Cited by 3,912Advanced MRI Techniques and ApplicationsAdvanced Neuroimaging Techniques and ApplicationsNMR spectroscopy and applications

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

Le Bihan, D, Breton, E, Lallemand, D, Grenier, P, Cabanis, E, Laval-Jeantet, M·1986·Radiology

DOI 10.1148/radiology.161.2.3763909

Open this paper in CoChat — free account

Abstract

Molecular diffusion and microcirculation in the capillary network result in a distribution of phases in a single voxel in the presence of magnetic field gradients. This distribution produces a spin-echo attenuation. The authors have developed a magnetic resonance (MR) method to image such intravoxel incoherent motions (IVIMs) by using appropriate gradient pulses. Images were generated at 0.5 T in a high-resolution, multisection mode. Diffusion coefficients measured on images of water and acetone phantoms were consistent with published values. Images obtained in the neurologic area from healthy subjects and patients were analyzed in terms of an apparent diffusion coefficient (ADC) incorporating the effect of all IVIMs. Differences were found between various normal and pathologic tissues. The ADC of in vivo water differed from the diffusion coefficient of pure water. Results were assessed in relation to water compartmentation in biologic tissues (restricted diffusion) and tissue perfusion. Nonuniform slow flow of cerebrospinal fluid appeared as a useful feature on IVIM images. Observation of these motions may significantly extend the diagnostic capabilities of MR imaging.

Integrity signals

Registry

Crossref · 10.1148/radiology.161.2.3763909

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Spin Diffusion Measurements: Spin Echoes in the Presence of a Time-Dependent Field Gradient
Stejskal, E. O., & Tanner, J. E. (1965) · The Journal of Chemical Physics · doi:10.1063/1.1695690 · Cited by 8,239
Effects of Diffusion on Free Precession in Nuclear Magnetic Resonance Experiments
Carr, H. Y., & Purcell, E. M. (1954) · Physical Review · doi:10.1103/physrev.94.630 · Cited by 6,445
Use of the Stimulated Echo in NMR Diffusion Studies
Tanner, J. E. (1970) · The Journal of Chemical Physics · doi:10.1063/1.1673336 · Cited by 1,647
Restricted Self-Diffusion of Protons in Colloidal Systems by the Pulsed-Gradient, Spin-Echo Method
Tanner, J. E., & Stejskal, E. O. (1968) · The Journal of Chemical Physics · doi:10.1063/1.1670306 · Cited by 873
Nuclear magnetic resonance measurement of skeletal muscle: anisotrophy of the diffusion coefficient of the intracellular water
Cleveland, G., Chang, D. C., Hazlewood, C. F., & Rorschach, H. E. (1976) · Biophysical Journal · doi:10.1016/s0006-3495(76)85754-2 · Cited by 243
Blood flow imaging with MR: spin-phase phenomena.
von Schulthess, G. K., & Higgins, C. B. (1985) · Radiology · doi:10.1148/radiology.157.3.2997836 · Cited by 193
Self diffusion of water in frog muscle
Tanner, J. E. (1979) · Biophysical Journal · doi:10.1016/s0006-3495(79)85162-0 · Cited by 184
Restricted Diffusion in Biophysical Systems
Cooper, R. L., Chang, D. B., Young, A. C., Martin, C. J., & Ancker‐Johnson, B. (1974) · Biophysical Journal · doi:10.1016/s0006-3495(74)85904-7 · Cited by 181
Diffusion in Liquids
McCall, D. W., Douglass, D. C., & Anderson, E. W. (1959) · The Journal of Chemical Physics · doi:10.1063/1.1730651 · Cited by 158
NMR Even Echo Rephasing in Slow Laminar Flow
Waluch, V., & Bradley, W. G. (1984) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198408000-00003 · Cited by 146

