The design of anisotropic diffusion phantoms for the validation of diffusion weighted magnetic resonance imaging
Open accessAbstract
Diffusion weighted magnetic resonance imaging offers a non-invasive tool to explore the three-dimensional structure of brain white matter in clinical practice. Anisotropic diffusion hardware phantoms are useful for the quantitative validation of this technique. This study provides guidelines on how to manufacture anisotropic fibre phantoms in a reproducible way and which fibre material to choose to obtain a good quality of the diffusion weighted images. Several fibre materials are compared regarding their effect on the diffusion MR measurements of the water molecules inside the phantoms. The diffusion anisotropy influencing material properties are the fibre density and diameter, while the fibre surface relaxivity and magnetic susceptibility determine the signal-to-noise ratio. The effect on the T(2)-relaxation time of water in the phantoms has been modelled and the diffusion behaviour inside the fibre phantoms has been quantitatively evaluated using Monte Carlo random walk simulations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Ex vivo imaging and tracing or physically and numerically simulated phantoms allow validation to some extent, and in specific circumstances such as basic fiber configurations.
“Ex vivo imaging and tracing17–23 or physically24–30 and numerically simulated phantoms31–34 allow validation to some extent, and in specific circumstances such as basic fiber configurations.”
From Tractography-based connectomes are dominated by false-positive connections (2016) · cites this paper as [25]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Estimation of the Effective Self-Diffusion Tensor from the NMR Spin Echo
Basser, P. J., Mattiello, J., & Bihan, D. L. (1994) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1994.1037 · Cited by 3,656 · see citing works
Diffusion tensor MR imaging of the human brain
Pierpaoli, C., Jezzard, P., Basser, P. J., Barnett, A., & Di Chiro, G. (1996) · Radiology · doi:10.1148/radiology.201.3.8939209 · Cited by 2,664 · see citing works
Schenck, J. F. (1996) · Medical Physics · doi:10.1118/1.597854 · Cited by 1,537 · see citing works
Basser, P. J. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080707 · Cited by 1,526 · see citing works
Diffusion‐tensor MRI: theory, experimental design and data analysis – a technical review
Basser, P. J., & Jones, D. K. (2002) · NMR in Biomedicine · doi:10.1002/nbm.783 · Cited by 1,484 · see citing works
Reduction of eddy‐current‐induced distortion in diffusion MRI using a twice‐refocused spin echo
Reese, T. G., Heid, O., Weisskoff, R. M., & Wedeen, V. J. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10308 · Cited by 1,229 · see citing works
Microscopic susceptibility variation and transverse relaxation: Theory and experiment
Weisskoff, R. M., Zuo, C. S., Boxerman, J. L., & Rosen, B. R. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310605 · Cited by 714 · see citing works
Short-time behavior of the diffusion coefficient as a geometrical probe of porous media
Mitra, P. P., Sen, P. N., & Schwartz, L. M. (1993) · Physical review. B, Condensed matter · doi:10.1103/physrevb.47.8565 · Cited by 581 · see citing works
Diffusion propagator as a probe of the structure of porous media
Mitra, P. P., Sen, P. N., Schwartz, L. M., & Doussal, P. L. (1992) · Physical Review Letters · doi:10.1103/physrevlett.68.3555 · Cited by 567 · see citing works
Assaf, Y., Freidlin, R. Z., Rohde, G. K., & Basser, P. J. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20274 · Cited by 519 · see citing works
(2003) · Wiley eBooks · doi:10.1002/0470869526 · Cited by 347 · see citing works
Quantitative MRI of the brain : measuring changes caused by disease
Tofts, P. S. (2003) · Wiley eBooks · Cited by 321 · see citing works
The “wet mind”: Water and functional neuroimaging
