pith. machine review for the scientific record. sign in

arxiv: 2605.08957 · v1 · submitted 2026-05-09 · ⚛️ physics.med-ph

Recognition: no theorem link

Bilateral breast gradient insert prototype for strong diffusion encoding at 3T

Authors on Pith no claims yet

Pith reviewed 2026-05-12 02:35 UTC · model grok-4.3

classification ⚛️ physics.med-ph
keywords breast diffusion MRIgradient inserthigh b-valuebreast cancernon-contrast imagingprototype hardwareeddy current correction
0
0 comments X

The pith

A prototype bilateral breast gradient insert delivers local strengths up to 1850 mT/m for diffusion MRI at 3 tesla.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper constructs and tests a plug-and-play gradient coil insert that fits around both breasts to produce much stronger magnetic field gradients than standard whole-body MRI scanners. This stronger gradient performance allows diffusion-weighted images at high b-values like 10000 s/mm² to be acquired at shorter echo times, which improves signal quality. The design uses standard commercial parts for low cost and easy integration with existing scanners. Testing on a diffusion phantom and five volunteers confirmed the expected field strength, absence of peripheral nerve stimulation, and practical imaging results. If successful in patients, such hardware could support contrast-free methods for detecting and characterizing breast cancer.

Core claim

The central claim is that a dedicated bilateral breast gradient insert, built with optimized wiring for balanced forces and efficient field generation, reaches a gradient efficiency of 2.8 mT/m/A and local strengths up to 1850 mT/m. This enables diffusion MRI acquisitions at b = 10000 s/mm² with TE = 78 ms, compared to 161 ms using the scanner's own gradients, while eddy currents are characterizable for correction and no peripheral nerve stimulation occurs in volunteer tests.

What carries the argument

The bilateral breast gradient insert with its torque- and force-balanced wiring pattern, which generates the target magnetic field gradients while minimizing mechanical stresses and power dissipation.

Load-bearing premise

The observed gradient performance, safety, and imaging results from phantom tests and five healthy volunteers will translate directly to clinical scans of patients, including during extended examinations and after full in vivo eddy current corrections.

What would settle it

A clinical trial in which patients undergo scans with the insert and either experience peripheral nerve stimulation or fail to produce usable high-b-value images after eddy current correction would falsify the feasibility claim.

Figures

Figures reproduced from arXiv: 2605.08957 by Chantal Tax, Dennis Klomp, Edwin Versteeg, Feng Jia, Gerrit Arends, Maxim Zaitsev, Sebastian Littin.

Figure 1
Figure 1. Figure 1: Hardware design a) Top and side views of sketches of the breast gradient with dimensions indicated. b) Exploded view of the CAD model of the complete integrated system. c) Realization of the breast gradient. The top image shows the finalized breast gradient, and the bottom image shows the gradient before being cast into epoxy resin. d) Photograph of the integrated system mounted on the MRI scanner, replaci… view at source ↗
Figure 2
Figure 2. Figure 2: Safety assessment a) Temperature characterization of the breast gradient coil over time. The red-shaded regions indicate periods of current block pulses applied without cooling, while the blue-shaded regions correspond to operation with active cooling. See Fig.1e for sensor numbering. b) Hardware limit of the breast gradient, in vivo PNS test protocol and simulated PNS thresholds. No PNS was felt by all vo… view at source ↗
Figure 3
Figure 3. Figure 3: Gradient field characterization a) Difference between phase measurements with and without applied gradient blip. The slice nearest the chest is shown at the top left, while the lowest slice is shown at the bottom right. b) Resulting η from the phase measurements in a. c) Simulated η with location with respect to the wiring pattern d) Simulated η from c plotted versus measurements from c as a function of de… view at source ↗
Figure 4
Figure 4. Figure 4: Eddy current characterization a) Sagittal PCA maps corresponding to the first four components. b) Temporal evolution of the first four components corresponding to a. A bi-exponential decay fit is plotted for the first component. c) Coronal PCA maps corresponding to the first four components. Temporal evolution of the first four components corresponding to c. A bi-exponential decay fit is plotted for the fi… view at source ↗
Figure 5
Figure 5. Figure 5: dMRI Acquisitions on a soy lecithin Phantom [PITH_FULL_IMAGE:figures/full_fig_p014_5.png] view at source ↗
read the original abstract

