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 701–800 of 1,008

Analysis and correction of gradient nonlinearity bias in apparent diffusion coefficient measurements
Malyarenko, D. I., Ross, B. D., & Chenevert, T. L. (2013) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24773 · Cited by 73
Using diffusion MRI for measuring the temperature of cerebrospinal fluid within the lateral ventricles
Kozák, L. R., Bangó, M., Szabó, M., Rudas, G., Vidnyánszky, Z., & Nagy, Z. (2009) · Acta Paediatrica · doi:10.1111/j.1651-2227.2009.01528.x · Cited by 73
Usefulness of diffusion‐weighted imaging for differentiating between desmoid tumors and malignant soft tissue tumors
Oka, K., Yakushiji, T., Sato, H., Fujimoto, T., Hirai, T., Yamashita, Y., & Mizuta, H. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22406 · Cited by 73
Characterization of Breast Tumors Using Diffusion Kurtosis Imaging (DKI)
Wu, D., Li, G., Zhang, J., Chang, S., Hu, J., & Dai, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0113240 · Cited by 73
Diffusion-weighted MRI derived apparent diffusion coefficient identifies prognostically distinct subgroups of pediatric diffuse intrinsic pontine glioma
Lober, R. M., Cho, Y., Tang, Y., Barnes, P. D., Edwards, M. S. B., Vogel, H. S., Fisher, P. G., Monje, M., & Yeom, K. W. (2014) · Journal of Neuro-Oncology · doi:10.1007/s11060-014-1375-8 · Cited by 76
Mediastinal lymph nodes: Assessment with diffusion‐weighted MR imaging
Koşucu, P., Tekinbaş, C., Erol, M., Sarı, A., Kavgacı, H., Öztuna, F., & Ersöz, Ş. (2009) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21850 · Cited by 73
Evaluation of diffusion‐weighted imaging for the differential diagnosis of poorly contrast‐enhanced and T2‐prolonged bone masses: Initial experience
Hayashida, Y., Hirai, T., Yakushiji, T., Katahira, K., Shimomura, O., Imuta, M., Nakaura, T., Utsunomiya, D., Awai, K., & Yamashita, Y. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20512 · Cited by 73
Early Detection of Ischemic Injury: Comparison of Spectroscopy, Diffusion-, T2-, and Magnetic Susceptibility-Weighted MRI in Cats
Moseley, M. E., Mintorovitch, J., Cohen, Y., Asgari, H. S., Derugin, N., Norman, D. M., & Kucharczyk, J. R. (1990) · Springer eBooks · doi:10.1007/978-3-7091-9115-6_70 · Cited by 73
Magnetic resonance in the assessment of renal function
Knesplova, L., & Krestin, G. P. (1998) · European Radiology · doi:10.1007/s003300050363 · Cited by 73
MR imaging of mediastinal lymph nodes: Evaluation using a superparamagnetic contrast agent
Pannu, H. K., Wang, K.-P., Borman, T. L., & Bluemke, D. A. (2000) · Journal of Magnetic Resonance Imaging · doi:10.1002/1522-2586(200012)12:6 · Cited by 84
High b Value (2,000 s/mm2) Diffusion-Weighted Magnetic Resonance Imaging in Prostate Cancer at 3 Tesla: Comparison with 1,000 s/mm2 for Tumor Conspicuity and Discrimination of Aggressiveness
Tamada, T., Kanomata, N., Sone, T., Jo, Y., Miyaji, Y., Higashi, H., Yamamoto, A., & Ito, K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0096619 · Cited by 72
Beyond fractional anisotropy: Extraction of bundle-specific structural metrics from crossing fiber models
Riffert, T. W., Schreiber, J., Anwander, A., & Knösche, T. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.015 · Cited by 74
Evaluation of systematic quantification errors in velocity‐selective arterial spin labeling of the brain
Duhamel, G., de BAZELAIRE, C., & Alsop, D. C. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10510 · Cited by 72
Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
Prados, E., Soatto, S., Lenglet, C., Pons, J.-P., Wotawa, N., Rachid Deriche, B., & Faugeras, O. D. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.89 · Cited by 72