Bihan, D. L. (2007) · Physics in Medicine and Biology · doi:10.1088/0031-9155/52/7/r02 · Cited by 320 · see citing works
Kleinberg, R. L. K. (1996) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(96)00161-0 · Cited by 297 · see citing works
A Model for Diffusion in White Matter in the Brain
Sen, P. N., & Basser, P. J. (2005) · Biophysical Journal · doi:10.1529/biophysj.105.063016 · Cited by 266 · see citing works
Descoteaux, M., Angelino, E. L., Fitzgibbons, S., & Rachid Deriche, B. (2006) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20948 · Cited by 235 · see citing works
Lin, C., Wedeen, V. J., Chen, J., Yao, C., & Tseng, W. I. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00154-x · Cited by 225 · see citing works
Magnetic Resonance Imaging in Food Science
Hills, B. P. (1995) · Springer eBooks · doi:10.1007/978-1-4615-2145-7_14 · Cited by 191 · see citing works
Neeman, M., Freyer, J. P., & Sillerud, L. O. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910210117 · Cited by 177 · see citing works
Campbell, J. S. W., Siddiqi, K., Rymar, V. V., Sadikot, A. F., & Pike, G. B. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.05.014 · Cited by 177 · see citing works
NMR wettability indices: Effect of OBM on wettability and NMR responses
Chen, J., Hirasaki, G. J., & Flaum, M. (2006) · Journal of Petroleum Science and Engineering · doi:10.1016/j.petrol.2006.03.007 · Cited by 140 · see citing works
Validation of q -ball imaging with a diffusion fibre-crossing phantom on a clinical scanner
Perrin, M., Poupon, C., Rieul, B., Leroux, P., Constantinesco, A., Mangin, J., & Bihan, D. L. (2005) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2005.1650 · Cited by 135 · see citing works
Magnetic resonance as a probe of permeability in porous media
Banavar, J. R., & Schwartz, L. M. (1987) · Physical Review Letters · doi:10.1103/physrevlett.58.1411 · Cited by 132 · see citing works
Prospective multiaxial motion correction for fMRI
Ward, H. A., Riederer, S. J., Grimm, R. C., Ehman, R. L., Felmlee, J. P., & Jack, C. R. (2000) · Magnetic Resonance in Medicine · doi:10.1002/(sici)1522-2594(200003)43:3 · Cited by 132 · see citing works
Simulation and experimental verification of the diffusion in an anisotropic fiber phantom
Fieremans, E., Deene, Y. D., Delputte, S., Ozdemir, M., D’Asseler, Y., Vlassenbroeck, J., Deblaere, K., Achten, E., & Lemahieu, I. A. (2007) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2007.10.014 · Cited by 127 · see citing works
Self-citationEffects of susceptibility variations on NMR measurements of diffusion
Zhong, J., Kennan, R. P., & Gore, J. C. (1991) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(91)90217-h · Cited by 125 · see citing works
On the accuracy of monomer/polymer gel dosimetry in the proximity of a high-dose-rate192Ir source
Deene, Y. D., Reynaert, N., & Wagter, C. D. (2001) · Physics in Medicine and Biology · doi:10.1088/0031-9155/46/11/304 · Cited by 123 · see citing works
Surface relaxation and the long-time diffusion coefficient in porous media: Periodic geometries
Sen, P. N., Schwartz, L. M., Mitra, P. P., & Halperin, B. I. (1994) · Physical review. B, Condensed matter · doi:10.1103/physrevb.49.215 · Cited by 122 · see citing works
Madi, S., Hasan, K. M., & Narayana, P. A. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20304 · Cited by 95 · see citing works
Orientational diffusion reflects fiber structure within a voxel
Hagen, E. V. D., & Henkelman, R. M. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10250 · Cited by 88 · see citing works
Mathematical framework for simulating diffusion tensor MR neural fiber bundles
Leemans, A., Sijbers, J., Verhoye, M., der Linden, A. V., & Dyck, D. V. (2005) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20418 · Cited by 79 · see citing works
Developing a quality control protocol for diffusion imaging on a clinical MRI system
