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 601–700 of 1,008

The Fornix and Limbic System
Lövblad, K., Schaller, K., & Vargas, M. I. (2014) · Seminars in Ultrasound CT and MRI · doi:10.1053/j.sult.2014.06.005 · Cited by 85
Lesion Localization in Patients With a Previous Negative Transrectal Ultrasound Biopsy and Persistently Elevated Prostate Specific Antigen Level Using Diffusion-Weighted Imaging at Three Tesla Before Rebiopsy
Park, B. K., Lee, H. M., Kim, C. K., Choi, H. Y., & Park, J. W. (2008) · Investigative Radiology · doi:10.1097/rli.0b013e318183725e · Cited by 85
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 87
Quantification of tumor tissue populations by multispectral analysis
Carano, R. A. D., Ross, A. L., Ross, J., Williams, S. P., Koeppen, H., SCHWALL, R. H., & van Bruggen, N. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10731 · Cited by 85
Diffusion Tensor Imaging in Musculoskeletal Disorders
Budzik, J., Balbi, V., Verclytte, S., Pansini, V., Thuc, V. L., & Cotten, A. (2014) · Radiographics · doi:10.1148/rg.343125062 · Cited by 85
Diffusion tensor brain imaging and tractography
Ito, R., Mori, S., & Melhem, E. R. (2002) · Neuroimaging Clinics of North America · doi:10.1016/s1052-5149(03)00067-4 · Cited by 85
Probing myelin content of the human brain with MRI: A review
Piredda, G. F., Hilbert, T., Thiran, J., & Kober, T. (2020) · Magnetic Resonance in Medicine · doi:10.1002/mrm.28509 · Cited by 88
Histogram Analysis of Intravoxel Incoherent Motion for Differentiating Recurrent Tumor from Treatment Effect in Patients with Glioblastoma: Initial Clinical Experience
Kim, H. S., Suh, C. H., Kim, N., Choi, C. G., & Kim, S. J. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3719 · Cited by 84
Apparent diffusion coefficient measurements in the differentiation between benign and malignant lesions: a systematic review
Vermoolen, M. A., Kwee, T. C., & Nievelstein, R. A. J. (2012) · Insights into Imaging · doi:10.1007/s13244-012-0175-y · Cited by 84
MRI identification of the rostral‐caudal pattern of pathology within the corpus callosum in the cuprizone mouse model
Wu, Q., Yang, Q., Cate, H. S., Kemper, D., Binder, M. D., Wang, H., Fang, K., Quick, M. J., Marriott, M. P., Kilpatrick, T. J., et al. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21111 · Cited by 86
The use of quantitative magnetic-resonance-based techniques to monitor the evolution of multiple sclerosis
Filippi, M., Rocca, M. A., & Comi, G. (2003) · The Lancet Neurology · doi:10.1016/s1474-4422(03)00408-3 · Cited by 84
Single shot fast spin echo diffusion-weighted MR imaging of the spine
Park, S., Lee, J.-H., Ehara, S., Park, Y.-B., Sung, S. O., Choi, J.-A., & Joo, Y. E. (2004) · Clinical Imaging · doi:10.1016/s0899-7071(03)00247-x · Cited by 84
Aortic Pulse Wave Velocity Predicts Focal White Matter Hyperintensities in a Biracial Cohort of Older Adults
Rosano, C., Watson, N. L., Chang, Y., Newman, A. B., Aizenstein, H. J., Du, Y., Venkatraman, V. K., Harris, T. B., Barinas‐Mitchell, E., & Sutton-Tyrrell, K. (2012) · Hypertension · doi:10.1161/hypertensionaha.112.198069 · Cited by 88
MITK Diffusion Imaging
Neher, P., Reicht, I., van Bruggen, T., Goch, C. J., Reisert, M., Nolden, M., Zelzer, S., Meinzer, H.-P., Stieltjes, B., & Fritzsche, K. H. (2012) · Methods of Information in Medicine · doi:10.3414/me11-02-0031 · Cited by 83
On high b diffusion imaging in the human brain: ruminations and experimental insights
Mulkern, R. V., Haker, S. J., & Maier, S. E. (2009) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2009.05.003 · Cited by 83
Diffusion Tensor Magnetic Resonance Imaging in Multiple Sclerosis