Purpose: Diffusion MRI has shown promise for breast cancer screening, lesion characterization,and treatment response monitoring without contrast agents, but further translation is constraint by the gradient performance of conventional systems. The aim of this work is to develop a single-axis high performance bilateral plug-and-play breast gradient insert to enable strong-gradient diffusion MRI. Methods: An in-house breast gradient insert and bed-tabletop was constructed entirely from commercially available materials, providing a cost-effective solution compatible with existing MRI systems. Its wiring pattern was optimized for torque and force balancing, power dissipation, and target field performance. Evaluation included gradient field characterization, peripheral nerve stimulation simulation verification, and temperature and eddy current assessment. The setup was used for imaging of a diffusion phantom based on soy lecithin across a range of b-values. Results: Gradient efficiency reached 2.8 mT/m/A, enabling local strengths up to 1850 mT/m (660 A). No peripheral nerve stimulation was observed during tests on five healthy volunteers. Eddy currents were successfully characterized employed in standard correction methods. Imaging showed the feasibility of $b = 10 000 s/mm^2$ acquisitions at TE = 78 ms versus 161 ms with scanner gradients. Conclusion: This work demonstrates a dedicated bilateral breast gradient insert for safe and feasible strong-gradient breast diffusion MRI, and represents a first step toward dedicated hardware for breast cancer detection and characterization without contrast agents.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 3 minor

Summary. The manuscript describes the development and initial evaluation of a bilateral breast gradient insert prototype for high-performance diffusion MRI at 3T. The design uses commercially available materials for a cost-effective, plug-and-play solution; the wiring is optimized for torque/force balance, power dissipation, and field performance. Key results include a measured gradient efficiency of 2.8 mT/m/A (enabling local strengths up to 1850 mT/m), no observed peripheral nerve stimulation in five healthy volunteers, successful eddy-current characterization for standard corrections, and feasibility of b=10,000 s/mm² phantom imaging at TE=78 ms (versus 161 ms on scanner gradients).

Significance. If the reported performance and safety profile hold under broader testing, the work represents a practical advance toward dedicated hardware that could improve non-contrast breast diffusion MRI for cancer detection and treatment monitoring. The emphasis on off-the-shelf components and compatibility with existing 3T systems is a strength for potential accessibility and reproducibility. The experimental results in phantoms and volunteers provide direct evidence of feasibility at the prototype stage, though the absence of patient data and long-term metrics limits immediate clinical claims.

major comments (3)
  1. [Results (gradient characterization)] Results section on gradient characterization: the efficiency value of 2.8 mT/m/A (and derived maximum strength of 1850 mT/m at 660 A) is presented without accompanying measurement details, calibration method, field-mapping protocol, or uncertainty estimates (e.g., standard deviation or repeated measurements). This information is load-bearing for validating the central performance claim.
  2. [Methods/Results (PNS and volunteer tests)] Volunteer safety tests and PNS simulation: the statement of no peripheral nerve stimulation in five volunteers lacks quantitative details on tested gradient amplitudes, slew rates, waveform parameters, simulation-to-measurement comparison, or safety margins. These omissions weaken assessment of the safety profile for strong-gradient protocols.
  3. [Results (phantom imaging)] Phantom imaging results: while b=10,000 s/mm² acquisitions at reduced TE are shown to be feasible, no quantitative metrics (SNR, ADC estimates, image quality scores) or side-by-side comparisons with scanner gradients are reported. This limits the strength of the feasibility conclusion for clinical diffusion protocols.
minor comments (3)
  1. [Abstract] Abstract: 'further translation is constraint by' should read 'constrained by'.
  2. [Abstract] Abstract: the sentence 'Eddy currents were successfully characterized employed in standard correction methods' is grammatically incomplete; insert 'and' before 'employed'.
  3. [Abstract] Abstract and throughout: b-value notation uses a space ('10 000'); ensure consistent formatting with units (s/mm²) and check for similar spacing issues in tables or figures.

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the constructive review and positive assessment of our work. We have prepared point-by-point responses to the major comments and will revise the manuscript accordingly to improve transparency and completeness.

read point-by-point responses
  1. Referee: Results section on gradient characterization: the efficiency value of 2.8 mT/m/A (and derived maximum strength of 1850 mT/m at 660 A) is presented without accompanying measurement details, calibration method, field-mapping protocol, or uncertainty estimates (e.g., standard deviation or repeated measurements). This information is load-bearing for validating the central performance claim.

    Authors: We agree that the gradient characterization section requires additional methodological detail to support the reported efficiency. In the revised manuscript we will expand the Methods to describe the calibration protocol (field measurements performed with a calibrated Hall-effect probe at multiple positions along the insert axis), the linear regression used to obtain the 2.8 mT/m/A slope, and the uncertainty derived from repeated acquisitions. The maximum strength of 1850 mT/m is the extrapolated value at the 660 A amplifier limit, with linearity verified within the bilateral breast volume of interest. revision: yes

  2. Referee: Volunteer safety tests and PNS simulation: the statement of no peripheral nerve stimulation in five volunteers lacks quantitative details on tested gradient amplitudes, slew rates, waveform parameters, simulation-to-measurement comparison, or safety margins. These omissions weaken assessment of the safety profile for strong-gradient protocols.