Delakis, I., Moore, E., Leach, M. O., & Wilde, J. P. D. (2004) · Physics in Medicine and Biology · doi:10.1088/0031-9155/49/8/003 · Cited by 65 · see citing works
Determination of surface relaxivity from NMR diffusion measurements
Slijkerman, W. F. J., & Hofman, J. P. (1998) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(98)00058-7 · Cited by 64 · see citing works
Suppression of background gradients in (B0 gradient‐based) NMR diffusion experiments
Zheng, G. F., & Price, W. S. (2007) · Concepts in Magnetic Resonance Part A · doi:10.1002/cmr.a.20092 · Cited by 62 · see citing works
Bacterial adhesion to silica sand as related to Gibbs energy variations
Chen, G., & Zhu, H. (2005) · Colloids and Surfaces B Biointerfaces · doi:10.1016/j.colsurfb.2005.05.012 · Cited by 56 · see citing works
Yanasak, N. E., & Allison, J. D. (2006) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2006.08.001 · Cited by 55 · see citing works
Borgia, G. C., Brown, R. J., & Fantazzini, P. (1995) · Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics · doi:10.1103/physreve.51.2104 · Cited by 46 · see citing works
Echo planar magnetic resonance imaging of anisotropic diffusion in asparagus stems
Boujraf, S., Luypaert, R., Eisendrath, H., & Osteaux, M. (2001) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/bf02668156 · Cited by 44 · see citing works
Lätt, J., Nilsson, M., Rydhög, A. S., Wirestam, R., Ståhlberg, F., & Brockstedt, S. (2007) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-007-0085-z · Cited by 44 · see citing works
The Effect of Inhomogeneous Sample Susceptibility on Measured Diffusion Anisotropy Using NMR Imaging
Trudeau, J. D., Dixon, W. T., & Hawkins, J. (1995) · Journal of Magnetic Resonance Series B · doi:10.1006/jmrb.1995.1098 · Cited by 43 · see citing works
Reduction of magnetic susceptibility broadening in NMR by susceptibility matching
Stoll, M. E., & Majors, T. J. (1982) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(82)90143-3 · Cited by 30 · see citing works
Dehydration of Glass Surfaces Studied by Contact Angle Measurements
Engländer, T., Wiegel, D., Naji, L., & Arnold, K. (1996) · Journal of Colloid and Interface Science · doi:10.1006/jcis.1996.0260 · Cited by 28 · see citing works
Freidlin, R. Z., Özarslan, E., Komlosh, M. E., Chang, L., Koay, C. G., Jones, D. K., & Basser, P. J. (2007) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.907294 · Cited by 27 · see citing works
Multiple echo diffusion tensor acquisition technique
Sigmund, E. E., & Song, Y. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2005.10.015 · Cited by 26 · see citing works
Echo planar magnetic resonance imaging of anisotropic diffusion in asparagus stems
Boujraf, S. (2001) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1016/s1352-8661(01)00132-6 · Cited by 5 · see citing works
γ-Encoding transform NMR for uniaxially oriented samples
Nishiyama, Y., & Terao, T. (2002) · Chemical Physics Letters · doi:10.1016/s0009-2614(01)01504-4 · Cited by 4 · see citing works
Magnetic study of changes in the arranged contribution in polyamide fibres
Rákoš, M., Varga, Z., & Šimo, R. (1968) · Czechoslovak Journal of Physics · doi:10.1007/bf01691361 · Cited by 2 · see citing works
Phantom optimization for diffusion tensor magnetic resonance imaging
Fieremans, E., Delputte, S., Deene, Y. D., D’Asseler, Y., Achten, E., Lemahieu, I. A., & Rik Van De Walle, B. (2006) · Ghent University Academic Bibliography (Ghent University) · Cited by 2 · see citing works
Self-citationInitial results of a hardware diffusion head phantom
Fieremans, E., Delputte, S., Deene, Y. D., Deblaere, K., Truyens, B., D’Asseler, Y., Achten, E., Lemahieu, I. A., & Rik Van De Walle, B. (2005) · Ghent University Academic Bibliography (Ghent University) · Cited by 1 · see citing works
Self-citationBasser (2000) · doi:10.1002/1522-2594(200010)44:4
Flagged first, then by citations