Goldberg‐Zimring, D., Mewes, A. U. J., Maddah, M., & Warfield, S. K. (2005) · Journal of Neuroimaging · doi:10.1177/1051228405283363 · Cited by 83
Head and Neck Tumors: Assessment of Perfusion-Related Parameters and Diffusion Coefficients Based on the Intravoxel Incoherent Motion Model
Sumi, M., & Nakamura, T. (2012) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3227 · Cited by 83
Differentiating radiation necrosis from tumor progression in brain metastases treated with stereotactic radiotherapy: utility of intravoxel incoherent motion perfusion MRI and correlation with histopathology
Detsky, J. S., Keith, J. L., Conklin, J., Symons, S. P., Myrehaug, S. D., Sahgal, A., Heyn, C., & Soliman, H. (2017) · Journal of Neuro-Oncology · doi:10.1007/s11060-017-2545-2 · Cited by 83
Diffusion tensor imaging in multiple sclerosis: a tool for monitoring changes in normal-appearing white matter
Cassol, E., Ranjeva, J., Ibarrola, D., Mékiès, C., MANELFE, C., Clanet, M., & Berry, I. (2004) · Multiple Sclerosis Journal · doi:10.1191/1352458504ms997oa · Cited by 83
Correlation of multiple sclerosis measures derived from T2-weighted, T1-weighted, magnetization transfer, and diffusion tensor MR imaging.
Iannucci, G., Rovaris, M., Giacomotti, L., Comi, G., & Filippi, M. (2001) · PubMed · Cited by 83
Complete water suppression for solutions of large molecules based on diffusional differences between solute and solvent (DRYCLEAN)
van Zijl, P. C. M., & MOONEN, C. T. W. (1990) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(90)90082-k · Cited by 83
Diffusion/perfusion MR imaging of the brain: from structure to function.
Bihan, D. L. (1990) · Radiology · doi:10.1148/radiology.177.2.2217762 · Cited by 83
Diffusion tensor imaging study of subcortical gray matter in CADASIL
Molko, N., Pappata, S., Mangin, J. F., Poupon, C., Vahedi, K., Jobert, A., LeBihan, D., Bousser, M. G., & Chabriat, H. (2001) · Stroke · doi:10.1161/hs0901.094255 · Cited by 82
Diffusion imaging of human breast
Englander, S. A., Uluğ, A. M., Brem, R. F., Glickson, J. D., & van Zijl, P. C. M. (1997) · NMR in Biomedicine · doi:10.1002/(sici)1099-1492(199710)10:7 · Cited by 82
Diffusion-weighted MRI: influence of intravoxel fat signal and breast density on breast tumor conspicuity and apparent diffusion coefficient measurements
Partridge, S. C., Singer, L., Sun, R. R., Wilmes, L. J., Klifa, C. S., Lehman, C. D., & Hylton, N. M. (2011) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2011.07.024 · Cited by 82
Inflammatory demyelination and neurodegeneration in early multiple sclerosis
Charil, A., & Filippi, M. (2007) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2006.08.017 · Cited by 82
Diffusion Tractography: Methods, Validation and Applications in Patients with Neurosurgical Lesions
Leclercq, D., Delmaire, C., de Champfleur, N. M., Chiras, J., & Lehéricy, S. (2011) · Neurosurgery Clinics of North America · doi:10.1016/j.nec.2010.11.004 · Cited by 83
Diffusion imaging of the vertebral bone marrow
Dietrich, O., Geith, T., Reiser, M. F., & Baur‐Melnyk, A. (2015) · NMR in Biomedicine · doi:10.1002/nbm.3333 · Cited by 82
Water diffusion in the different microenvironments of breast cancer
Paran, Y., Bendel, P., Margalit, R., & Degani, H. (2004) · NMR in Biomedicine · doi:10.1002/nbm.882 · Cited by 82
High b-Value Diffusion-Weighted MRI of Normal Brain
Burdette, J. H., Durden, D. D., Elster, A. D., & Yen, Y. (2001) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200107000-00002 · Cited by 82
A Brief History of Simulation Neuroscience
Fan, X., & Markram, H. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00032 · Cited by 89
Diffusion-weighted MRI in acute spinal cord ischaemia