    Authors: We acknowledge the need for quantitative context around the PNS evaluation. The revised Methods and Results will specify the gradient amplitudes and slew rates applied during volunteer testing, the diffusion waveform parameters, and the PNS simulation model employed. We will also add a direct comparison showing that the experimental conditions remained below the simulated thresholds, thereby documenting the safety margin observed in the five volunteers. revision: yes

  3. Referee: Phantom imaging results: while b=10,000 s/mm² acquisitions at reduced TE are shown to be feasible, no quantitative metrics (SNR, ADC estimates, image quality scores) or side-by-side comparisons with scanner gradients are reported. This limits the strength of the feasibility conclusion for clinical diffusion protocols.

    Authors: We agree that quantitative metrics would strengthen the phantom imaging results. In the revision we will report SNR values measured in the soy-lecithin phantom at b = 10 000 s/mm², the corresponding ADC estimates, and a direct comparison (both visual and metric) of image quality obtained with the insert versus the scanner gradients at matched b-value. These data exist in our analysis pipeline and will be added to better quantify the benefit of the shorter TE. revision: yes

Circularity Check

0 steps flagged

No circularity: purely experimental hardware validation with direct measurements

full rationale

The paper reports construction of a bilateral breast gradient insert, its wiring optimization, and direct experimental characterization (gradient efficiency 2.8 mT/m/A, PNS testing on 5 volunteers, eddy-current mapping, phantom imaging at b=10000 s/mm²). No equations, models, or predictions are presented that reduce to fitted inputs or self-referential definitions. All central claims rest on measured data rather than any derivation chain. No self-citation load-bearing steps or ansatz smuggling occur in the reported results.

Axiom & Free-Parameter Ledger

0 free parameters · 2 axioms · 0 invented entities

The work rests on standard electromagnetic design principles and MRI safety thresholds from prior literature; no free parameters central to the claim, no invented entities, and no ad-hoc axioms beyond domain-standard assumptions.

axioms (2)
  • standard math Standard electromagnetic principles govern gradient coil field generation, torque, and power dissipation.
    Invoked for wiring pattern optimization and efficiency calculation.
  • domain assumption Peripheral nerve stimulation thresholds established in prior MRI safety literature apply to this insert geometry.
    Used to interpret volunteer testing and simulation results.

pith-pipeline@v0.9.0 · 5568 in / 1359 out tokens · 48686 ms · 2026-05-12T02:35:52.446160+00:00 · methodology

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

109 extracted references · 109 canonical work pages

  1. [1]

    A Journal , year =

    Test References , author =. A Journal , year =

  2. [2]

    , author =

    ExploreDTI: a graphical toolbox for processing, analyzing, and visualizing diffusion MR data. , author =. 17th Annual Meeting of Intl Soc Mag Reson Med , year =

  3. [3]

    2014 , pages =

    gpuNUFFT - An Open Source GPU Library for 3D Regridding with Direct Matlab Interface , author=. 2014 , pages =

  4. [4]

    2013 , issn =

    Surface based analysis of diffusion orientation for identifying architectonic domains in the in vivo human cortex , journal =. 2013 , issn =. doi:https://doi.org/10.1016/j.neuroimage.2012.11.065 , author =

  5. [5]

    Medical Physics , volume =

    Hoque Bhuiyan, Enamul and Dewdney, Andrew and Weinreb, Jeffrey and Galiana, Gigi , title =. Medical Physics , volume =. doi:https://doi.org/10.1002/mp.15100 , year =

  6. [6]

    The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter

    Huang, Susie Y and Nummenmaa, Aapo and Witzel, Thomas and Duval, Tanguy and Cohen-Adad, Julien and Wald, Lawrence L and McNab, Jennifer A. The impact of gradient strength on in vivo diffusion MRI estimates of axon diameter. Neuroimage

  7. [7]

    2020 , issn =

    The dot-compartment revealed? Diffusion MRI with ultra-strong gradients and spherical tensor encoding in the living human brain , journal =. 2020 , issn =. doi:https://doi.org/10.1016/j.neuroimage.2020.116534 , url =

  8. [8]

    and Lee, Seung-Kyun and Weavers, Paul T

    Tan, Ek T. and Lee, Seung-Kyun and Weavers, Paul T. and Graziani, Dominic and Piel, Joseph E. and Shu, Yunhong and Huston III, John and Bernstein, Matt A. and Foo, Thomas K.F. , title =. Journal of Magnetic Resonance Imaging , volume =. doi:https://doi.org/10.1002/jmri.25210 , year =

  9. [9]

    The impact of head orientation with respect to B(0) on diffusion tensor MRI measures

    Kleban, Elena and Jones, Derek K and Tax, Chantal M W. The impact of head orientation with respect to B(0) on diffusion tensor MRI measures. Imaging Neurosci (Camb)

  10. [10]

    and Kusmia, Slawomir and Tax, Chantal M

    Molendowska, Malwina and Fasano, Fabrizio and Rudrapatna, Umesh and Kimmlingen, Ralph and Jones, Derek K. and Kusmia, Slawomir and Tax, Chantal M. W. and Evans, C. John , title =. Magnetic Resonance in Medicine , volume =. doi:https://doi.org/10.1002/mrm.29118 , url =