Research works printed but not linked: 7
- Cho K, Yeh C, Chao Y, Chen J and Lin C 2006 Accuracy assessment of q-ball imaging with phantom models Proc. ISMRM 14th Scientific Meeting (Seattle, USA) p 642
- Laun F B, Stieltjes B, Huff S and Schad L R 2007 Investigation of a DTI-phantom with properties similar to in vivo neuronal tissue Proc. ISMRM 15th Scientific Meeting (Berlin, Germany) p 1526
- Lorenz R, Kreher B W, Hennig J, Belleman M E and Il'Yasov K A 2006 Anisotropic fiber phantom for DTI validation on a clinical scanner Proc. ISMRM 14th Scientific Meeting (Seattle, USA) p 2738
- Poupon C, Rieul B, Perrin M, Mangin J F and Le Bihan D 2007 New diffusion phantoms dedicated to study and validation of Hardi diffusion models Proc. ISMRM 15th Scientific Meeting (Berlin, Germany) p 907
- Pullens W L, Roebroeck A and Goebel R 2007 Kissing or crossing: validation of DTI tractography in ground truth hardware phantoms Proc. ISMRM 15th Scientific Meeting (Berlin, Germany) p 1479
- Raguin L G, Hernando D, Karampinos D, Ciobanu L, Sutton B P, Liang Z P and Georgiadis J G 2006 Quantitative analysis of q-space MRI data: theoretical and experimental validation Proc. ISMRM 14th Scientific Meeting (Seattle, USA) p 2729
- Reischauer C, Staempfli P, Jaermann T, Kollias S and Boesiger P 2007 Development of a temperature controlled anisotropic diffusion phantom Proc. ISMRM 15th Scientific Meeting (Berlin, Germany) p 3535
Cited by
Sorted by citations
Tractography-based connectomes are dominated by false-positive connections
Maier-Hein, K. H., Neher, P., Houde, J.-C., Côté, M.-A., Garyfallidis, E., Zhong, J., Chamberland, M., Yeh, F.-C., Lin, Y.-C., Ji, Q., et al. (2016) · doi:10.1101/084137 · Cited by 1,361 · see citing works
Quantitative evaluation of 10 tractography algorithms on a realistic diffusion MR phantom
Fillard, P., Descoteaux, M., Goh, A., Gouttard, S., Jeurissen, B., Malcolm, J., Ramirez-Manzanares, A., Reisert, M., Sakaie, K., Tensaouti, F., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.032 · Cited by 418 · see citing works
Design and Validation of Diffusion MRI Models of White Matter
Jelescu, I. O., & Budde, M. D. (2017) · Frontiers in Physics · doi:10.3389/fphy.2017.00061 · Cited by 240 · see citing works
Tractometer: Towards validation of tractography pipelines
Côté, M.-A., Girard, G., Boré, A., Garyfallidis, E., Houde, J.-C., & Descoteaux, M. (2013) · Medical Image Analysis · doi:10.1016/j.media.2013.03.009 · Cited by 228 · see citing works
Mesoscopic structure of neuronal tracts from time-dependent diffusion
Burcaw, L. M., Fieremans, E., & Novikov, D. S. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.061 · Cited by 229 · see citing works
Self-citationHistological validation of diffusion MRI fiber orientation distributions and dispersion
Schilling, K. G., Janve, V., Gao, Y., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.046 · Cited by 195 · see citing works
Mollink, J., Kleinnijenhuis, M., van Walsum, A. V. C., Sotiropoulos, S. N., Cottaar, M., Mirfin, C., Heinrich, M. P., Jenkinson, M., Pallebage‐Gamarallage, M. M., Ansorge, O., et al. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.001 · Cited by 173 · see citing works
Dance on the Brain: Enhancing Intra- and Inter-Brain Synchrony
Basso, J. C., Satyal, M. K., & Rugh, R. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.584312 · Cited by 162 · see citing works
Physical and numerical phantoms for the validation of brain microstructural MRI: A cookbook
Fieremans, E., & Lee, H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.046 · Cited by 119 · see citing works
Self-citationPost mortem mapping of connectional anatomy for the validation of diffusion MRI
Yendiki, A., Aggarwal, M., Axer, M., Howard, A. F. D., van Walsum, A. V. C., & Haber, S. N. (2022) · NeuroImage · doi:10.1016/j.neuroimage.2022.119146 · Cited by 110 · see citing works