Loher, T. J., Bassetti, C. L., Lövblad, K., Stepper, F., Sturzenegger, M., Kiefer, C., Nedeltchev, K., Arnold, M., Remonda, L., & Schroth, G. (2003) · Neuroradiology · doi:10.1007/s00234-003-1023-z · Cited by 81
The Association of Lung Disease With Cerebral White Matter Abnormalities in Preterm Infants
Anjari, M., Counsell, S. J., Srinivasan, L., Allsop, J. M., Hajnal, J. V., Rutherford, M., & Edwards, A. D. (2009) · PEDIATRICS · doi:10.1542/peds.2008-1294 · Cited by 81
Delayed neural network degeneration after neonatal hypoxia‐ischemia
Stone, B. S., Zhang, J., Mack, D. W., Mori, S., Martin, L. J., & Northington, F. J. (2008) · Annals of Neurology · doi:10.1002/ana.21517 · Cited by 81
Imaging brain tumour microstructure
Nilsson, M., Englund, E. M., Szczepankiewicz, F., van Westen, D., & Sundgren, P. C. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.075 · Cited by 81
Leukoaraiosis, Ischemic Stroke, and Normal White Matter on Diffusion-Weighted MRI
Helenius, J., Soinne, L., Salonen, O. L. M., Kaste, M., & Tatlisumak, T. (2002) · Stroke · doi:10.1161/hs0102.101228 · Cited by 81
Comparison of conventional and diffusion-weighted MRI and proton MR spectroscopy in patients with mitochondrial encephalomyopathy, lactic acidosis, and stroke-like events
Abe, K., Yoshimura, H., Tanaka, H., Fujita, N., Hikita, T., & Sakoda, S. (2004) · Neuroradiology · doi:10.1007/s00234-003-1138-2 · Cited by 81
Liver diffusion-weighted MR imaging: the tower of Babel?
Guiu, B., & Cercueil, J. (2010) · European Radiology · doi:10.1007/s00330-010-2017-y · Cited by 81
Diffusion MRI tractography for neurosurgery: The basics, current state, technical reliability and challenges
Yang, J. Y.-M., Yeh, C.-H., Poupon, C., & Calamante, F. (2021) · Physics in Medicine & Biology · doi:10.1088/1361-6560/ac0d90 · Cited by 80
Time‐dependent diffusion MRI to distinguish malignant from benign head and neck tumors
Iima, M., Yamamoto, A., Kataoka, M., Yamada, Y., Omori, K., Feiweier, T., & Togashi, K. (2018) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26578 · Cited by 80
Marchiafava–Bignami disease: Diffusion-weighted MRI in corpus callosum and cortical lesions
Ménégon, P., Sibon, I., Pachaï, C., Orgogozo, J. M., & Dousset, V. (2005) · Neurology · doi:10.1212/01.wnl.0000171348.55820.89 · Cited by 80
Atypical Imaging Features of Primary Central Nervous System Lymphoma That Mimics Glioblastoma: Utility of Intravoxel Incoherent Motion MR Imaging
Suh, C. H., Kim, H. S., Lee, S. S., Kim, N., Yoon, H. M., Choi, C.-G., & Kim, S. J. (2014) · Radiology · doi:10.1148/radiol.14131895 · Cited by 80
Self-Diffusion in Molecular Fluids and Noble Gases: Available Data
Suárez‐Iglesias, O., Medina, I., Sanz, M. D. L. Á., Pizarro, C., & Bueno, J. L. (2015) · Journal of Chemical & Engineering Data · doi:10.1021/acs.jced.5b00323 · Cited by 80
Diffusion parameter mapping with the combined intravoxel incoherent motion and kurtosis model using artificial neural networks at 3 T
Bertleff, M., Domsch, S., Weingärtner, S., Zapp, J., O’Brien, K., Barth, M., & Schad, L. R. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3833 · Cited by 80
MR imagin—histopathologic correlation of thermal injuries induced with interstitial Nd:YAG laser irradiation in the chronic model
Anzai, Y., Lufkin, R. B., Farahani, K., Hirschowitz, S. L., & Castro, D. J. (1992) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880020611 · Cited by 80
Temporal evolution and spatial distribution of the diffusion constant of water in rat brain after transient middle cerebral artery occlusion
Jiang, Q., Zhang, Z. G., Chopp, M., Helpern, J. A., Ordidge, R. J., García, J. H., Marchese, B., Qing, Z. X., & Knight, R. A. (1993) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(93)90262-w · Cited by 80