  11. [11]

    Improved optimization for the robust and accurate linear registration and motion correction of brain images

    Jenkinson, Mark and Bannister, Peter and Brady, Michael and Smith, Stephen. Improved optimization for the robust and accurate linear registration and motion correction of brain images. Neuroimage

  12. [12]

    Hines, M. L. and Carnevale, N. T. , year =. The. Neural Computation , shortjournal =. doi:10.1162/neco.1997.9.6.1179 , pages =

  13. [13]

    and Finn, Kathleen E

    Gaines, Jessica L. and Finn, Kathleen E. and Slopsema, Julia P. and Heyboer, Lane A. and Polasek, Katharine H. , year =. A model of motor and sensory axon activation in the median nerve using surface electrical stimulation , volume =. Journal of Computational Neuroscience , shortjournal =. doi:10.1007/s10827-018-0689-5 , pages =

  14. [14]

    Magnetic resonance in medicine , volume=

    Investigating cardiac stimulation limits of MRI gradient coils using electromagnetic and electrophysiological simulations in human and canine body models , author=. Magnetic resonance in medicine , volume=. 2021 , publisher=

  15. [15]

    and Tax, C.M.W and Klomp, D and Vermulst, B and Siero, J and Van Straalen, J and Heintges, M and Versteeg, E

    Van Ieperen, A. and Tax, C.M.W and Klomp, D and Vermulst, B and Siero, J and Van Straalen, J and Heintges, M and Versteeg, E. , pages =. 2022 , booktitle =

  16. [17]

    and van Leeuwen, Carel C

    Versteeg, Edwin and van der Velden, Tijl A. and van Leeuwen, Carel C. and Borgo, Martino and Huijing, Erik R. and Hendriks, Arjan D. and Hendrikse, Jeroen and Klomp, Dennis W. J. and Siero, Jeroen C. W. , title =. NMR in Biomedicine , volume =. doi:https://doi.org/10.1002/nbm.4499 , url =. https://analyticalsciencejournals.onlinelibrary.wiley.com/doi/pdf/...

  17. [18]

    Image quality and subject experience of quiet T1-weighted 7-T brain imaging using a silent gradient coil

    Jacobs, Sarah M and Versteeg, Edwin and van der Kolk, Anja G and Visser, Leonie N C and Oliveira, \'I caro A F and van Maren, Emiel and Klomp, Dennis W J and Siero, Jeroen C W. Image quality and subject experience of quiet T1-weighted 7-T brain imaging using a silent gradient coil. Eur Radiol Exp

  18. [19]

    and Koubiyr, I

    Mournet, Sandy and Okubo, G. and Koubiyr, I. and Zhang, B. and Kusahara, H. and Prevost, V. H. and Ichinose, N. and Triaire, B. and Hiba, B. and Dousset, V. and Tourdias, T. , title=. Neuroradiology , year=. doi:10.1007/s00234-020-02462-4 , url=

  19. [20]

    McNab and Brian L

    Jennifer A. McNab and Brian L. Edlow and Thomas Witzel and Susie Y. Huang and Himanshu Bhat and Keith Heberlein and Thorsten Feiweier and Kecheng Liu and Boris Keil and Julien Cohen-Adad and M. Dylan Tisdall and Rebecca D. Folkerth and Hannah C. Kinney and Lawrence L. Wald , keywords =. The Human Connectome Project and beyond: Initial applications of 300m...

  20. [21]

    Journal of Magnetic Resonance Imaging , volume =

    Moeller, Steen and Pisharady Kumar, Pramod and Andersson, Jesper and Akcakaya, Mehmet and Harel, Noam and Ma, Ruoyun(Emily) and Wu, Xiaoping and Yacoub, Essa and Lenglet, Christophe and Ugurbil, Kamil , title =. Journal of Magnetic Resonance Imaging , volume =. doi:https://doi.org/10.1002/jmri.27247 , url =. https://onlinelibrary.wiley.com/doi/pdf/10.1002...

  21. [22]

    Pruessmann, Markus Weiger, Markus B

    Pruessmann, Klaas P. and Weiger, Markus and Scheidegger, Markus B. and Boesiger, Peter , title =. Magnetic Resonance in Medicine , volume =. doi:https://doi.org/10.1002/(SICI)1522-2594(199911)42:5<952::AID-MRM16>3.0.CO;2-S , url =. https://onlinelibrary.wiley.com/doi/pdf/10.1002/ year =

  22. [23]

    Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome

    Huang, Susie Y and Witzel, Thomas and Keil, Boris and Scholz, Alina and Davids, Mathias and Dietz, Peter and Rummert, Elmar and Ramb, Rebecca and Kirsch, John E and Yendiki, Anastasia and Fan, Qiuyun and Tian, Qiyuan and Ramos-Llord \'e n, Gabriel and Lee, Hong-Hsi and Nummenmaa, Aapo and Bilgic, Berkin and Setsompop, Kawin and Wang, Fuyixue and Avram, Al...