Fiberfox: Facilitating the creation of realistic white matter software phantoms
Neher, P., Laun, F. B., Stieltjes, B., & Maier-Hein, K. H. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25045 · Cited by 112 · see citing works
Schilling, K. G., Janve, V. A., Gao, Y., Stepniewska, I., Landman, B. A., & Anderson, A. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.01.022 · Cited by 98 · see citing works
Diffusion MRI and anatomic tracing in the same brain reveal common failure modes of tractography
Grisot, G., Haber, S. N., & Yendiki, A. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118300 · Cited by 85 · see citing works
Dance and music training have different effects on white matter diffusivity in sensorimotor pathways
Giacosa, C., Karpati, F. J., Foster, N. E. V., Penhune, V. B., & Hyde, K. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.04.048 · Cited by 81 · see citing works
Aydogan, D. B., Jacobs, R., Dulawa, S., Thompson, S. L., Francois, M. C., Toga, A. W., Dong, H., Knowles, J. A., & Shi, Y. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1663-8 · Cited by 72 · see citing works
Neher, P., Descoteaux, M., Houde, J., Stieltjes, B., & Maier-Hein, K. H. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.10.011 · Cited by 68 · see citing works
High Angular Resolution Diffusion Imaging (HARDI)
Descoteaux, M. (2015) · Wiley Encyclopedia of Electrical and Electronics Engineering · doi:10.1002/047134608x.w8258 · Cited by 94 · see citing works
Yeh, C., Schmitt, B., Bihan, D. L., Li, J., Lin, C., & Poupon, C. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076626 · Cited by 56 · see citing works
Wagner, F. E., Laun, F. B., Kuder, T. A., Mlynarska-Bujny, A., Maier, F. C., Faust, J. F., Demberg, K., Lindemann, L., Rivkin, B. B., Nagel, A. M., et al. (2017) · PLoS ONE · doi:10.1371/journal.pone.0179276 · Cited by 51 · see citing works
Fan, Q., Nummenmaa, A. R., Wichtmann, B. D., Witzel, T., Mekkaoui, C., Schneider, W., Wald, L. L., & Huang, S. Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.01.004 · Cited by 48 · see citing works
Knöll, F., Raya, J. G., Halloran, R. O., Baete, S. H., Sigmund, E. E., Bammer, R., Block, K. T., Otazo, R., & Sodickson, D. K. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3258 · Cited by 46 · see citing works
Coaxially Electrospun Axon-Mimicking Fibers for Diffusion Magnetic Resonance Imaging
Zhou, F., Cristinacce, P. L. H., Eichhorn, S. J., & Parker, G. J. M. (2012) · ACS Applied Materials & Interfaces · doi:10.1021/am301919s · Cited by 37 · see citing works
Novel multisection design of anisotropic diffusion phantoms
Farrher, E., Kaffanke, J. B., Celik, A. A., Stöcker, T., Grinberg, F., & Shah, N. J. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.12.012 · Cited by 37 · see citing works
Tracking and validation techniques for topographically organized tractography
Aydogan, D. B., & Shi, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.071 · Cited by 28 · see citing works
Schilling, K. G., By, S., Feiler, H. R., Box, B. A., O’Grady, K. P., Witt, A. A., Landman, B. A., & Smith, S. A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116026 · Cited by 28 · see citing works
Guise, C., Fernandes, M. M., Nóbrega, J. M., Pathak, S., Schneider, W., & Fangueiro, R. M. E. S. (2016) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.6b09809 · Cited by 25 · see citing works
Biomimetic phantom for cardiac diffusion MRI
Teh, I., Zhou, F., Cristinacce, P. L. H., Parker, G. J. M., & Schneider, J. E. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25014 · Cited by 24 · see citing works
A biomimetic tumor tissue phantom for validating diffusion‐weighted MRI measurements
McHugh, D. J., Zhou, F., Wimpenny, I., Poologasundarampillai, G., Naish, J. H., Cristinacce, P. L. H., & Parker, G. J. M. (2017) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27016 · Cited by 24 · see citing works