Show all 13 references

Sorted by citations

Items 201–300 of 1,008

Diffusion MRI: Precision, accuracy and flow effects
Conturo, T. E., McKinstry, R. C., Aronovitz, J. A., & Neil, J. J. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080706 · Cited by 209
Diffusion weighted fMRI at 1.5 T
Song, A. W., Wong, E. C., Tan, S. G., & Hyde, J. S. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910350204 · Cited by 208
Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging
Bai, Y., Lin, Y., Tian, J., Shi, D., Cheng, J., Haacke, E. M., Hong, X., Ma, B., Zhou, J., & Wang, M. (2015) · Radiology · doi:10.1148/radiol.2015142173 · Cited by 206
Diffusion-weighted MR Imaging of the Pancreas: Current Status and Recommendations
Barral, M., Taouli, B. A., Guiu, B., Koh, D., Luciani, A., Manfredi, R. M., Vilgrain, V., Hoeffel, C. C., Kanematsu, M., & Soyer, P. A. (2014) · Radiology · doi:10.1148/radiol.14130778 · Cited by 208
Side Matters: Diffusion Tensor Imaging Tractography in Left and Right Temporal Lobe Epilepsy
Ahmadi, M. E., Hagler, D. J., McDonald, C. R., Tecoma, E. S., Iragui, V. J., Dale, A. M., & Halgren, E. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1650 · Cited by 212
Hyperemesis Gravidarum Complicated by Wernicke Encephalopathy: Background, Case Report, and Review of the Literature
Chiossi, G., Neri, I., Cavazzuti, M., Basso, G., & Facchinetti, F. (2006) · Obstetrical & Gynecological Survey · doi:10.1097/01.ogx.0000206336.08794.65 · Cited by 204
A Comparative Study of Acquisition Schemes for Diffusion Tensor Imaging Using MRI
Papadakis, N. G., Xing, D., Huang, C. L.-H., Hall, L. D., & Carpenter, T. A. (1999) · Journal of Magnetic Resonance · doi:10.1006/jmre.1998.1673 · Cited by 203
Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: Comparison with conventional DWI
Liu, C., Liang, C., Liu, Z., Zhang, S., & Huang, B. (2013) · European Journal of Radiology · doi:10.1016/j.ejrad.2013.08.006 · Cited by 202
Measuring brain perfusion with intravoxel incoherent motion (IVIM): Initial clinical experience
Federau, C., O’Brien, K., Meuli, R. A., Hagmann, P., & Maeder, P. P. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24195 · Cited by 202
Spreading of Vasogenic Edema and Cytotoxic Edema Assessed by Quantitative Diffusion and T2 Magnetic Resonance Imaging
Loubinoux, I., Volk, A., Borredon, J., Guirimand, S., Tiffon, B., Seylaz, J., & Méric, P. (1997) · Stroke · doi:10.1161/01.str.28.2.419 · Cited by 202
Signal‐to‐noise in phase angle reconstruction: Dynamic range extension using phase reference offsets
Conturo, T. E., & Smith, G. D. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910150308 · Cited by 202
Temporal evolution of ischemic damage in rat brain measured by proton nuclear magnetic resonance imaging.
Knight, R. A., Ordidge, R. J., Helpern, J. A., Chopp, M., Rodolosi, L., & Peck, D. J. (1991) · Stroke · doi:10.1161/01.str.22.6.802 · Cited by 202
Diffusion-weighted Imaging of the Breast: Principles and Clinical Applications
Woodhams, R., Ramadan, S. A., Stanwell, P., Sakamoto, S., Hata, H., Ozaki, M., Kan, S., & Inoue, Y. (2011) · Radiographics · doi:10.1148/rg.314105160 · Cited by 200
Serial Study of Apparent Diffusion Coefficient and Anisotropy in Patients With Acute Stroke
Yang, Q., Tress, B. M., Barber, P. A., Desmond, P. M., Darby, D., Gerraty, R. P., Li, T., & Davis, S. M. (1999) · Stroke · doi:10.1161/01.str.30.11.2382 · Cited by 200
Anisotropy in diffusion‐weighted MRI
Moseley, M. E., Kucharczyk, J. R., Asgari, H. S., & Norman, D. M. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910190222 · Cited by 199
The Functional Diffusion Map: An Imaging Biomarker for the Early Prediction of Cancer Treatment Outcome
Moffat, B. A., Chenevert, T. L., Meyer, C. R., McKeever, P. E., Hall, D. E., Hoff, B. A., Johnson, T. D., Rehemtulla, A., & Ross, B. D. (2006) · Neoplasia · doi:10.1593/neo.05844 · Cited by 196
Diffusion‐weighted MRI in the characterization of soft‐tissue tumors
van Rijswijk, C. S. P., Kunz, P., Hogendoorn, P. C. W., Taminiau, A. H. M., Doornbos, J., & Bloem, J. L. (2002) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10061 · Cited by 194
Quantitative analysis of diffusion‐weighted magnetic resonance imaging of the pancreas: Usefulness in characterizing solid pancreatic masses