MR diffusion tensor imaging of white matter tract disruption in stroke at 3 T
Gillard, J. H., Papadakis, N. G., Martin, K. M., Price, C., Warburton, E. A., Antoun, N. M., Huang, C. L.-H., Carpenter, T. A., & Pickard, J. D. (2001) · British Journal of Radiology · doi:10.1259/bjr.74.883.740642 · Cited by 72
Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI
Iima, M., Partridge, S. C., & Bihan, D. L. (2020) · European Radiology · doi:10.1007/s00330-019-06648-0 · Cited by 71
History and Evolution of Brain Tumor Imaging: Insights throughRadiology
Castillo, M. (2014) · Radiology · doi:10.1148/radiol.14140130 · Cited by 71
Diffusion tensor magnetic resonance imaging of the normal breast
Partridge, S. C., Murthy, R., Ziadloo, A., White, S. W., Allison, K. H., & Lehman, C. D. (2010) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2009.10.003 · Cited by 71
Quantifying the intra‐ and extravascular contributions to spin‐echo fMRI at 3 T
Jochimsen, T. H., Norris, D. G., Mildner, T., & Möller, H. E. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20221 · Cited by 71
Blood–brain barrier impairment in dementia: Current and future in vivo assessments
van de Haar, H. J., Burgmans, S., Hofman, P. A. M., Verhey, F. R. J., Jansen, J. F. A., & Backes, W. H. (2014) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2014.11.022 · Cited by 74
Diffusion-Weighted Imaging of the Renal and Adrenal Lesions
Kılıçkesmez, Ö., İnci, E., Atilla, S., Taşdelen, N., Yetimoğlu, B., Yencilek, F., & Gürmen, N. (2009) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0b013e31819f1b83 · Cited by 71
Candidate Biomarkers of Extravascular Extracellular Space: A Direct Comparison of Apparent Diffusion Coefficient and Dynamic Contrast-Enhanced MR Imaging—Derived Measurement of the Volume of the Extravascular Extracellular Space in Glioblastoma Multiforme
Mills, S. J., Soh, C., Rose, C. J., Cheung, S., Zhao, S., Parker, G. J. M., & Jackson, A. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1844 · Cited by 71
Brain Tissue Sodium Is a Ticking Clock Telling Time After Arterial Occlusion in Rat Focal Cerebral Ischemia
Wang, Y., Hu, W., Perez-Trepichio, A. D., Ng, T. C., Furlan, A. J., Majors, A. W., & Jones, S. C. (2000) · Stroke · doi:10.1161/01.str.31.6.1386 · Cited by 71
The Effect of Hypothermia on Transient Focal Ischemia in Rat Brain Evaluated by Diffusion- and Perfusion-Weighted NMR Imaging
Jiang, Q., Chopp, M., Zhang, Z. G., Helpern, J. A., Ordidge, R. J., Ewing, J. R., Jiang, P. X., & Marchese, B. (1994) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1994.94 · Cited by 71
Diffusion MRI-based cortical connectome reconstruction: dependency on tractography procedures and neuroanatomical characteristics
Sinke, M. R. T., Otte, W. M., Christiaens, D., Schmitt, O., Leemans, A., van der Toorn, A., Sarabdjitsingh, R. A., Joëls, M., & Dijkhuizen, R. M. (2018) · Brain Structure and Function · doi:10.1007/s00429-018-1628-y · Cited by 69
Quantitative MRI Musculoskeletal Techniques: An Update
de Mello, R., Ma, Y., Ji, Y., Du, J., & Chang, E. Y. (2019) · American Journal of Roentgenology · doi:10.2214/ajr.19.21143 · Cited by 70
Diffusion-Weighted Magnetic Resonance Imaging of the Pancreas
Balci, N. C., Perman, W. H., Sağlam, S., Akisik, F. M., Fattahi, R., & Bilgin, M. (2009) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0b013e3181b48667 · Cited by 70
Efficient fat suppression by slice‐selection gradient reversal in twice‐refocused diffusion encoding
Nagy, Z., & Weiskopf, N. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21746 · Cited by 70
Functional Diffusion Tensor Imaging: Measuring Task-Related Fractional Anisotropy Changes in the Human Brain along White Matter Tracts