Lemberskiy, G., Baete, S. H., Cloos, M. A., Novikov, D. S., & Fieremans, E. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3708 · Cited by 21 · see citing works
Self-citationAnisotropic diffusion phantoms based on microcapillaries
Vellmer, S., Edelhoff, D., Suter, D., & Maximov, I. I. (2017) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2017.04.002 · Cited by 17 · see citing works
A simple isotropic phantom for diffusional kurtosis imaging
Fieremans, E., Pires, A., & Jensen, J. H. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23263 · Cited by 17 · see citing works
Self-citationDesign and characterization of tissue‐mimicking gel phantoms for diffusion kurtosis imaging
Portakal-Uçar, Z. G., Shermer, S., Davies‐Jenkins, C. W., Spezi, E., Perrett, T., Tuncȩl, N., & Phillips, J. (2018) · Medical Physics · doi:10.1002/mp.12907 · Cited by 21 · see citing works
Suekuni, M. T., & Allgeier, A. M. (2023) · JACS Au · doi:10.1021/jacsau.3c00384 · Cited by 16 · see citing works
RAPID: A routine assurance pipeline for imaging of diffusion
Santis, S. D., Evans, J., & Jones, D. K. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24465 · Cited by 11 · see citing works
Farrher, E., Grinberg, F., Kuo, L., Cho, K., Buschbeck, R. P., Chen, M., Chiang, H., Choi, C., & Shah, N. J. (2020) · NMR in Biomedicine · doi:10.1002/nbm.4210 · Cited by 11 · see citing works
A multi-modality medical imaging head and neck phantom: Part 1. Design and fabrication
Deene, Y. D., Wheatley, M. J., Greig, T., Hayes, D., Ryder, W. J., & Loh, H. (2022) · Physica Medica · doi:10.1016/j.ejmp.2022.02.010 · Cited by 10 · see citing works
McHugh, D. J., Zhou, F., Cristinacce, P. L. H., Naish, J. H., & Parker, G. J. M. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-19992-4_14 · Cited by 10 · see citing works
Farrher, E., Lindemeyer, J., Grinberg, F., Oros‐Peusquens, A., & Shah, N. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0176192 · Cited by 8 · see citing works
Design and characterization of a 3D‐printed axon‐mimetic phantom for diffusion MRI
Mushtaha, F. N., Kuehn, T. K., El‐Deeb, O., Rohani, S. A., Helpard, L. W., Moore, J. T., Ladak, H. M., Moehring, A., Baron, C. A., & KHAN, A. R. (2021) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28886 · Cited by 7 · see citing works
Tachibana, A., Tachibana, Y., Kershaw, J., Sano, H., Fukushi, M., & Obata, T. (2017) · Magnetic Resonance in Medical Sciences · doi:10.2463/mrms.mp.2017-0079 · Cited by 7 · see citing works
Suzuki, M., Moriya, S., Hata, J., Tachibana, A., Senoo, A., & Niitsu, M. (2019) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-019-00761-3 · Cited by 6 · see citing works
On the Reliability of Diffusion Neuroimaging
Klein, J., Barbieri, S., Stuke, H., Bopp, M. H. A., Egger, J., Nimsky, C., & Hah, H. (2010) · Sciyo eBooks · doi:10.5772/9878 · Cited by 5 · see citing works
Diffusion phase-imaging in anisotropic media using non-linear gradients for diffusion encoding
Wochner, P., Schneider, T., Stockmann, J., Lee, J., & Sinkus, R. (2023) · PLoS ONE · doi:10.1371/journal.pone.0281332 · Cited by 5 · see citing works
Bertleff, M., Domsch, S., Laun, F. B., Kuder, T. A., & Schad, L. R. (2017) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2017.03.008 · Cited by 5 · see citing works
Quality Assurance for Diffusion MRI
Dowell, N. G., & Tofts, P. S. (2010) · Oxford University Press eBooks · doi:10.1093/med/9780195369779.003.0019 · Cited by 5 · see citing works
Microfluidic laminate-based phantom for diffusion tensor-magnetic resonance imaging
Samuel, R., Sant, H. J., Jiao, F., Johnson, C. R., & Gale, B. K. (2011) · Journal of Micromechanics and Microengineering · doi:10.1088/0960-1317/21/9/095027 · Cited by 4 · see citing works
A multi-modality medical imaging head and neck phantom: Part 2. Medical imaging
Deene, Y. D., Wheatley, M. J., Greig, T., Hayes, D., Ryder, W. J., & Loh, H. (2022) · Physica Medica · doi:10.1016/j.ejmp.2022.02.009 · Cited by 4 · see citing works