Lee, S. S., Byun, J. H., Park, B. J., Park, S. H., Kim, N., Park, B., Kim, J. K., & Lee, M.-G. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21508 · Cited by 194
Diffusion-weighted imaging: basic concepts and application in cerebral stroke and head trauma
Huisman, T. A. G. M. (2003) · European Radiology · doi:10.1007/s00330-003-1843-6 · Cited by 194
Techniques and applications of skeletal muscle diffusion tensor imaging: A review
Oudeman, J., Nederveen, A. J., Strijkers, G. J., Maas, M. M., Luijten, P. R., & Froeling, M. (2015) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25016 · Cited by 193
Diffusion-weighted MR Imaging Sequence in the Detection of Postoperative Recurrent Cholesteatoma
Dubrulle, F., Souillard-Scémama, R., Chéchin, D., Vaneecloo, F. M., Desaulty, A., & Vincent, C. (2006) · Radiology · doi:10.1148/radiol.2381041649 · Cited by 193
Diffusion-weighted MR Imaging in the Brain in Children: Findings in the Normal Brain and in the Brain with White Matter Diseases
Engelbrecht, V., Scherer, A., Rassek, M., Witsack, H. J., & Mödder, U. (2002) · Radiology · doi:10.1148/radiol.2222010492 · Cited by 192
Diffusion Weighted Magnetic Resonance Imaging of the Breast
Partridge, S. C., & McDonald, E. S. (2013) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2013.04.007 · Cited by 191
Quantitative Non-Gaussian Diffusion and Intravoxel Incoherent Motion Magnetic Resonance Imaging
Iima, M., Yano, K., Kataoka, M., Umehana, M., Murata, K., Kanao, S., Togashi, K., & Bihan, D. L. (2014) · Investigative Radiology · doi:10.1097/rli.0000000000000094 · Cited by 191
White matter pathways in reading
Ben‐Shachar, M., Dougherty, R. F., & Wandell, B. A. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.03.006 · Cited by 198
Quantitative Measurement of Brain Perfusion with Intravoxel Incoherent Motion MR Imaging
Federau, C., Maeder, P. P., O’Brien, K., Browaeys, P., Meuli, R. A., & Hagmann, P. (2012) · Radiology · doi:10.1148/radiol.12120584 · Cited by 192
Accelerating Fibre Orientation Estimation from Diffusion Weighted Magnetic Resonance Imaging Using GPUs
Hernández, M., Guerrero, G. D., Cecilia, J. M., García, J. M., Inuggi, A., Jbabdi, S., Behrens, T. E. J., & Sotiropoulos, S. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061892 · Cited by 191
Evaluation of the accuracy and precision of the diffusion parameter EStImation with Gibbs and NoisE removal pipeline
Ades‐Aron, B., Veraart, J., Kochunov, P., McGuire, S., Sherman, P. M., Kellner, E., Novikov, D. S., & Fieremans, E. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.066 · Cited by 191
Diffusion-Weighted Magnetic Resonance Imaging for Diagnosing Malignant Pulmonary Nodules/Masses: Comparison with Positron Emission Tomography
Mori, T., Nomori, H., Ikeda, K., Kawanaka, K., Shiraishi, S., Katahira, K., & Yamashita, Y. (2008) · Journal of Thoracic Oncology · doi:10.1097/jto.0b013e318168d9ed · Cited by 188
Mapping immune cell infiltration using restricted diffusion MRI
Yeh, F.-C. F., Liu, L., Hitchens, T. K., & Wu, Y. L. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26143 · Cited by 188
The role of diffusion-weighted imaging in the differential diagnosis of intracranial cystic mass lesions: a report of 147 lesions
Reddy, J. S., Mishra, A. M., Behari, S., Husain, M., Gupta, V., Rastogi, M., & Gupta, R. K. (2006) · Surgical Neurology · doi:10.1016/j.surneu.2006.03.032 · Cited by 187
The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains
Chang, E. H., Argyelan, M., Aggarwal, M., Chandon, T.-S. S., Karlsgodt, K. H., Mori, S., & Malhotra, A. K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.068 · Cited by 186
Comparison of Biexponential and Monoexponential Model of Diffusion Weighted Imaging in Evaluation of Renal Lesions
Chandarana, H., Lee, V. S., Hecht, E. M., Taouli, B. A., & Sigmund, E. E. (2010) · Investigative Radiology · doi:10.1097/rli.0b013e3181ffc485 · Cited by 186
Probabilistic diffusion tractography of the optic radiations and visual function in preterm infants at term equivalent age
Bassi, L., Ricci, D., Volzone, A., Allsop, J. M., Srinivasan, L., Pai, A., Ribes, C., Ramenghi, L. A., Mercuri, E. M., Mosca, F., et al. (2008) · Brain · doi:10.1093/brain/awm327 · Cited by 189
Diffusion-weighted magnetic resonance imaging to assess diffuse renal pathology: a systematic review and statement paper