  23. [24]

    Inversion in the steady state: contrast optimization and reduced imaging time with fast three-dimensional inversion-recovery-prepared GRE pulse sequences

    Foo, T K and Sawyer, A M and Faulkner, W H and Mills, D G. Inversion in the steady state: contrast optimization and reduced imaging time with fast three-dimensional inversion-recovery-prepared GRE pulse sequences. Radiology

  24. [26]

    Journal of Machine Learning Research , volume=

    Scikit-learn: Machine Learning in Python , author=. Journal of Machine Learning Research , volume=

  25. [27]

    and Alejski, Andrew and Rutt, Brian K

    Chronik, Blaine A. and Alejski, Andrew and Rutt, Brian K. , title =. Magnetic Resonance in Medicine , volume =. doi:https://doi.org/10.1002/1522-2594(200012)44:6<955::AID-MRM18>3.0.CO;2-1 , url =. https://onlinelibrary.wiley.com/doi/pdf/10.1002/1522-2594 year =

  26. [28]

    and Wu, Hsin-Hua and Nishimura, Dwight G

    Addy, Nicholas O. and Wu, Hsin-Hua and Nishimura, Dwight G. , title =. Magnetic Resonance in Medicine , year =. doi:10.1002/mrm.23217 , pmid =

  27. [29]

    and Yang, Yiping and Frank, Joseph A

    Duyn, Jeff H. and Yang, Yiping and Frank, Joseph A. and van der Veen, J. W. , title =. Journal of Magnetic Resonance , year =. doi:10.1006/jmre.1998.1396 , pmid =

  28. [30]

    Journal of Magnetic Resonance Imaging , volume =

    Guo, Yong and Cai, You-Quan and Cai, Zu-Long and Gao, Yuan-Gui and An, Ning-Yu and Ma, Lin and Mahankali, Srikanth and Gao, Jia-Hong , title =. Journal of Magnetic Resonance Imaging , volume =. doi:https://doi.org/10.1002/jmri.10140 , url =. https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.10140 , year =

  29. [31]

    and Korogi, Y

    Sugahara, T. and Korogi, Y. and Kochi, M. and Ikushima, I. and Shigematu, Y. and Hirai, T. and Okuda, T. and Liang, L. and Ge, Y. and Komohara, Y. and Ushio, Y. and Takahashi, M. , title =. Journal of Magnetic Resonance Imaging , year =. doi:10.1002/(sici)1522-2586(199901)9:1<53::aid-jmri7>3.0.co;2-2 , pmid =

  30. [32]

    and Sebire, Neil J

    Humphries, Paul D. and Sebire, Neil J. and Siegel, Marilyn J. and Olsen,. Tumors in Pediatric Patients at Diffusion-weighted MR Imaging: Apparent Diffusion Coefficient and Tumor Cellularity , journal =. 2007 , doi =

  31. [33]

    and Belli, P

    Costantini, M. and Belli, P. and Rinaldi, P. and Bufi, E. and Giardina, G. and Franceschini, G. and Petrone, G. and Bonomo, L. , title =. Clinical Radiology , year =. doi:10.1016/j.crad.2010.07.008 , pmid =

  32. [34]

    and Elsaid, Nahla M

    Zhang, Horace Z. and Elsaid, Nahla M. H. and Nixon, Terence W. and Dewdney, Andrew and Peters, Dana C. and Weinreb, Jeffrey C. and Sprenkle, Preston C. and Constable, R. Todd and Galiana, Gigi , title =. Magnetic Resonance in Medicine , year =. doi:https://doi.org/10.1002/mrm.70252 , url =

  33. [35]

    and Zhang, Y

    Wang, X. and Zhang, Y. and Cheng, J. and Lin, L. and Hu, Y. and Wang, A. and Zhang, Y. and Wang, R. and Li, Y. and Zhang, K. and Zhang, W. , title =. Frontiers in Oncology , year =. doi:10.3389/fonc.2025.1498691 , pmid =

  34. [36]

    Hottat, N. A. and Badr, D. A. and Lecomte, S. and others , title =. Scientific Reports , year =. doi:10.1038/s41598-023-27787-x , url =

  35. [37]

    and Skwierawska, D

    Bachl, M. and Skwierawska, D. and Hadler, D. and Schreiter, H. and Uder, M. and Janka, R. and Laun, F. B. and Bickelhaupt, S. , title =. Investigative Radiology , year =. doi:10.1097/RLI.0000000000001171 , pmid =

  36. [38]

    Qiuyun Fan and Cornelius Eichner and Maryam Afzali and Lars Mueller and Chantal M.W. Tax and Mathias Davids and Mirsad Mahmutovic and Boris Keil and Berkin Bilgic and Kawin Setsompop and Hong-Hsi Lee and Qiyuan Tian and Chiara Maffei and Gabriel Ramos-Llordén and Aapo Nummenmaa and Thomas Witzel and Anastasia Yendiki and Yi-Qiao Song and Chu-Chung Huang a...