Mushtaha, F. N., Kuehn, T. K., El-Deeb, O., Rohani, S. A., Helpard, L. W., Moore, J., Ladak, H., Moehring, A. J., Baron, C. A., & Khan, A. R. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.02.185397 · Cited by 4 · see citing works
Novel pore size‐controlled, susceptibility matched, 3D‐printed MRI phantoms
Witherspoon, V. J., Komlosh, M. E., Benjamini, D., Özarslan, E., Lavrik, N. V., & Basser, P. J. (2024) · Magnetic Resonance in Medicine · doi:10.1002/mrm.30029 · Cited by 3 · see citing works
Gel Phantoms for Diffusion MRI Studies
Fieremans, E., & Deene, Y. D. (2020) · Royal Society of Chemistry eBooks · doi:10.1039/9781788013178-00379 · Cited by 3 · see citing works
Self-citationOn the Reliability of Quantitative Volumetric and Structural Neuroimaging
Klein, J., Laun, F. B., Erhard, P., Diehl, V., & Hahn, H. K. (2008) · Imaging Decisions MRI · doi:10.1111/j.1617-0830.2009.00128.x · Cited by 3 · see citing works
Wake, N., Ianniello, C., Brown, R., & Collins, C. M. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-77573-1.00007-5 · Cited by 2 · see citing works
Guzman, R. A. P., Naughton, N. M., Majumdar, S., Damon, B. M., & Kersh, M. E. (2023) · Annals of Biomedical Engineering · doi:10.1007/s10439-023-03420-w · Cited by 2 · see citing works
Tractography validation Part 1: Foundations, numerical simulations, and phantom models
Dyrby, T. B., Fieremans, E., Rheault, F., Anderson, A. W., Palombo, M., Sarubbo, S., Neher, P., & Schilling, K. G. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00017-3 · Cited by 2 · see citing works
Self-citationCo-electrospun Brain Mimetic Hollow Microfibres Fibres for Diffusion Magnetic Resonance Imaging
Zhou, F., Cristinacce, P. L. H., Eichhorn, S. J., & Parker, G. J. M. (2015) · Nanoscience and technology · doi:10.1007/978-3-319-14406-1_12 · Cited by 2 · see citing works
NOVEL PHANTOMS AND POST- PROCESSING FOR DIFFUSION SPECTRUM IMAGING
Juneja, V. (2012) · Digital Commons-TMC (Texas Medical Center) · Cited by 1 · see citing works
Diffusion Magnetic Resonance Imaging in Diffuse Low-Grade Gliomas
Pujol, S. (2017) · Springer eBooks · doi:10.1007/978-3-319-55466-2_20
Modeling Fiber Orientations Using Diffusion MRI
Christiaens, D., & Tournier, J. (2020) · Advances in magnetic resonance technology and applications · doi:10.1016/b978-0-12-817057-1.00022-6
Current Awareness in NMR in Biomedicine
(2009) · NMR in Biomedicine · doi:10.1002/nbm.1332
Zalesky, A., Sotiropoulos, S. N., Jbabdi, S., & Fornito, A. (2025) · Elsevier eBooks · doi:10.1016/b978-0-12-818894-1.00007-0
Yeh, C. H. (2011) · theses.fr (ABES) · doi:10.70675/f4176072zb6bbz4bcaz9910z394786ecf32a · Cited by 1 · see citing works
- Authors
- Fieremans, E., De Deene, Y., Delputte, S., Özdemir, M. S., Achten, E., & Lemahieu, I.
- Affiliations
- Ghent University (BE)
- Ghent University Hospital (BE)
- Venue
- Physics in Medicine and Biology
- Publisher
- IOP Publishing
- Published
- 2008-09-02
- Volume
- 53
- Issue
- 19
- Pages
- 5405-5419
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W1987747076
- Cited by
- 64
- References
- 50
- Citations by year
- 2025: 2 · 2024: 1 · 2023: 3 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 2 · 2018: 6 · 2017: 13 · 2016: 3 · 2015: 7 · 2013: 4 · 2012: 4
- FWCI
- 2.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion)
- Funders
- Belgische Federale Overheidsdiensten
- Vlaamse regering
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- diffusion-weighted imaging, white matter, phantom design, fiber density, fiber diameter, surface relaxivity, magnetic susceptibility, T2 relaxation, signal-to-noise ratio, diffusion anisotropy, quantitative validation
- MeSH terms
- Diffusion, Magnetics, Surface Properties, Time Factors, Water, Reproducibility of Results, Anisotropy, Phantoms, Imaging, Diffusion Magnetic Resonance Imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review