Caroli, A., Schneider, M. J., Friedli, I., Ljimani, A., de Seigneux, S., Boor, P., Gullapudi, L., Kazmi, I., Mendichovszky, I. A., Notohamiprodjo, M., et al. (2018) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfy163 · Cited by 186
Pathologic damage in MS assessed by diffusion-weighted and magnetization transfer MRI
Cercignani, M., Iannucci, G., Rocca, M. A., Comı, G., Horsfield, M. A., & Filippi, M. (2000) · Neurology · doi:10.1212/wnl.54.5.1139 · Cited by 185
Increased water self-diffusion in chronic plaques and in apparently normal white matter in patients with multiple sclerosis
Christiansen, P., Gideon, P., Thomsen, C., Stubgaard, M., Henriksen, O. M., & Larsson, H. B. W. (2009) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1993.tb04100.x · Cited by 185
Colour perfusion imaging: a new application of computed tomography
Miles, K. A., Hayball, M. P., & Dixon, A. K. (1991) · The Lancet · doi:10.1016/0140-6736(91)92455-b · Cited by 184
Functional Magnetic Resonance Imaging in Medicine and Physiology
MOONEN, C. T. W., van Zijl, P. C. M., Frank, J. A., Bihan, D. L., & Becker, E. D. (1990) · Science · doi:10.1126/science.2218514 · Cited by 184
In vivo diffusion tensor MRI of the human heart: Reproducibility of breath‐hold and navigator‐based approaches
Nielles‐Vallespin, S., Mekkaoui, C., Gatehouse, P. D., Reese, T. G., Keegan, J., Ferreira, P., Collins, S., Speier, P., Feiweier, T., de Silva, R., et al. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24488 · Cited by 183
Early detection of treatment response by diffusion-weighted 1H-NMR spectroscopy in a murine tumour in vivo
Zhao, M. D., Pipe, J., Bonnett, J. W., & Evelhoch, J. L. (1996) · British Journal of Cancer · doi:10.1038/bjc.1996.11 · Cited by 183
On the application of ultra‐fast rare experiments
Norris, D. G., Börnert, P., Reese, T., & Leibfritz, D. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910270114 · Cited by 181
In vivo magnetic resonance diffusion measurement in the brain of patients with multiple sclerosis
Larsson, H. B. W., Thomsen, C., Frederiksen, J., Stubgaard, M., & Henriksen, O. (1992) · Magnetic Resonance Imaging · doi:10.1016/0730-725x(92)90367-9 · Cited by 181
Quantitative Histological Validation of Diffusion MRI Fiber Orientation Distributions in the Rat Brain
Leergaard, T. B., White, N. S., de Crespigny, A. J., Bolstad, I., D'Arceuil, H. E., Bjaalie, J. G., & Dale, A. M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0008595 · Cited by 180
Enhanced mass on contrast‐enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast‐enhanced and diffusion‐weighted MR images
Yabuuchi, H., Matsuo, Y., Okafuji, T., Kamitani, T., Soeda, H., Setoguchi, T., Sakai, S., Hatakenaka, M., Kubo, M., Sadanaga, N., et al. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21570 · Cited by 180
Changes of relaxation times (T1, T2) and apparent diffusion coefficient after permanent middle cerebral artery occlusion in the rat: temporal evolution, regional extent, and comparison with histology
Hoehn‐berlar, M., Eis, M., Back, T., Kohno, K., & Yamashita, K. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340607 · Cited by 180
Optimised diffusion-weighting for measurement of apparent diffusion coefficient (ADC) in human brain
Xing, D., Papadakis, N. G., Huang, C. L.-H., Lee, V. M., Carpenter, T. A., & Hall, L. D. (1997) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(97)00037-4 · Cited by 180
Combined Diffusion and Perfusion MRI With Correlation to Single-Photon Emission CT in Acute Ischemic Stroke
Karonen, J. O., Vanninen, R. L., Liu, Y., Østergaard, L., Kuikka, J. T., Nuutinen, J., Vanninen, E. J., Partanen, P. L. K., Vainio, P. A., Korhonen, K., et al. (1999) · Stroke · doi:10.1161/01.str.30.8.1583 · Cited by 180
Microstructural imaging of the human brain with a ‘super-scanner’: 10 key advantages of ultra-strong gradients for diffusion MRI
Jones, D. K., Alexander, D. C., Bowtell, R. W., Cercignani, M., Dell’Acqua, F., McHugh, D. J., Miller, K. L., Palombo, M., Parker, G. J. M., Rudrapatna, U. S., et al. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.047 · Cited by 187
Loss of aquaporin-4 results in glymphatic system dysfunction via brain-wide interstitial fluid stagnation
Gomolka, R. S., Hablitz, L. M., Mestre, H., Giannetto, M. J., Du, T., Hauglund, N. L., Xie, L., Peng, W., Martinez, P. M., Nedergaard, M., et al. (2023) · eLife · doi:10.7554/elife.82232 · Cited by 188