Diffusion-weighted magnetic resonance imaging of dural sinus thrombosis
Yoshikawa, T., Abe, O., Tsuchiya, K., Okubo, T., Tobe, K., Masumoto, T., Hayashi, N., Mori, H., Yamada, H., Aoki, S., et al. (2002) · Neuroradiology · doi:10.1007/s00234-002-0772-4 · Cited by 79
Median nerve cross-sectional area and MRI diffusion characteristics: normative values at the carpal tunnel
Yao, L., & Gai, N. (2009) · Skeletal Radiology · doi:10.1007/s00256-008-0626-1 · Cited by 79
Evaluation of intravoxel incoherent motion fitting methods in low‐perfused tissue
Meeus, E. M., Novák, J., Withey, S., Zarinabad, N., Dehghani, H., & Peet, A. C. (2016) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.25411 · Cited by 79
Lesion mapping in acute stroke aphasia and its implications for recovery
Forkel, S. J., & Catani, M. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.03.036 · Cited by 79
Diffusion‐weighted NMR imaging: Application to experimental focal cerebral ischemia
Hoehn‐Berlage, M. (1995) · NMR in Biomedicine · doi:10.1002/nbm.1940080708 · Cited by 79
A Model for Multiparametric MRI Tissue Characterization in Experimental Cerebral Ischemia With Histological Validation in Rat
Jacobs, M. A., Zhang, Z. G., Knight, R. A., Hamid Soltanian-zadeh, A., Goussev, A. V., Peck, D. J., & Chopp, M. (2001) · Stroke · doi:10.1161/01.str.32.4.943 · Cited by 79
Pharmacologic Reversal of Acute Changes in Diffusion-Weighted Magnetic Resonance Imaging in Focal Cerebral Ischemia
Lo, E. H., Matsumoto, K., Pierce, A. R., Garrido, L., & Luttinger, D. A. (1994) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.1994.74 · Cited by 79
High-Grade Glioma Treatment Response Monitoring Biomarkers: A Position Statement on the Evidence Supporting the Use of Advanced MRI Techniques in the Clinic, and the Latest Bench-to-Bedside Developments. Part 1: Perfusion and Diffusion Techniques
Henriksen, O. M., Álvarez‐Torres, M. D. M., Figueiredo, P., Hangel, G. J., Keil, V. C., Nechifor, R. E., Riemer, F., Schmainda, K. M., Warnert, E. A. H., Wiegers, E. C., et al. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.810263 · Cited by 78
MRI-based staging of hepatic fibrosis: Comparison of intravoxel incoherent motion diffusion-weighted imaging with magnetic resonance elastography
Ichikawa, S., Motosugi, U., Morisaka, H., Sano, K., Ichikawa, T., Enomoto, N., Matsuda, M., Fujii, H., & Onishi, H. (2014) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24760 · Cited by 78
Can diffusion-weighted imaging be used to differentiate benign from pathologic fractures? A meta-analysis
Karchevsky, M., Babb, J. S., & Schweitzer, M. E. (2008) · Skeletal Radiology · doi:10.1007/s00256-008-0503-y · Cited by 78
Change in diffusion weighted MRI during liver cancer radiotherapy: Preliminary observations
Eccles, C. L., Haider, E. A., Haider, M. A., Fung, S., Lockwood, G., & Dawson, L. A. (2009) · Acta Oncologica · doi:10.1080/02841860903099972 · Cited by 78
Efficient and robust computation of PDF features from diffusion MR signal
Assemlal, H.-E., Tschumperlé, D., & Brun, L. (2009) · Medical Image Analysis · doi:10.1016/j.media.2009.06.004 · Cited by 78
Diffusion-weighted imaging demonstrates transient cytotoxic edema involving the corpus callosum in a patient with diffuse brain injury
Takayama, H., Kobayashi, M., Sugishita, M., & Mihara, B. (2000) · Clinical Neurology and Neurosurgery · doi:10.1016/s0303-8467(00)00079-2 · Cited by 78
Barbiturate‐Reversible Reduction of Water Diffusion Coefficient in Flurothyl‐Induced Status Epilepticus in Rats
Zhong, J., Petroff, O. A. C., Prichard, J. W., & Gore, J. C. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330216 · Cited by 78
