reduce patient anxiety. BibRef

Nohava, L., Czerny, R., Roat, S., Obermann, M., Kuehne, A., Frass-Kriegl, R., Felblinger, J., Ginefri, J.C., Laistler, E.,
Flexible Multi-Turn Multi-Gap Coaxial RF Coils: Design Concept and Implementation for Magnetic Resonance Imaging at 3 and 7 Tesla,
MedImg(40), No. 4, April 2021, pp. 1267-1278.
IEEE DOI 2104
Coils, Conductors, Magnetic resonance imaging, Coaxial cables, Radio frequency, Surface impedance, Resonant frequency, transmission line resonator (TLR) BibRef

Woo, M.K., Delabarre, L., Waks, M., Lee, J., Lagore, R.L., Jungst, S., Grant, A., Eryaman, Y., Ugurbil, K., Adriany, G.,
Comparison of 16-Channel Asymmetric Sleeve Antenna and Dipole Antenna Transceiver Arrays at 10.5 Tesla MRI,
MedImg(40), No. 4, April 2021, pp. 1147-1156.
IEEE DOI 2104
Dipole antennas, Antenna arrays, Coaxial cables, UHF antennas, Magnetic resonance imaging, Antenna feeds, Head, Cable trap, ultra-high field magnetic resonance imaging BibRef

Zheng, S., Li, X., Yan, W.Q., Xu, W.,
Gradient Coils Design with Regularization Method for Superconducting Magnetic Resonance Imaging,
IVCNZ18(1-5)
IEEE DOI 1902
Coils, Magnetic resonance imaging, Magnetic noise, Magnetic shielding, Current density, Superconducting magnets, Tikhonov regularization BibRef

Zhu, K., Zhang, C., Zhang, J.,
Coherence Analysis of Compressive Sensing Based Magnetic Resonance Imaging Reconstruction,
DICTA16(1-7)
IEEE DOI 1701
Coherence BibRef

Sun, H.[Hao], Grissom, W.A.[William A.], Fessler, J.A.[Jeffrey A.],
Regularized estimation of Bloch-Siegert B1-maps in MRI,
ICIP14(3646-3650)
IEEE DOI 1502
Algorithm design and analysis BibRef

Kadah, Y.M., Tewfik, A.H.,
Theory of true-velocity duplex imaging using a single transducer,
ICIP95(I: 629-632).
IEEE DOI 9510
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Magnetic Resonance Imaging, Image Reconstruction .

Last update:Oct 24, 2021 at 16:35:58