Mandl, R. C. W., Schnack, H. G., Zwiers, M. P., van der Schaaf, A., Kahn, R. S., & Pol, H. E. H. (2008) · PLoS ONE · doi:10.1371/journal.pone.0003631 · Cited by 70
Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping and Spectroscopy in Prostate Cancer
Jacobs, M. A., Ouwerkerk, R., Petrowski, K., & Macura, K. J. (2008) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0b013e3181aa6b50 · Cited by 70
Current and future applications of magnetic resonance imaging and spectroscopy of the brain in hepatic encephalopathy
Grover, V. P. B. (2006) · World Journal of Gastroenterology · doi:10.3748/wjg.v12.i19.2969 · Cited by 69
Imaging Modalities in Brain Tumors
Drevelegas, A., & Papanikolaou, N. K. (2010) · Springer eBooks · doi:10.1007/978-3-540-87650-2_2 · Cited by 69
In vivo free‐breathing DTI and IVIM of the whole human heart using a real‐time slice‐followed SE‐EPI navigator‐based sequence: A reproducibility study in healthy volunteers
Moulin, K., Croisille, P., Feiweier, T., Delattre, B. M. A., Wei, H., Robert, B., Beuf, O., & Viallon, M. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25852 · Cited by 74
Receiver Operating Characteristic Analysis of Diffusion-Weighted Magnetic Resonance Imaging in Differentiating Hepatic Hemangioma From Other Hypervascular Liver Lesions
Vossen, J. A., Buijs, M., Liapi, E. A., Eng, J., Bluemke, D. A., & Kamel, I. R. (2008) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0b013e31816a6823 · Cited by 69
Advanced Neuroimaging of Pediatric Brain Tumors: MR Diffusion, MR Perfusion, and MR Spectroscopy
Poussaint, T. Y., & Rodriguez, D. (2006) · Neuroimaging Clinics of North America · doi:10.1016/j.nic.2005.11.005 · Cited by 69
AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity
Siless, V., Chang, K., Fischl, B. R., & Yendiki, A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.10.058 · Cited by 70
In vivo mapping of human spinal cord microstructure at 300 mT/m
Duval, T., McNab, J. A., Setsompop, K., Witzel, T., Schneider, T., Huang, S. Y., Keil, B. R., Klawiter, E. C., Wald, L. L., & Cohen‐Adad, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.06.038 · Cited by 71
Use of a projection reconstruction method to decrease motion sensitivity in diffusion‐weighted MRI
Gmitro, A. F., & Alexander, A. L. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910290619 · Cited by 69
Abnormal diffusion-weighted MRI in medulloblastoma: does it reflect small cell histology?
Kotsenas, A. L., Roth, T. C., Manness, W. K., & Faerber, E. N. (1999) · Pediatric Radiology · doi:10.1007/s002470050636 · Cited by 69
MR imaging—guided interstitial Nd:YAG laser phototherapy: Dosimetry study of acute tissue damage in an in vivo model
Anzai, Y., Lufkin, R. B., Castro, D. J., Farahani, K., Jabour, B. A., Layfield, L. J., Udkoff, R., & Hanafee, W. N. (1991) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880010508 · Cited by 69
Theranostics in Boron Neutron Capture Therapy
Sauerwein, W. A. G., Sancey, L., Hey‐Hawkins, E., Kellert, M., Panza, L., Imperio, D., Balcerzyk, M., Rizzo, G., Scalco, E., Herrmann, K., et al. (2021) · Life · doi:10.3390/life11040330 · Cited by 68
Diffusional Kurtosis Imaging in the Diffusion Imaging in Python Project
Henriques, R. N., Correia, M., Marrale, M., Huber, E., Kruper, J., Koudoro, S., Yeatman, J. D., Garyfallidis, E., & Rokem, A. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.675433 · Cited by 68
Advanced Imaging Techniques for Differentiating Pseudoprogression and Tumor Recurrence After Immunotherapy for Glioblastoma
Li, Y., Ma, Y., Wu, Z., Xie, R., Zeng, F., Cai, H., Lui, S., Song, B., Chen, L., & Wu, M. C. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.790674 · Cited by 68
A preliminary report of brain edema in patients with uremia at first hemodialysis: evaluation by diffusion-weighted MR imaging.
Chen, C., Lai, P. H., Chou, K. J., Lee, P. T., Chung, H. M., & Fang, H. C. (2007) · PubMed Central · Cited by 68
Comparison of Perfusion, Diffusion, and MR Spectroscopy between Low-Grade Enhancing Pilocytic Astrocytomas and High-Grade Astrocytomas
Aragão, M. D. F. V. V., Law, M., de Almeida, D. B., Fatterpekar, G. M., Delman, B. N., Bader, A. S., Pelaez, M. P., Fowkes, M. E., de Mello, R. V., & Valênça, M. M. (2014) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3905 · Cited by 68
High b-value diffusion-weighted magnetic resonance imaging for gallbladder lesions: differentiation between benignity and malignancy
Ogawa, T., Horaguchi, J., Fujita, N., Noda, Y., Kobayashi, G., Ito, K., Koshita, S., Kanno, Y., Masu, K., & Sugita, R. (2012) · Journal of Gastroenterology · doi:10.1007/s00535-012-0604-1 · Cited by 68
MR imaging of glioblastoma in children: usefulness of diffusion/perfusion-weighted MRI and MR spectroscopy
Chang, Y., Yoon, H.-K., Shin, H.-J., Roh, H. G., & Cho, J. M. (2003) · Pediatric Radiology · doi:10.1007/s00247-003-0968-8 · Cited by 68
Intravoxel incoherent motion diffusion-weighted imaging in the liver: comparison of mono-, bi- and tri-exponential modelling at 3.0-T
Cercueil, J., Petit, J., Nougaret, S., Soyer, P. A., Fohlen, A., Pierredon-Foulongne, M. A., Schembri, V., Delhom, E., Schmidt, S., Denys, A. L., et al. (2014) · European Radiology · doi:10.1007/s00330-014-3554-6 · Cited by 68
Placental Perfusion MR Imaging with Contrast Agents in a Mouse Model
Salomon, L. J., Siauve, N., Balvay, D., Cuénod, C. A., Vayssettes, C., Luciani, A., Frija, G. G., Ville, Y. G., & Clémеnt, O. (2005) · Radiology · doi:10.1148/radiol.2351040192 · Cited by 68
3T MR tomography of the brachial plexus: Structural and microstructural evaluation
Mallouhi, A., Marik, W., Prayer, D., Kainberger, F. M., Bodner, G., & Kasprian, G. J. (2011) · European Journal of Radiology · doi:10.1016/j.ejrad.2011.05.021 · Cited by 68
Methods and applications of diffusion imaging of vertebral bone marrow
Raya, J. G., Dietrich, O., Reiser, M. F., & Baur‐Melnyk, A. (2006) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20748 · Cited by 68
Intravoxel partially coherent motion technique: Characterization of the anisotropy of skeletal muscle microvasculature
Karampinos, D. C., King, K. F., Sutton, B. P., & Georgiadis, J. G. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22100 · Cited by 72
Magnetic resonance imaging of the brain: Blood partition coefficient for water: Application to spin‐tagging measurement of perfusion
Roberts, D. A., Rizi, R. R., Lenkinski, R. E., & LEIGH, J. S. J. (1996) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880060217 · Cited by 68
Increased self‐diffusion of brain water in normal aging
Gideon, P., Thomsen, C. E., & Henriksen, O. B. (1994) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880040216 · Cited by 68
MRI identification of white matter reorganization enhanced by erythropoietin treatment in a rat model of focal ischemia
Li, L., Jiang, Q., Ding, G., Zhang, L., Zhang, Z. G., Li, Q., Panda, S., Kapke, A., Lu, M., Ewing, J. R., et al. (2009) · Stroke · doi:10.1161/strokeaha.108.527713 · Cited by 67
Contemporary Imaging of the Renal Mass
Kang, S. K., & Chandarana, H. (2012) · Urologic Clinics of North America · doi:10.1016/j.ucl.2012.01.002 · Cited by 67
Will traditional biopsy be substituted by radiomics and liquid biopsy for breast cancer diagnosis and characterisation?