Analysis of Diffusion Changes in Posttraumatic Bone Marrow Using Navigator-Corrected Diffusion Gradients
Ward, R. J., Caruthers, S. D., Yablon, C. M., Blake, M. A., DiMasi, M., & Eustace, S. J. (2000) · American Journal of Roentgenology · doi:10.2214/ajr.174.3.1740731 · Cited by 78
Effect of diffusion on the steady-state magnetization with pulsed field gradients
Wu, E. X., & Buxton, R. B. (1990) · Journal of Magnetic Resonance (1969) · doi:10.1016/0022-2364(90)90131-r · Cited by 78
Secondary Reduction in the Apparent Diffusion Coefficient of Water, Increase in Cerebral Blood Volume, and Delayed Neuronal Death after Middle Cerebral Artery Occlusion and Early Reperfusion in the Rat
Campagne, M. V. L., Thomas, G. R., Thibodeaux, H., Palmer, J. T., Williams, S. P., Lowe, D. G., & van Bruggen, N. (1999) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199912000-00009 · Cited by 78
Structural white matter asymmetries in relation to functional asymmetries during speech perception and production
Ocklenburg, S., Hugdahl, K., & Westerhausen, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.07.076 · Cited by 81
A Phantom for diffusion‐weighted imaging of acute stroke
Laubach, H., Jakob, P. M., Lövblad, K., Baird, A. E., Bovo, M. P., Edelman, R. R., & Warach, S. J. (1998) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880080627 · Cited by 77
Ability of diffusion‐weighted imaging for the differential diagnosis between chronic expanding hematomas and malignant soft tissue tumors
Oka, K., Yakushiji, T., Sato, H., Yorimitsu, S., Hayashida, Y., Yamashita, Y., & Mizuta, H. (2008) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.21512 · Cited by 77
Diffusion-weighted magnetic resonance imaging in evaluation of primary solid and cystic renal masses using the Bosniak classification
İnci, E., Hocaoğlu, E., Aydin, S., & Cimilli, T. (2011) · European Journal of Radiology · doi:10.1016/j.ejrad.2011.02.024 · Cited by 77
A Clinically Relevant Approach to Imaging Prostate Cancer: Review
Verma, S., & Rajesh, A. (2011) · American Journal of Roentgenology · doi:10.2214/ajr.09.7196 · Cited by 77
Diagnostic value of alternative techniques to gadolinium-based contrast agents in MR neuroimaging—a comprehensive overview
Delgado, A. F., van Westen, D., Nilsson, M., Knutsson, L., Sundgren, P. C., Larsson, E., & Delgado, A. F. (2019) · Insights into Imaging · doi:10.1186/s13244-019-0771-1 · Cited by 78
Intravoxel incoherent motion imaging using spin echoes
Bihan, D. L., & Turner, R. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910190206 · Cited by 77
Magnetic resonance imaging of perfusion
Bihan, D. L. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910140213 · Cited by 77
The value of diffusion-weighted imaging in the detection of prostate cancer: a meta-analysis
Jie, C., Rongbo, L., & Ping, T. (2014) · European Radiology · doi:10.1007/s00330-014-3201-2 · Cited by 77
Brain Magnetic Resonance Imaging Reveals Different Courses of Disease in Pediatric and Adult Cerebral Malaria
Sahu, P. K., Hoffmann, A., Majhi, M., Pattnaik, R., Patterson, C., Mahanta, K. C., Mohanty, D., Mohanty, R. R., Joshi, S., Mohanty, A., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1647 · Cited by 79
On Approximation of Orientation Distributions by Means of Spherical Ridgelets
Michailovich, O., & Yogesh Rathi, A. (2009) · IEEE Transactions on Image Processing · doi:10.1109/tip.2009.2035886 · Cited by 76
DT-MRI Fiber Tracking: A Shortest Paths Approach
Zalesky, A. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2008.923644 · Cited by 76
Inter-sequence and inter-imaging unit variability of diffusion tensor MR imaging histogram-derived metrics of the brain in healthy volunteers.