A study of rotationally invariant and symmetric indices of diffusion anisotropy
Papadakis, N. G., Xing, D., Houston, G. C., Smith, J. M., Smith, M. I., James, M. F., Parsons, A. A., Huang, C. L.-H., Hall, L. D., & Carpenter, T. A. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00029-6 · Cited by 179
White matter abnormalities in children with and at risk for bipolar disorder
Frazier, J. A., Breeze, J. L., Papadimitriou, G., Kennedy, D. N., Hodge, S. M., Moore, C. M., Howard, J. D., Rohan, M. P., Caviness, V. S., & Makris, N. (2007) · Bipolar Disorders · doi:10.1111/j.1399-5618.2007.00482.x · Cited by 180
Apparent Diffusion Coefficient Values for Discriminating Benign and Malignant Breast MRI Lesions: Effects of Lesion Type and Size
Partridge, S. C., Mullins, C., Kurland, B. F., Allain, M. D., DeMartini, W. B., Eby, P. R., & Lehman, C. D. (2010) · American Journal of Roentgenology · doi:10.2214/ajr.09.3534 · Cited by 178
Acute and chronic changes of the apparent diffusion coefficient in neurological disorders—Biophysical mechanisms and possible underlying histopathology
Gass, A., Niendorf, T., & Hirsch, J. G. (2001) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(01)00487-7 · Cited by 178
A simple method for obtaining cross‐term‐free images for diffusion anisotropy studies in NMR microimaging
Neeman, M., Freyer, J. P., & Sillerud, L. O. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910210117 · Cited by 177
Navigated Diffusion Imaging of Normal and Ischemic Human Brain
de Crespigny, A. J., Marks, M. P., Enzmann, D. R., & Moseley, M. E. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330518 · Cited by 176
MR Imaging of Orbital Inflammatory Syndrome, Orbital Cellulitis, and Orbital Lymphoid Lesions: The Role of Diffusion-Weighted Imaging
Kapur, R., Sepahdari, A. R., Mafee, M. F., Putterman, A. M., Aakalu, V. K., Wendel, L., & Setabutr, P. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1315 · Cited by 175
Diffusion-weighted MR imaging of the hippocampus and temporal white matter in Alzheimer's disease
Hanyu, H., Sakurai, H., Iwamoto, T., Takasaki, M., Shindo, H., & Abe, K. (1998) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(98)00043-4 · Cited by 175
Diffusion-weighted imaging patterns of brain damage associated with cerebral venous thrombosis.
Ducreux, D., Oppenheim, C., Vandamme, X., Dormont, D., Samson, Y., Rancurel, G., Cosnard, G., & Marsault, C. (2001) · PubMed Central · Cited by 175
The physical and biological basis of quantitative parameters derived from diffusion MRI.
Winston, G. P. (2012) · Europe PMC (PubMed Central) · doi:10.3978/j.issn.2223-4292.2012.12.05 · Cited by 174
Diffusion‐weighted imaging outside the brain: Consensus statement from an ISMRM‐sponsored workshop
Taouli, B. A., Beer, A. J., Chenevert, T. L., Collins, D., Lehman, C. D., Matos, C., Padhani, A. R., Rosenkrantz, A. B., Shukla‐Dave, A., Sigmund, E. E., et al. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25196 · Cited by 174
Diffusion weighted magnetic resonance imaging and its recent trend-a survey.
Chilla, G. S. V. N., Tan, C. H., Xu, C., & Poh, C. L. (2015) · PubMed Central · doi:10.3978/j.issn.2223-4292.2015.03.01 · Cited by 173
Noninvasive quantification of axon radii using diffusion MRI
Veraart, J., Nunes, D., Rudrapatna, U. S., Fieremans, E., Jones, D. K., Novikov, D. S., & Shemesh, N. (2020) · eLife · doi:10.7554/elife.49855 · Cited by 185
DTI Measurements in Multiple Sclerosis: Evaluation of Brain Damage and Clinical Implications
Sbardella, E., Tona, F., Petsas, N., & Pantano, P. (2013) · Multiple Sclerosis International · doi:10.1155/2013/671730 · Cited by 172
The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery
Pujol, S., Wells, W., Pierpaoli, C., Brun, C., Gee, J., Cheng, G., Vemuri, B., Commowick, O., Prima, S., Stamm, A., et al. (2015) · Journal of Neuroimaging · doi:10.1111/jon.12283 · Cited by 171
Recovery from Chronic Demyelination by Thyroid Hormone Therapy: Myelinogenesis Induction and Assessment by Diffusion Tensor Magnetic Resonance Imaging
Harsan, L. A., Steibel, J., Zaremba, A., Agin, A., Sapin, R., Poulet, P., Guignard, B., Parizel, N., Grucker, D., Boehm, N., et al. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4453-08.2008 · Cited by 177
Combined use of T2-weighted and diffusion-weighted 3-T MR imaging for differentiating uterine sarcomas from benign leiomyomas