Pesapane, F., Suter, M. B., Rotili, A., Penco, S., Nigro, O., Cremonesi, M., Bellomi, M., Jereczek‐Fossa, B. A., Pinotti, G., & Cassano, E. (2020) · Medical Oncology · doi:10.1007/s12032-020-01353-1 · Cited by 67
Extended phase graphs with anisotropic diffusion
Weigel, M., Schwenk, S., Kiselev, V. G., Scheffler, K., & Hennig, J. (2010) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2010.05.011 · Cited by 67
Diffusion tensor imaging and tractography of the spinal cord: From experimental studies to clinical application
Fujiyoshi, K., Konomi, T., Yamada, M., Hikishima, K., Tsuji, O., Komaki, Y., Momoshima, S., Toyama, Y., Nakamura, M., & Okano, H. (2012) · Experimental Neurology · doi:10.1016/j.expneurol.2012.07.015 · Cited by 67
Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations
Bedair, R., Priest, A. N., Patterson, A. J., McLean, M. A., Graves, M. J., Manavaki, R., Gill, A. B., Abeyakoon, O., Griffiths, J. R., & Gilbert, F. J. (2016) · European Radiology · doi:10.1007/s00330-016-4630-x · Cited by 67
DWI as an Imaging Biomarker for Bladder Cancer
Yoshida, S., Takahara, T., Kwee, T. C., Waseda, Y., Kobayashi, S., & Fujii, Y. (2017) · American Journal of Roentgenology · doi:10.2214/ajr.17.17798 · Cited by 67
Targeting Cerebral Small Vessel Disease With MRI
Zwanenburg, J. J. M., & van Osch, M. J. P. (2017) · Stroke · doi:10.1161/strokeaha.117.016996 · Cited by 69
Placental MRI and its application to fetal intervention
Aughwane, R., Ingram, E., Johnstone, E., Salomon, L. J., David, A. L., & Melbourne, A. (2019) · Prenatal Diagnosis · doi:10.1002/pd.5526 · Cited by 73
Periictal Diffusion‐Weighted Imaging in a Case of Lesional Epilepsy
Diehl, B., Najm, I., Ruggieri, P. M., Foldvary, N., Mohamed, A., Tkach, J. A., Morris, H. H., Barnett, G. H., Fisher, E., Duda, J., et al. (1999) · Epilepsia · doi:10.1111/j.1528-1157.1999.tb02056.x · Cited by 67
Diffusion Tensor MRI in Multiple Sclerosis
Rovaris, M., & Filippi, M. (2007) · Journal of Neuroimaging · doi:10.1111/j.1552-6569.2007.00133.x · Cited by 67
Magnetic resonance imaging and spectroscopy in assessing 3-nitropropionic acid-induced brain lesions: an animal model of Huntington’s disease
Lee, W., & Chang, C. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.02.002 · Cited by 67
Static magnetic field can transiently alter the human intracortical inhibitory system
Nojima, I., Koganemaru, S., Fukuyama, H., & Mima, T. (2015) · Clinical Neurophysiology · doi:10.1016/j.clinph.2015.01.030 · Cited by 66
Hippocampi, Thalami, and Accumbens Microstructural Damage in Schizophrenia: A Volumetry, Diffusivity, and Neuropsychological Study
Spoletini, I., Cherubini, A., Banfi, G., Rubino, I. A., Péran, P., Caltagirone, C., & Spalletta, G. (2009) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp058 · Cited by 66
Removal of olefinic fat chemical shift artifact in diffusion MRI
Hernando, D., Karampinos, D. C., King, K. F., Haldar, J. P., Majumdar, S., Georgiadis, J. G., & Liang, Z. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22670 · Cited by 66
Nonalcoholic Fatty Liver Disease: Intravoxel Incoherent Motion Diffusion-weighted MR Imaging—An Experimental Study in a Rabbit Model
Joo, I., Lee, J. M., Yoon, J. H., Jang, J. J., Han, J. K., & Choi, B. I. (2013) · Radiology · doi:10.1148/radiol.13122506 · Cited by 66
Normal and Transplanted Rat Kidneys: Diffusion MR Imaging at 7 T
Yang, D., Ye, Q., Williams, D. S., Hitchens, T. K., & Ho, C. (2004) · Radiology · doi:10.1148/radiol.2313021587 · Cited by 66
Diffusion-Weighted Magnetic Resonance Imaging of the Pancreas
Concia, M., Sprinkart, A. M., Penner, A.-H., Brossart, P., Gieseke, J., Schild, H. H., Willinek, W. A., & Mürtz, P. (2013) · Investigative Radiology · doi:10.1097/rli.0b013e3182a71cc3 · Cited by 66
Intravoxel incoherent motion diffusion‐weighted MRI of the abdomen: The effect of fitting algorithms on the accuracy and reliability of the parameters
Park, H. J., Sung, Y. S., Lee, S. S., Lee, Y., Cheong, H., Kim, Y. J., & Lee, M.-G. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25535 · Cited by 66
Multiparametric MR assessment of pediatric brain tumors
Tzika, A. A., Astrakas, L. G., Zarifi, M. K., Petridou, N., Poussaint, T. Y., Goumnerova, L. C., Zurakowski, D., Anthony, D. C., & Black, P. M. (2003) · Neuroradiology · doi:10.1007/s00234-002-0865-0 · Cited by 66
Increased Brain Apparent Diffusion Coefficient in Tuberous Sclerosis
Garaci, F. G., Floris, R., Bozzao, A., Manenti, G., Simonetti, A., Lupattelli, T., Curatolo, P., & Simonetti, G. (2004) · Radiology · doi:10.1148/radiol.2322030198 · Cited by 66
Diffusion Tensor Imaging and Neuromodulation
Coenen, V. A., Schlaepfer, T. E., Allert, N., & Mädler, B. (2012) · International review of neurobiology · doi:10.1016/b978-0-12-404706-8.00011-5 · Cited by 66
MRI Phenotype in Renal Cancer
Campbell, N. M., Rosenkrantz, A. B., & Pedrosa, I. (2014) · Topics in Magnetic Resonance Imaging · doi:10.1097/rmr.0000000000000019 · Cited by 65
Standard diffusion-weighted, diffusion kurtosis and intravoxel incoherent motion MR imaging of sinonasal malignancies: correlations with Ki-67 proliferation status
Xiao, Z., Zhong, Y., Tang, Z., Qiang, J., Qian, W., Wang, R., Wang, J., Wu, L., Tang, W., & Zhang, Z. (2018) · European Radiology · doi:10.1007/s00330-017-5286-x · Cited by 65
Time course of the apparent diffusion coefficient after cerebral infarction
Ahlhelm, F. J., Schneider, G. H., Backens, M., Reith, W., & Hagen, T. (2002) · European Radiology · doi:10.1007/s00330-001-1291-0 · Cited by 65
Neuro MR: Principles
Roberts, T. P. L., & Mikulis, D. J. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21029 · Cited by 65
Observation of microscopic diffusion anisotropy in the spinal cord using double‐pulsed gradient spin echo MRI
Komlosh, M. E., Lizak, M. J., Horkay, F., Freidlin, R. Z., & Basser, P. J. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21528 · Cited by 65
MR spectroscopic imaging and diffusion‐weighted MRI for early detection of kainate‐induced status epilepticus in the rat
Ebisum, T., Rooney, W. D., Graham, S. H., Mancuso, A., Weiner, M. W., & Maudsley, A. A. (1996) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910360604 · Cited by 65
On the accuracy of noninvasive thermometry using molecular diffusion magnetic resonance imaging
Zhang, Y., Samulski, T. V., Joines, W. T., Mattiello, J., Levin, R. L., & Bihan, D. L. (1992) · International Journal of Hyperthermia · doi:10.3109/02656739209021781 · Cited by 65
Differentiation of dys- and demyelination using diffusional anisotropy
Ono, J., Harada, K., Mano, T., Sakurai, K., & Okada, S. (1997) · Pediatric Neurology · doi:10.1016/s0887-8994(96)00249-4 · Cited by 65
Early radiological assessment of locally advanced pancreatic cancer treated with electrochemotherapy
Granata, V., Fusco, R., Setola, S. V., Piccirillo, M., Leongito, M., Palaia, R., Granata, F. M., Lastoria, S., Izzo, F., & Petrillo, A. (2017) · World Journal of Gastroenterology · doi:10.3748/wjg.v23.i26.4767 · Cited by 66
Diffusion weighted imaging in acute ischemic stroke: A review of its interpretation pitfalls and advanced diffusion imaging application
Nagaraja, N. (2021) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2021.117435 · Cited by 64