(2003) · PubMed Central · Cited by 76
A Pilot Study of Diffusion-Weighted MRI in Patients Undergoing Neoadjuvant Chemoradiation for Pancreatic Cancer
Cuneo, K. C., Chenevert, T. L., Ben‐Josef, E., Feng, M. U.-S., Greenson, J. K., Hussain, H. K., Simeone, D. M., Schipper, M. J., Anderson, M. A., Zalupski, M. M., et al. (2014) · Translational Oncology · doi:10.1016/j.tranon.2014.07.005 · Cited by 76
Intravoxel incoherent motion magnetic resonance imaging in head and neck cancer: A systematic review of the diagnostic and prognostic value
Noij, D. P., Martens, R. M., Marcus, J. T., de Bree, R., Leemans, C. R., Castelijns, J. A., de Jong, M. C., & de Graaf, P. (2017) · Oral Oncology · doi:10.1016/j.oraloncology.2017.03.016 · Cited by 76
Diffusion Tensor Imaging in Cerebral Tumor Diagnosis and Therapy
Field, A. S., & Alexander, A. L. (2004) · Topics in Magnetic Resonance Imaging · doi:10.1097/00002142-200410000-00004 · Cited by 76
Magnetic Resonance Imaging Determination of Tumor Grade and Early Response to Temozolomide in a Genetically Engineered Mouse Model of Glioma
McConville, P., Hambardzumyan, D., Moody, J. B., Leopold, W. R., Kreger, A. R., Woolliscroft, M. J., Rehemtulla, A., Ross, B. D., & Holland, E. C. (2007) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-06-3058 · Cited by 76
Three-dimensional anisotropy contrast magnetic resonance imaging of the rat nervous system: MR axonography
Nakada, T., & Matsuzawa, H. (1995) · Neuroscience Research · doi:10.1016/0168-0102(95)00917-i · Cited by 76
Correlation tensor magnetic resonance imaging
Henriques, R. N., Jespersen, S. N., & Shemesh, N. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116605 · Cited by 80
Differentiation of benign and malignant skeletal lesions with quantitative diffusion weighted MRI at 3T
Ahlawat, S., Khandheria, P., Subhawong, T. K., & Fayad, L. M. (2015) · European Journal of Radiology · doi:10.1016/j.ejrad.2015.02.019 · Cited by 75
Effect of Hydrophilic Components of the Extracellular Matrix on Quantifiable Diffusion-Weighted Imaging of Human Gliomas: Preliminary Results of Correlating Apparent Diffusion Coefficient Values and Hyaluronan Expression Level
Sadeghi, N., Camby, I., Goldman, S., Gabius, H., Balériaux, D., Salmon, I. J., Decaestecker, C., Robert Kiss, A., & Metens, T. (2003) · American Journal of Roentgenology · doi:10.2214/ajr.181.1.1810235 · Cited by 75
Postictal Diffusion‐Weighted Imaging for the Localization of Focal Epileptic Areas in Temporal Lobe Epilepsy
Diehl, B., Najm, I., Ruggieri, P. M., Tkach, J. A., Mohamed, A., Morris, H. H., Wyllie, E., Fisher, E., Duda, J., Lieber, M. L., et al. (2001) · Epilepsia · doi:10.1046/j.1528-1157.2001.19500.x · Cited by 75
Real-time probing of granular dynamics with magnetic resonance
Penn, A., Tsuji, T., Brunner, D. O., Boyce, C. M., Pruessmann, K. P., & Müller, C. R. (2017) · Science Advances · doi:10.1126/sciadv.1701879 · Cited by 74
Diffusion-weighted imaging of pancreatic cancer
Robertis, R. D. (2015) · World Journal of Radiology · doi:10.4329/wjr.v7.i10.319 · Cited by 74
In vivo perfusion measurements in the human placenta using echo planar imaging at 0.5 T
Gowland, P. A., Francis, S., Duncan, K. R., Freeman, A. J., Issa, B. A., Moore, R. J., Bowtell, R. W., Baker, P. N., Johnson, I. R., & Worthington, B. S. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910400318 · Cited by 74