Namimoto, T., Yamashita, Y., Awai, K., Nakaura, T., Yanaga, Y., Hirai, T., Saito, T., & Katabuchi, H. (2009) · European Radiology · doi:10.1007/s00330-009-1471-x · Cited by 171
Computed Diffusion-weighted MR Imaging May Improve Tumor Detection
Blackledge, M., Leach, M. O., Collins, D. J., & Koh, D. (2011) · Radiology · doi:10.1148/radiol.11101919 · Cited by 171
Improved DTI registration allows voxel-based analysis that outperforms Tract-Based Spatial Statistics
Schwarz, C. G., Reid, R. I., Gunter, J. L., Senjem, M. L., Przybelski, S. A., Zuk, S. M., Whitwell, J. L., Vemuri, P., Josephs, K. A., Kantarci, K., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.03.026 · Cited by 176
Evidence for a protective role of metallothionein-1 in focal cerebral ischemia
Campagne, M. V. L., Thibodeaux, H., van Bruggen, N., Cairns, B., Gerlai, R. T., Palmer, J. T., Williams, S. P., & Lowe, D. G. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.22.12870 · Cited by 170
The link between diffusion MRI and tumor heterogeneity: Mapping cell eccentricity and density by diffusional variance decomposition (DIVIDE)
Szczepankiewicz, F., van Westen, D., Englund, E. M., Westin, C., Ståhlberg, F., Lätt, J., Sundgren, P. C., & Nilsson, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.038 · Cited by 169
Apparent diffusion coefficient mapping of experimental focal cerebral ischemia using diffusion‐weighted echo‐planar imaging
Dardzinski, B. J., Sotak, C. H., Fisher, M., Hasegawa, Y., Li, L., & Minematsu, K. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300307 · Cited by 169
Haralick texture features from apparent diffusion coefficient (ADC) MRI images depend on imaging and pre-processing parameters
Brynolfsson, P., Nilsson, D., Torheim, T., Asklund, T., Karlsson, C. T., Trygg, J., Nyholm, T., & Garpebring, A. (2017) · Scientific Reports · doi:10.1038/s41598-017-04151-4 · Cited by 168
Optimized isotropic diffusion weighting
Wong, E. C., Cox, R. W., & Song, A. W. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340202 · Cited by 168
Imaging of Acute Cerebral Ischemia
Beauchamp, N. J., Barker, P. B., Wang, P. Y., & van Zijl, P. C. M. (1999) · Radiology · doi:10.1148/radiology.212.2.r99au16307 · Cited by 168
Diffusion-weighted magnetic resonance imaging of pancreas tumours
Kartalis, N., Lindholm, T. L., Aspelin, P., Permert, J., & Albiin, N. (2009) · European Radiology · doi:10.1007/s00330-009-1384-8 · Cited by 167
Texture analysis of medical images for radiotherapy applications
Scalco, E., & Rizzo, G. (2016) · British Journal of Radiology · doi:10.1259/bjr.20160642 · Cited by 167
Recursive calibration of the fiber response function for spherical deconvolution of diffusion MRI data
Tax, C. M. W., Jeurissen, B., Vos, S. B., Viergever, M. A., & Leemans, A. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.067 · Cited by 171
Diffusion-weighted MR Imaging for Characterizing Musculoskeletal Lesions
Subhawong, T. K., Jacobs, M. A., & Fayad, L. M. (2014) · Radiographics · doi:10.1148/rg.345140190 · Cited by 166
Prostate Cancer: Relationships between Postbiopsy Hemorrhage and Tumor Detectability at MR Diagnosis
Tamada, T., Sone, T., Jo, Y., Yamamoto, A., Yamashita, T., Egashira, N., Imai, S., & Fukunaga, M. (2008) · Radiology · doi:10.1148/radiol.2482070157 · Cited by 166
Neonatal Tract-Based Spatial Statistics Findings and Outcome in Preterm Infants
van Kooij, B. J. M., de Vries, L. S., Ball, G., van Haastert, I. C., Benders, M. J. N. L., Groenendaal, F., & Counsell, S. J. (2011) · American Journal of Neuroradiology · doi:10.3174/ajnr.a2723 · Cited by 165
Intravoxel Incoherent Motion Diffusion-weighted MR Imaging for Characterization of Focal Pancreatic Lesions
Kang, K. M., Lee, J. M., Yoon, J. H., Kiefer, B., Han, J. K., & Choi, B. I. (2013) · Radiology · doi:10.1148/radiol.13122712 · Cited by 164
Glioblastoma Multiforme Regional Genetic and Cellular Expression Patterns: Influence on Anatomic and Physiologic MR Imaging
Barajas, R., Hodgson, J., Chang, J. S., VandenBerg, S. R., Yeh, R.-F., Parsa, A. T., McDermott, M. W., Berger, M. S., Dillon, W. P., & Cha, S. (2010) · Radiology · doi:10.1148/radiol.09090663 · Cited by 163
Nuclear magnetic resonance (NMR) measurement of the apparent diffusion coefficient (ADC) of tissue water and its relationship to cell volume changes in pathological states