Subtype Differentiation of Renal Tumors Using Voxel-Based Histogram Analysis of Intravoxel Incoherent Motion Parameters
Gaing, B., Sigmund, E. E., Huang, W. C. W., Babb, J. S., Parikh, N. S., Stoffel, D. R., & Chandarana, H. (2014) · Investigative Radiology · doi:10.1097/rli.0000000000000111 · Cited by 64
Diffusion-Weighted MR Imaging in Musculoskeletal Radiology: Applications in Trauma, Tumors, and Inflammation
Bley, T. A., Wieben, O. E., & Uhl, M. (2009) · Magnetic Resonance Imaging Clinics of North America · doi:10.1016/j.mric.2009.01.005 · Cited by 64
Functional imaging in adult and paediatric brain tumours
Peet, A. C., Arvanitis, T. N., Leach, M. O., & Waldman, A. D. (2012) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2012.187 · Cited by 64
Stroke assessment with intravoxel incoherent motion diffusion‐weighted MRI
Suo, S., Cao, M., Zhu, W., Li, L., Li, J., Shen, F., Zu, J., Zhou, Z., Zhuang, Z., Qu, J., et al. (2016) · NMR in Biomedicine · doi:10.1002/nbm.3467 · Cited by 64
Intravoxel incoherent motion diffusion‐weighted MRI during chemoradiation therapy to characterize and monitor treatment response in human papillomavirus head and neck squamous cell carcinoma
Paudyal, R., Oh, J. H., Riaz, N., Venigalla, P., Li, J., Hatzoglou, V., Leeman, J. E., Núñez, D. A., Lu, Y., Deasy, J. O., et al. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25523 · Cited by 64
Separating blood and water: Perfusion and free water elimination from diffusion MRI in the human brain
Rydhög, A. S., Szczepankiewicz, F., Wirestam, R., Ahlgren, A., Westin, C., Knutsson, L., & Pasternak, O. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.04.023 · Cited by 67
The physical basis of diffusion-weighted MRI
Cercignani, M., & Horsfield, M. A. (2001) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(01)00486-5 · Cited by 64
Diffusion‐weighted MR imaging of extraaxial tumors
Tsuruda, J. S., Chew, W. M., Moseley, M. E., & Norman, D. M. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910190221 · Cited by 64
Quantitative diffusion imaging in implanted human breast tumors
Maier, C. F., Paran, Y., Bendel, P., Rutt, B. K., & Degani, H. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370417 · Cited by 64
Diffusion-weighted magnetic resonance imaging in the evaluation of renal function: A preliminary study
Carbone, S. F., Gaggioli, E., Ricci, V., Mazzei, F. G., Mazzei, M. A., & Volterrani, L. (2007) · La radiologia medica · doi:10.1007/s11547-007-0217-6 · Cited by 63
Age-related distribution of vertebral bone-marrow diffusivity
Herrmann, J., Krstin, N., Schoennagel, B. P., Sornsakrin, M., Derlin, T., Busch, J. D., Petersen, K. U., Graessner, J., Adam, G., & Habermann, C. R. (2012) · European Journal of Radiology · doi:10.1016/j.ejrad.2012.03.033 · Cited by 63
Quantitative MR Imaging: Physical Principles and Sequence Design in Abdominal Imaging
Shah, B., Anderson, S. W., Scalera, J. E., Jara, H. J., & Soto, J. A. (2011) · Radiographics · doi:10.1148/rg.313105155 · Cited by 63
Diffusion-Weighted Magnetic Resonance Imaging of the Prostate
Mazaheri, Y., Afaq, A., Rowe, D. B., Lu, Y., Shukla‐Dave, A., & Grover, J. (2012) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0b013e31826bdbbd · Cited by 63
Noninvasive amide proton transfer magnetic resonance imaging in evaluating the grading and cellularity of gliomas
Bai, Y., Lin, Y., Zhang, W., Kong, L., Wang, L., Zuo, P., Vallines, I., Schmitt, B., Tian, J., Song, X., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.13970 · Cited by 63

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