  37. [39]

    and Jia, F

    Littin, S. and Jia, F. and Amrein, P. and Yu, H. and Magill, A. W. and Kuder, T. A. and Ladd, M. E. and Laun, F. and Bickelhaupt, S. and Zaitsev, M. , title =. Proceedings of the ISMRM Virtual Conference and Exhibition , year =

  38. [40]

    Spees and Niels Buhl and Peng Sun and Joseph J.H

    William M. Spees and Niels Buhl and Peng Sun and Joseph J.H. Ackerman and Jeffrey J. Neil and Joel R. Garbow , keywords =. Quantification and compensation of eddy-current-induced magnetic-field gradients , journal =. 2011 , issn =. doi:https://doi.org/10.1016/j.jmr.2011.06.016 , url =

  39. [41]

    , title =

    Rakow-Penner, Rebecca and Daniel, Bruce and Yu, Huanzhou and Sawyer-Glover, Anne and Glover, Gary H. , title =. Journal of Magnetic Resonance Imaging , volume =. doi:https://doi.org/10.1002/jmri.20469 , url =. https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.20469 , year =

  40. [42]

    2026 , eprint=

    Design of a double breast gradient coil with controlled anterior posterior gradient variation for diffusion weighted imaging , author=. 2026 , eprint=

  41. [43]

    Cancer Science , volume =

    Zhao, Yu and Zhao, Feng and Cheng, Meng and Wang, Gang and Wang, Dan and Yin, Huijuan and Xue, Zhixiao and Chen, Yule and Zhao, Zhen and Ma, Hui and Zhang, Xiaoxiao and Wang, Junping and Li, Fengtan , title =. Cancer Science , volume =. doi:https://doi.org/10.1111/cas.70036 , url =. https://onlinelibrary.wiley.com/doi/pdf/10.1111/cas.70036 , year =

  42. [44]

    and Liu, F

    Wu, L. and Liu, F. and Li, S. and Luo, X. and Wang, Y. and Zhong, W. and Feiweier, T. and Xu, J. and Bao, H. and Shi, D. and Guo, H. , title =. Radiology and Oncology , year =. doi:10.2478/raon-2025-0044 , pmid =

  43. [45]

    Scientific Reports , year =

    Someya, Yuko and Iima, Mami and Imai, Hirohiko and Yoshizawa, Akihiko and Kataoka, Masako and Isoda, Hiroyoshi and Le Bihan, Denis and Nakamoto, Yuji , title =. Scientific Reports , year =. doi:10.1038/s41598-022-10081-7 , url =

  44. [46]

    2026 , booktitle=

    Industrial Prototype of a bilateral local breast gradient coil for diffusion encoding and supersonic readout , author=. 2026 , booktitle=

  45. [50]

    2018 , journal =

    Weiger, Markus and Overweg, Johan and R. 2018 , journal =. doi:10.1002/mrm.26954 , issn =

  46. [51]

    2023 , booktitle =

    Yao, Fei Fei and Zhang, Yan , month =. 2023 , booktitle =. doi:10.1016/j.clinimag.2023.03.016 , issn =

  47. [52]

    and Iima, Mami and Mann, Ritse M

    Lo Gullo, Roberto and Sevilimedu, Varadan and Baltzer, Pascal and Le Bihan, Denis and Camps-Herrero, Julia and Clauser, Paola and Gilbert, Fiona J. and Iima, Mami and Mann, Ritse M. and Partridge, Savannah C. and Patterson, Andrew and Sigmund, Eric E. and Thakur, Sunitha and Thibault, Fabienne E. and Martincich, Laura and Pinker, Katja , number =. 2022 , ...

  48. [53]

    2019 , journal =

    Vidi. 2019 , journal =. doi:10.1002/jmri.26772 , issn =

  49. [54]

    Muge , number =

    Mehta, Rahul and Bu, Yangyang and Zhong, Zheng and Dan, Guangyu and Zhong, Ping Shou and Zhou, Changyu and Hu, Weihong and Zhou, Xiaohong Joe and Xu, Maosheng and Wang, Shiwei and Karaman, M. Muge , number =. 2023 , journal =. doi:10.1088/1361-6560/acbde0 , issn =

  50. [55]

    2014 , journal =

    Wu, Dongmei and Li, Guanwu and Zhang, Junxiang and Chang, Shixing and Hu, Jiani and Dai, Yongming , number =. 2014 , journal =. doi:10.1371/journal.pone.0113240 , issn =

  51. [56]

    2022 , journal =

    Rodr. 2022 , journal =. doi:10.1002/mrm.29090 , issn =

  52. [57]

    2022 , journal =

    Amrein, Philipp and Jia, Feng and Zaitsev, Maxim and Littin, Sebastian , number =. 2022 , journal =. doi:10.1002/mrm.29294 , issn =

  53. [58]

    2023 , journal =

    Zhang, Lan and Zhou, Xin Xiang and Liu, Lu and Liu, Ao Yu and Zhao, Wen Juan and Zhang, Hong Xia and Zhu, Yue Min and Kuai, Zi Xiang , number =. 2023 , journal =. doi:10.1002/jmri.28611 , issn =

  54. [59]

    and Narahari, Krishna and Fasano, Fabrizio and Jones, Derek K

    Molendowska, Malwina and Palombo, Marco and Foley, Kieran G. and Narahari, Krishna and Fasano, Fabrizio and Jones, Derek K. and Alexander, Daniel C. and Panagiotaki, Eleftheria and Tax, Chantal M.W. , publisher =. 2024 , journal =. doi:10.1002/nbm.5229 , issn =

  55. [60]

    2019 , booktitle =

    Tang, Lei and Zhou, Xiaohong Joe , number =. 2019 , booktitle =. doi:10.1002/jmri.26293 , issn =

  56. [61]

    and Ohno Kishimoto, Ayami and Kataoka, Masako and Togashi, Kaori , number =

    Iima, Mami and Honda, Maya and Sigmund, Eric E. and Ohno Kishimoto, Ayami and Kataoka, Masako and Togashi, Kaori , number =. 2020 , journal =. doi:10.1002/jmri.26908 , issn =

  57. [62]

    2021 , journal =

    Wu, Dan and Liu, Dapeng and Hsu, Yi Cheng and Li, Haotian and Sun, Yi and Qin, Qin and Zhang, Yi , number =. 2021 , journal =. doi:10.1002/mrm.28401 , issn =

  58. [63]

    2023 , journal =

    Ba, Ruicheng and Wang, Xiaoxia and Zhang, Zelin and Li, Qing and Sun, Yi and Zhang, Jiuquan and Wu, Dan , number =. 2023 , journal =. doi:10.1007/s00330-023-09623-y , issn =

  59. [64]

    2013 , journal =

    Ochi, Miho and Kuroiwa, Toshiro and Sunami, Shunya and Murakami, Junji and Miyahara, Shinichiro and Nagaie, Takashi and Oya, Masafumi and Yabuuchi, Hidetake and Hatakenaka, Masamitsu , number =. 2013 , journal =. doi:10.1007/s12282-011-0319-9 , issn =

  60. [65]

    and Baltzer, Pascal A.T

    Clauser, Paola and Krug, Barbara and Bickel, Hubert and Dietzel, Matthias and Pinker, Katja and Neuhaus, Victor Frederic and Marino, Maria Adele and Moschetta, Marco and Troiano, Nicoletta and Helbich, Thomas H. and Baltzer, Pascal A.T. , number =. 2021 , journal =. doi:10.1158/1078-0432.CCR-20-3037 , issn =

  61. [66]

    2022 , booktitle =

    Meyer, Hans Jonas and Wienke, Andreas and Surov, Alexey , number =. 2022 , booktitle =. doi:10.1159/000514407 , issn =

  62. [67]

    Jung and Park, Seo Young and Kim, Hak Hee and Moon, Woo Kyung , number =

    Shin, Hee Jung and Lee, Su Hyun and Park, Vivian Youngjean and Yoon, Jung Hyun and Kang, Bong Joo and Yun, Bo La and Kim, Tae Hee and Ko, Eun Sook and Han, Boo Kyung and Chu, A. Jung and Park, Seo Young and Kim, Hak Hee and Moon, Woo Kyung , number =. 2021 , journal =. doi:10.4048/jbc.2021.24.e19 , issn =

  63. [68]

    , number =

    Amornsiripanitch, Nita and Bickelhaupt, Sebastian and Shin, Hee Jung and Dang, Madeline and Rahbar, Habib and Pinker, Katja and Partridge, Savannah C. , number =. 2019 , journal =. doi:10.1148/radiol.2019182789 , issn =

  64. [69]

    and Helpern, Joseph A

    Jensen, Jens H. and Helpern, Joseph A. and Ramani, Anita and Lu, Hanzhang and Kaczynski, Kyle , number =. 2005 , journal =. doi:10.1002/mrm.20508 , issn =

  65. [70]

    and Rodr

    Sjaastad Andreassen, Maren M. and Rodr. 2021 , journal =. doi:10.1158/1078-0432.CCR-20-2017 , issn =

  66. [71]

    and Mazaheri, Yousef and Fung, Maggie and Westin, Carl Fredrik and Yeo, Desmond T.B

    Zhu, Ante and Tarasek, Matthew and Hua, Yihe and Fiveland, Eric and Maier, Stephan E. and Mazaheri, Yousef and Fung, Maggie and Westin, Carl Fredrik and Yeo, Desmond T.B. and Szczepankiewicz, Filip and Tempany, Clare and Akin, Oguz and Foo, Thomas K.F. , number =. 2024 , journal =. doi:10.1002/mrm.29874 , issn =

  67. [72]

    2018 , journal =

    Iima, Mami and Kataoka, Masako and Kanao, Shotaro and Onishi, Natsuko and Kawai, Makiko and Ohashi, Akane and Sakaguchi, Rena and Toi, Masakazu and Togashi, Kaori , number =. 2018 , journal =. doi:10.1148/radiol.2017162853 , issn =

  68. [73]

    and McKinley, Eliot T

    Xu, Junzhong and Jiang, Xiaoyu and Li, Hua and Arlinghaus, Lori R. and McKinley, Eliot T. and Devan, Sean P. and Hardy, Benjamin M. and Xie, Jingping and Kang, Hakmook and Chakravarthy, A. Bapsi and Gore, John C. , number =. 2020 , journal =. doi:10.1002/mrm.28056 , issn =

  69. [75]

    2015 , booktitle =

    Iima, Mami and Yano, Kojiro and Kataoka, Masako and Umehana, Masaki and Murata, Katsutoshi and Kanao, Shotaro and Togashi, Kaori and Le Bihan, Denis , number =. 2015 , booktitle =

  70. [76]

    2019 , journal =

    Ohlmeyer, Sabine and Laun, Frederik Bernd and Palm, Theresa and Janka, Rolf and Weiland, Elisabeth and Uder, Michael and Wenkel, Evelyn , number =. 2019 , journal =. doi:10.1097/RLI.0000000000000560 , issn =

  71. [77]

    2023 , journal =

    Ogawa, Masaki and Kan, Hirohito and Urano, Misugi and Kawai, Tatsuya and Nakajima, Haruna and Murai, Kazuma and Miyaji, Hirotaka and Toyama, Tatsuya and Hiwatashi, Akio , month =. 2023 , journal =. doi:10.1016/j.mri.2023.04.006 , issn =

  72. [78]

    2022 , journal =

    Wu, Dan and Jiang, Kewen and Li, Hai and Zhang, Zelin and Ba, Ruicheng and Zhang, Yi and Hsu, Yi Cheng and Sun, Yi and Zhang, Yu Dong , number =. 2022 , journal =. doi:10.1148/radiol.211180 , issn =

  73. [79]

    2017 , booktitle =

    Reynaud, Olivier , number =. 2017 , booktitle =. doi:10.3389/fphy.2017.00058 , issn =

  74. [80]

    2021 , journal =

    Ohlmeyer, Sabine and Laun, Frederik Bernd and Bickelhaupt, Sebastian and Palm, Theresa and Janka, Rolf and Weiland, Elisabeth and Uder, Michael and Wenkel, Evelyn , number =. 2021 , journal =. doi:10.1097/RLI.0000000000000784 , issn =

  75. [81]

    2021 , journal =

    Jerome, Neil Peter and Vidi. 2021 , journal =. doi:10.1002/nbm.4508 , issn =

  76. [82]

    and Romanoff, Justin and Kitsch, Averi E

    Rahbar, Habib and Zhang, Zheng and Chenevert, Thomas L. and Romanoff, Justin and Kitsch, Averi E. and Hanna, Lucy G. and Harvey, Sara M. and Moy, Linda and DeMartini, Wendy B. and Dogan, Basak and Yang, Wei T. and Wang, Lilian C. and Joe, Bonnie N. and Oh, Karen Y. and Neal, Colleen H. and McDonald, Elizabeth S. and Schnall, Mitchell D. and Lehman, Consta...

  77. [83]

    and Grimm, Lars J

    Saha, Ashirbani and Harowicz, Michael R. and Grimm, Lars J. and Kim, Connie E. and Ghate, Sujata V. and Walsh, Ruth and Mazurowski, Maciej A. , number =. 2018 , journal =. doi:10.1038/s41416-018-0185-8 , issn =

  78. [84]

    2025 , journal =

    Su, Yun and Qiu, Ya and Huang, Xingke and Peng, Yuqin and Yang, Zehong and Ding, Miamiao and Hu, Lanxin and Wang, Yishi and Zhao, Chen and Qian, Wenshu and Zhang, Xiang and Shen, Jun , number =. 2025 , journal =. doi:10.1148/rycan.240287 , issn =

  79. [85]

    and Jensen, Anders B

    Buus, Thomas W. and Jensen, Anders B. and Pedersen, Erik M. , number =. 2020 , journal =. doi:10.1002/jmri.26873 , issn =

  80. [86]

    and Iima, Mami and Sigmund, Eric E

    Baltzer, Pascal and Mann, Ritse M. and Iima, Mami and Sigmund, Eric E. and Clauser, Paola and Gilbert, Fiona J. and Martincich, Laura and Partridge, Savannah C. and Patterson, Andrew and Pinker, Katja and Thibault, Fabienne and Camps-Herrero, Julia and Le Bihan, Denis , number =. 2020 , journal =. doi:10.1007/s00330-019-06510-3 , issn =

Showing first 80 references.