Sotak, C. H. (2004) · Neurochemistry International · doi:10.1016/j.neuint.2003.11.010 · Cited by 162
Diffusion-Weighted MRI: Distinction of Skull Base Chordoma from Chondrosarcoma
Yeom, K. W., Lober, R. M., Mobley, B. C., Harsh, G. R., Vogel, H. S., Allagio, R., Pearson, M. M., Edwards, M. S. B., & Fischbein, N. J. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3333 · Cited by 160
Diffusion-weighted MRI for Unenhanced Breast Cancer Screening
Amornsiripanitch, N., Bickelhaupt, S., Shin, H. J., Dang, M., Rahbar, H., Pinker, K., & Partridge, S. C. (2019) · Radiology · doi:10.1148/radiol.2019182789 · Cited by 160
Role of Diffusion-Weighted Imaging and In Vivo Proton Magnetic Resonance Spectroscopy in the Differential Diagnosis of Ring-Enhancing Intracranial Cystic Mass Lesions
Mishra, A. M., Gupta, R. K., Jaggi, R. S., Reddy, J. S., Jha, D. K., Husain, N., Prasad, K. N., Behari, S., & Husain, M. (2004) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200407000-00017 · Cited by 160
Global tractography of multi-shell diffusion-weighted imaging data using a multi-tissue model
Christiaens, D., Reisert, M., Dhollander, T., Sunaert, S., Suetens, P., & Maes, F. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.008 · Cited by 152
Diffusion‐weighted imaging of inflammatory myopathies: Polymyositis and dermatomyositis
Qi, J., Olsen, N. J., Price, R. R., Winston, J. A., & Park, J. H. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21209 · Cited by 159
Diffusion and perfusion of the kidney
Notohamiprodjo, M., Reiser, M. F., & Sourbron, S. P. (2010) · European Journal of Radiology · doi:10.1016/j.ejrad.2010.05.033 · Cited by 158
Identification of Residual Breast Carcinoma Following Neoadjuvant Chemotherapy: Diffusion-weighted Imaging—Comparison with Contrast-enhanced MR Imaging and Pathologic Findings
Woodhams, R., Kakita, S., Hata, H., Iwabuchi, K., Kuranami, M., Gautam, S., Hatabu, H., Kan, S., & Mountford, C. E. (2010) · Radiology · doi:10.1148/radiol.2542090405 · Cited by 158
Liver intravoxel incoherent motion (IVIM) magnetic resonance imaging: a comprehensive review of published data on normal values and applications for fibrosis and tumor evaluation
Li, Y. T., Cercueil, J., Yuan, J., Chen, W., Loffroy, R., & Wáng, Y. X. J. (2017) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims.2017.02.03 · Cited by 158
The Added Value of the Apparent Diffusion Coefficient Calculation to Magnetic Resonance Imaging in the Differentiation and Grading of Malignant Brain Tumors
Bulakbaşı, N., Güvenç, İ., Öngürü, Ö., Erdoğan, E., Tayfun, C., & Üçöz, T. (2004) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200411000-00003 · Cited by 157
Multi-shot sensitivity-encoded diffusion data recovery using structured low-rank matrix completion (MUSSELS)
Mani, M., Jacob, M., Kelley, D. A. C., & Magnotta, V. A. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26382 · Cited by 157
Diffusion‐weighted magnetic resonance imaging allows monitoring of anticancer treatment effects in patients with soft‐tissue sarcomas
Dudeck, O., Zeile, M., Pink, D., Pech, M., Tunn, P., Reichardt, P., Ludwig, W., & Hamm, B. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21358 · Cited by 157
Dynamics of Cerebral Tissue Injury and Perfusion After Temporary Hypoxia-Ischemia in the Rat
Dijkhuizen, R. M., Knollema, S., van der Worp, H. B., Horst, G. J. T., Wildt, D. J. D., van der Sprenkel, J. W. B., Tulleken, K. A. F., & Nicolay, K. (1998) · Stroke · doi:10.1161/01.str.29.3.695 · Cited by 157
Single-shot diffusion imaging at 2.0 tesla
Turner, R., & Bihan, D. L. (1990) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(90)90023-3 · Cited by 157
Ball and rackets: inferring fiber fanning from diffusion-weighted MRI
Sotiropoulos, S. N., Behrens, T. E. J., & Jbabdi, S. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.056 · Cited by 156
Unraveling the secrets of white matter--bridging the gap between cellular, animal and human imaging studies
Walhovd, K. B., Johansen-Berg, H., & Káradóttir, R. T. (2014) · Neuroscience · doi:10.1016/j.neuroscience.2014.06.058 · Cited by 156
Structural neuroimaging in schizophrenia from methods to insights to treatments
Shenton, M. E., Whitford, T. J., & Kubicki, M. R. (2010) · Dialogues in Clinical Neuroscience · doi:10.31887/dcns.2010.12.3/mshenton · Cited by 156