Application of magnetic resonance imaging in zoology
Ziegler, A., Kunth, M., Mueller, S. G., Bock, C., Pohmann, R., Schröder, L., Faber, C., & Giribet, G. (2011) · Zoomorphology · doi:10.1007/s00435-011-0138-8 · Cited by 75
Minimum apparent diffusion coefficient is significantly correlated with cellularity in medulloblastomas
Yamashita, Y., Kumabe, T., Higano, S., Watanabe, M., & Tominaga, T. (2009) · Neurological Research · doi:10.1179/174313209x382520 · Cited by 74
On the spin order transfer from parahydrogen to another nucleus
Bär, S., Lange, T., Leibfritz, D., Hennig, J., von Elverfeldt, D., & Hövener, J. (2012) · Journal of Magnetic Resonance · doi:10.1016/j.jmr.2012.08.016 · Cited by 74
Can Quantitative Diffusion-Weighted MR Imaging Differentiate Benign and Malignant Cold Thyroid Nodules? Initial Results in 25 Patients
Schueller-Weidekamm, C., Kaserer, K., Schueller, G., Scheuba, C., Ringl, H., Weber, M., Czerny, C., & Herneth, A. M. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1338 · Cited by 74
Diffusion-weighted imaging for differentiating recurrent cholesteatoma from granulation tissue after mastoidectomy: case report.
Maheshwari, S., & Mukherji, S. K. (2002) · PubMed Central · Cited by 74
Intravoxel incoherent motion (IVIM) in diffusion-weighted imaging (DWI) for Hepatocellular carcinoma: correlation with histologic grade
Granata, V., Fusco, R., Catalano, O., Guarino, B., Granata, F. M., Tatangelo, F., Avallone, A., Piccirillo, M., Palaia, R., Izzo, F., et al. (2016) · Oncotarget · doi:10.18632/oncotarget.12689 · Cited by 74
Transverse NMR relaxation in biological tissues
Kiselev, V. G., & Novikov, D. S. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.002 · Cited by 74
Analysis and comparison of motion‐correction techniques in diffusion‐weighted imaging
Trouard, T. P., Sabharwal, Y. S., Altbach, M. I., & Gmitro, A. F. (1996) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.1880060614 · Cited by 74
Magnetic Resonance Imaging of Human Melanoma Xenograftsin Vivo: Proton Spin—lattice and Spin—spin Relaxation Times Versus Fractional Tumour Water Content and Fraction of Necrotic Tumour Tissue
Rofstad, E. K., Steinsland, E., Kaalhus, O., Chang, Y.-C., Høvik, B., & Lyng, H. (1994) · International Journal of Radiation Biology · doi:10.1080/09553009414550451 · Cited by 74
Gray and white matter degeneration revealed by diffusion in an Alzheimer mouse model
Zerbi, V., Kleinnijenhuis, M., Fang, X., Jansen, D., Veltien, A., Van Asten, J., Timmer, N., Dederen, P. J., Kiliaan, A. J., & Heerschap, A. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2012.11.017 · Cited by 74
Intravoxel incoherent motion (IVIM) MR imaging of colorectal liver metastases: Are we only looking at tumor necrosis?
Chiaradia, M., Baranès, L., Nhieu, J. T. V., Vignaud, A., Laurent, A., Decaens, T., Charles‐Nelson, A., Brugières, P., Katsahian, S., Djabbari, M., et al. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24172 · Cited by 73
Whole body MRI: Improved lesion detection and characterization with diffusion weighted techniques
Attariwala, R., & Picker, W. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.24285 · Cited by 73

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