Authors: Le Bihan, D., Breton, E., Lallemand, D., Grenier, P., Cabanis, E., & Laval-Jeantet, M.
Affiliations: Centre hospitalier national d'ophtalmologie des Quinze-Vingts (FR)
Venue: Radiology
Publisher: Radiological Society of North America (RSNA)
Published: 1986-11
Volume: 161
Issue: 2
Pages: 401-407
ISSN: 0033-8419 (ISSN-L)
1527-1315
DOI: 10.1148/radiology.161.2.3763909
OpenAlex: W2129841144
Cited by: 3,912
References: 13
Citations by year: 2026: 85 · 2025: 118 · 2024: 128 · 2023: 158 · 2022: 151 · 2021: 201 · 2020: 175 · 2019: 157 · 2018: 187 · 2017: 199 · 2016: 167 · 2015: 170 · 2014: 166 · 2013: 160 · 2012: 127
FWCI: 11.77
Type: journal article
Language: en
Open access: closed
Locations: Radiology (publishedVersion)
PubMed (publishedVersion)
HAL (submittedVersion)
Topics: Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
Physical Sciences › Chemistry › Spectroscopy › NMR spectroscopy and applications
Keywords: intravoxel incoherent motion, diffusion MRI, perfusion MRI, apparent diffusion coefficient, restricted diffusion, capillary microcirculation, cerebrospinal fluid flow, neurological disorders, magnetic resonance imaging
MeSH terms: Astrocytoma, Brain Diseases, Brain Neoplasms, Cerebrovascular Circulation, Humans, Hydrocephalus, Magnetic Resonance Spectroscopy

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

MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks