Toward in vivo histology: a comparison of quantitative susceptibility mapping (QSM) with magnitude-, phase-, and R2*-imaging at ultra-high magnetic field strength
Abstract
Quantitative magnetic susceptibility mapping (QSM) has recently been introduced to provide a novel quantitative and local MRI contrast. However, the anatomical contrast represented by in vivo susceptibility maps has not yet been compared systematically and comprehensively with gradient (recalled) echo (GRE) magnitude, frequency, and R(2)(*) images. Therefore, this study compares high-resolution quantitative susceptibility maps with conventional GRE imaging approaches (magnitude, frequency, R(2)(*)) in healthy individuals at 7 T with respect to anatomic tissue contrast. Volumes-of-interest were analyzed in deep and cortical gray matter (GM) as well as in white matter (WM) on R(2)(*) and susceptibility maps. High-resolution magnetic susceptibility maps of the human brain exhibited superb contrast that allowed the identification of substructures of the thalamus, midbrain and basal ganglia, as well as of the cerebral cortex. These were consistent with histology but not generally visible on magnitude, frequency or R(2)(*)-maps. Common target structures for deep brain stimulation, including substantia nigra pars reticulata, ventral intermediate nucleus, subthalamic nucleus, and the substructure of the internal globus pallidus, were clearly distinguishable from surrounding tissue on magnetic susceptibility maps. The laminar substructure of the cortical GM differed depending on the anatomical region, i.e., a cortical layer with increased magnetic susceptibility, corresponding to the Stria of Gennari, was found in the GM of the primary visual cortex, V1, whereas a layer with reduced magnetic susceptibility was observed in the GM of the temporal cortex. Both magnetic susceptibility and R(2)(*) values differed substantially in cortical GM depending on the anatomic regions. Regression analysis between magnetic susceptibility and R(2)(*) values of WM and GM structures suggested that variations in myelin content cause the overall contrast between gray and white matter on susceptibility maps and that both R(2)(*) and susceptibility values provide linear measures for iron content in GM. In conclusion, quantitative magnetic susceptibility mapping provides a non-invasive and spatially specific contrast that opens the door to the assessment of diseases characterized by variation in iron and/or myelin concentrations. Its ability to reflect anatomy of deep GM structures with superb delineation may be useful for neurosurgical applications.
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QSM appears dark where myelin is rich and bright where blood is rich.
“QSM has been shown to be dark in myelin-rich regions and bright in blood-rich regions (Deistung et al., 2013; Stuber and Turner, 2010)”
From Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise (2016) · cites this paper as Deistung et al., 2013
Cites
Multiple Range and Multiple F Tests
Duncan, D. B. (1955) · Biometrics · doi:10.2307/3001478 · Cited by 23,446 · see citing works
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888 · see citing works
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496 · see citing works
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610 · see citing works
A nonparametric method for automatic correction of intensity nonuniformity in MRI data
Sled, J. G., Zijdenbos, A. P., & Evans, A. C. (1998) · IEEE Transactions on Medical Imaging · doi:10.1109/42.668698 · Cited by 4,731 · see citing works
Basser, P. J., & Pierpaoli, C. (1996) · Journal of Magnetic Resonance, Series B · doi:10.1006/jmrb.1996.0086 · Cited by 4,306 · see citing works
Accurate and robust brain image alignment using boundary-based registration
Greve, D. N., & Fischl, B. R. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.060 · Cited by 3,553 · see citing works
Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature
Destrieux, C., Fischl, B., Dale, A., & Halgren, E. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.010 · Cited by 2,956 · see citing works
(1909) · Cited by 2,575 · see citing works
Roemer, P., Edelstein, W. A., Hayes, C. E., Souza, S. P., & Mueller, O. M. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160203 · Cited by 2,337 · see citing works
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
Behrens, T. E. J., Johansen-Berg, H., Woolrich, M. W., Smith, S. M., Wheeler-Kingshott, C. A. M., Boulby, P. A., Barker, G. J., Sillery, E. L., Sheehan, K., Ciccarelli, O., et al. (2003) · Nature Neuroscience · doi:10.1038/nn1075 · Cited by 2,330 · see citing works
Sequence-independent segmentation of magnetic resonance images
Fischl, B. R., Salat, D. H., van der Kouwe, A. J. W., Makris, N., Ségonne, F., Quinn, B. T., & Dale, A. M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.016 · Cited by 2,117 · see citing works
Susceptibility weighted imaging (SWI)
Haacke, E. M., Xu, Y., Cheng, Y. N., & Reichenbach, J. R. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20198 · Cited by 1,582 · see citing works
Self-citationGlasser, M. F., & Van Essen, D. C. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2180-11.2011 · Cited by 1,447 · see citing works
The effect of age on the non-haemin iron in the human brain
Hallgren, B., & Sourander, P. (1958) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1958.tb12607.x · Cited by 1,427 · see citing works
Jeurgen, K., Assheuer, J., & Paxinos, G. (1997) · Medical Entomology and Zoology · Cited by 1,403 · see citing works
Watson, J. D. G., Myers, R., Frackowiak, R. S. J., Hajnal, J. V., Woods, R. P., Mazziotta, J. C., Shipp, S. D., & Zeki, S. (1993) · Cerebral Cortex · doi:10.1093/cercor/3.2.79 · Cited by 1,235 · see citing works
A Population-Average, Landmark- and Surface-based (PALS) atlas of human cerebral cortex
Van Essen, D. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.06.058 · Cited by 1,151 · see citing works
Dexter, D. T., Wells, F. R., Lee, A. J., Agid, F., Agid, Y., Jenner, P., & Marsden, C. D. (1989) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1989.tb07264.x · Cited by 1,149 · see citing works
Perlmutter, J. S., & Mink, J. W. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112824 · Cited by 1,073 · see citing works
DEXTER, D. T., CARAYON, A., JAVOY-AGID, F., AGID, Y., WELLS, F. R., DANIEL, S. E., LEES, A. J., JENNER, P., & MARSDEN, C. D. (1991) · Brain · doi:10.1093/brain/114.4.1953 · Cited by 1,043 · cited 1× · see citing works
“…Alzheimer's disease (Bouras et al., 1997; Hallgren and Sourander, 1960; LeVine, 1997), multiple sclerosis (LeVine, 1997), and Parkinson's disease (Dexter et al., 1989, 1991), as well as healthy aging (Hallgren and Sourander, 1958) are associated with elevated concentration of iron in deep GM…”
Imaging iron stores in the brain using magnetic resonance imaging
Haacke, E. M., Cheng, N. Y. C., House, M. J., Liu, Q., Neelavalli, J., Ogg, R. J., Khan, A., Ayaz, M., Kirsch, W., & Obenaus, A. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.10.001 · Cited by 995 · see citing works
Atlas for Stereotaxy of the Human Brain
Schaltenbrand, G., & Wahren, W. (1977) · Medical Entomology and Zoology · Cited by 929 · see citing works
Cytoarchitecture of the Human Brain Stem.
Boyd, J. D. (1955) · Archives of Ophthalmology · doi:10.1001/archopht.1955.00930010774037 · Cited by 897 · see citing works
Atlas for stereotaxy of the human brain
Bosch, D. A. (1978) · Clinical Neurology and Neurosurgery · doi:10.1016/s0303-8467(78)80027-4 · Cited by 877 · see citing works
Langkammer, C., Schweser, F., Krebs, N., Deistung, A., Goessler, W., Scheurer, E., Sommer, K., Reishofer, G., Yen, K., Fazekas, F., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.049 · Cited by 801 · see citing works
Self-citationIn vivo measurement of T 2 distributions and water contents in normal human brain
Whittall, K. P., MacKay, A. L., Graeb, D. A., Nugent, R. A., Li, D. K. B., & Paty, D. W. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370107 · Cited by 796 · see citing works
Schweser, F., Deistung, A., Lehr, B. W., & Reichenbach, J. R. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.070 · Cited by 713 · see citing works
Self-citationJellison, B. J., Field, A. S., Medow, J. E., Lazar, M., Salamat, M. S., & Alexander, A. L. (2004) · PubMed Central · Cited by 681 · see citing works
de Rochefort, L., Liu, T., Kressler, B., Liu, J., Spincemaille, P., Lebon, V., Wu, J., & Wang, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22187 · Cited by 672 · see citing works
Multiarchitectonic and stereotactic atlas of the human thalamus
Morel, A., Magnin, M., & Jeanmonod, D. (1997) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19971103)387:4 · Cited by 642 · see citing works
High-field MRI of brain cortical substructure based on signal phase
Duyn, J. H., van Gelderen, P., Li, T., de Zwart, J. A., Koretsky, A. P., & Fukunaga, M. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0610821104 · Cited by 641 · see citing works
Brodmann's Areas 17 and 18 Brought into Stereotaxic Space—Where and How Variable?
Amunts, K., Maliković, A., Mohlberg, H., Schormann, T., & Zilles, K. (2000) · NeuroImage · doi:10.1006/nimg.1999.0516 · Cited by 640 · see citing works
Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
Li, W., Wu, B. H., & Liu, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.088 · Cited by 625 · see citing works
Small vessels in the human brain: MR venography with deoxyhemoglobin as an intrinsic contrast agent.
Reichenbach, J. R., Venkatesan, R., Schillinger, D. J., Kido, D. K., & Haacke, E. M. (1997) · Radiology · doi:10.1148/radiology.204.1.9205259 · Cited by 606 · see citing works
Self-citationMagnetic susceptibility mapping of brain tissue in vivo using MRI phase data
Shmueli, K., de Zwart, J. A., van Gelderen, P., Li, T., Dodd, S. J., & Duyn, J. H. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22135 · Cited by 529 · see citing works
Quantitative MR Imaging of Brain Iron: A Postmortem Validation Study
Langkammer, C., Krebs, N., Goessler, W., Scheurer, E., Ebner, F., Yen, K., Fazekas, F., & Ropele, S. (2010) · Radiology · doi:10.1148/radiol.10100495 · Cited by 508 · see citing works
MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping
Bilgic, B., Pfefferbaum, A., Rohlfing, T., Sullivan, E. V., & Adalsteinsson, E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.077 · Cited by 499 · see citing works
Myelin water imaging in multiple sclerosis: quantitative correlations with histopathology
Laule, C., Leung, E., Li, D. K., Traboulsee, A. L., Paty, D. W., MacKay, A. L., & Moore, G. R. (2006) · Multiple Sclerosis Journal · doi:10.1177/1352458506070928 · Cited by 489 · see citing works
Spees, W. M., Yablonskiy, D. A., Oswood, M. C., & Ackerman, J. J. H. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1072 · Cited by 463 · see citing works
Liu, T., Spincemaille, P., de Rochefort, L., Kressler, B., & Wang, Y. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21828 · Cited by 454 · see citing works
Whole brain susceptibility mapping using compressed sensing
Wu, B. H., Li, W., Guidon, A., & Liu, C. (2011) · Magnetic Resonance in Medicine · doi:10.1002/mrm.23000 · Cited by 420 · see citing works
Nuclear magnetic resonance of paramagnetic metalloproteins
Bertini, I., Turano, P., & Vila, A. J. (1993) · Chemical Reviews · doi:10.1021/cr00024a009 · Cited by 416 · see citing works
Quantitative imaging of magnetization transfer exchange and relaxation properties in vivo using MRI
Sled, J. G., & Pike, G. B. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1278 · Cited by 412 · see citing works
Layer-specific variation of iron content in cerebral cortex as a source of MRI contrast
Fukunaga, M., Li, T.-Q., van Gelderen, P., de Zwart, J. A., Shmueli, K., Yao, B., Lee, J., Maric, D., Aronova, M. A., Zhang, G., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911177107 · Cited by 408 · see citing works
Clarke, S., & Judith Miklossy, A. (1990) · The Journal of Comparative Neurology · doi:10.1002/cne.902980205 · Cited by 399 · see citing works
Myelin water imaging of multiple sclerosis at 7 T: Correlations with histopathology
Laule, C., Kozłowski, P., Leung, E., Li, D. K. B., MacKay, A. L., & Moore, G. R. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.12.008 · Cited by 379 · see citing works
Gelman, N., Gorell, J. M., Barker, P. B., Savage, R. M., Spickler, E. M., Windham, J. P., & Knight, R. A. (1999) · Radiology · doi:10.1148/radiology.210.3.r99fe41759 · Cited by 373 · see citing works
Methods for microelectrode-guided posteroventral pallidotomy
Lozano, A. M., Hutchison, W. D., Kiss, Z. H. T., Tasker, R. R., Davis, K. D., & Dostrovsky, J. O. (1996) · Journal of neurosurgery · doi:10.3171/jns.1996.84.2.0194 · Cited by 358 · see citing works
Liu, C. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22482 · Cited by 333 · see citing works
Deep Brain Stimulation for Neurologic and Neuropsychiatric Disorders
Wichmann, T., & DeLong, M. R. (2006) · Neuron · doi:10.1016/j.neuron.2006.09.022 · Cited by 331 · see citing works
Stereotactic Atlas of the Human Thalamus and Basal Ganglia
Morel, A. (2007) · CRC Press eBooks · doi:10.3109/9781420016796 · Cited by 329 · see citing works
Interhemispheric Asymmetries of the Modular Structure in Human Temporal Cortex
Galuske, R. A. W., Schlote, W., Bratzke, H., et al. (2000) · Science · doi:10.1126/science.289.5486.1946 · Cited by 318 · see citing works
Solution NMR of Paramagnetic Molecules - Applications to Metallobiomolecules and Models
(2001) · Current methods in inorganic chemistry · doi:10.1016/s1873-0418(01)x8001-9 · Cited by 306 · see citing works
Susceptibility mapping as a means to visualize veins and quantify oxygen saturation
Haacke, E. M., Tang, J., Neelavalli, J., et al. (2010) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22276 · Cited by 306 · see citing works
Salat, D. H., Lee, S. Y., van der Kouwe, A. J. W., Greve, D. N., Fischl, B. R., & Rosas, H. D. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.06.074 · Cited by 295 · see citing works
Fast and robust three-dimensional best path phase unwrapping algorithm
Abdul-Rahman, H. S., Gdeisat, M. A., Burton, D. R., et al. (2007) · Applied Optics · doi:10.1364/ao.46.006623 · Cited by 293 · see citing works
Susceptibility contrast in high field MRI of human brain as a function of tissue iron content
Yao, B., Li, T., van Gelderen, P., Shmueli, K., de Zwart, J. A., & Duyn, J. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.10.029 · Cited by 282 · see citing works
Iron deposits in multiple sclerosis and Alzheimer's disease brains
LeVine, S. M. (1997) · Brain Research · doi:10.1016/s0006-8993(97)00470-8 · Cited by 258 · see citing works
T2* measurements in human brain at 1.5, 3 and 7 T
Peters, A. M., Brookes, M. J., Hoogenraad, F. G. C., et al. (2007) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2007.02.014 · Cited by 254 · see citing works
Anatomical Evidence for MT and Additional Cortical Visual Areas in Humans
Tootell, R. B. H., & Taylor, J. B. (1995) · Cerebral Cortex · doi:10.1093/cercor/5.1.39 · Cited by 253 · see citing works
Automatic segmentation of thalamic nuclei from diffusion tensor magnetic resonance imaging
Wiegell, M. R., Tuch, D. S., Larsson, H. B. W., & Wedeen, V. J. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00044-2 · Cited by 253 · see citing works
Susceptibility mapping in the human brain using threshold‐based k‐space division
Wharton, S., Schäfer, A., & Bowtell, R. W. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22334 · Cited by 248 · see citing works
Self-citationHigh‐resolution BOLD venographic imaging: a window into brain function
Reichenbach, J. R., & Haacke, E. M. (2001) · NMR in Biomedicine · doi:10.1002/nbm.722 · Cited by 248 · see citing works
Self-citationThe use of power images to perform quantitative analysis on low SNR MR images
Miller, A. J., & Joseph, P. M. (1993) · Magnetic Resonance Imaging · doi:10.1016/0730-725x(93)90225-3 · Cited by 247 · see citing works
Geyer, S., Weiß, M., Reimann, K., Lohmann, G., & Turner, R. (2011) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00019 · Cited by 247 · see citing works
Self-citationSchweser, F., Sommer, K., Deistung, A., & Reichenbach, J. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.05.067 · Cited by 243 · see citing works
Self-citationSchweser, F., Deistung, A., Lehr, B. W., et al. (2010) · Medical Physics · doi:10.1118/1.3481505 · Cited by 241 · see citing works
Self-citationTrépanier, L. L., Kumar, R., Lozano, A. M., Lang, A. E., & Saint‐Cyr, J. A. (2000) · Brain and Cognition · doi:10.1006/brcg.1999.1108 · Cited by 237 · see citing works
Cholesterol of myelin is the determinant of gray‐white contrast in MRI of brain
Koenig, S. H. (1991) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910200210 · Cited by 234 · see citing works
High-field (9.4T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility
Liu, C., Li, W., Johnson, G. A., & Wu, B. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.02.024 · Cited by 231 · see citing works
Abosch, A., Yacoub, E. S., Uǧurbil, K., & Harel, N. (2010) · Neurosurgery · doi:10.1227/neu.0b013e3181f74105 · Cited by 229 · see citing works
A weighted total least-squares algorithm for fitting a straight line
Krystek, M. P., & Anton, M. (2007) · Measurement Science and Technology · doi:10.1088/0957-0233/18/11/025 · Cited by 218 · see citing works
Histochemical Distribution of Non-Haem Iron in the Human Brain
Morris, C. M., Candy, J., Oakley, A. E., Bloxham, C. A., & Edwardson, J. A. (1992) · Cells Tissues Organs · doi:10.1159/000147312 · Cited by 218 · see citing works
High resolution magnetic susceptibility mapping of the substantia nigra in Parkinson's disease
Lotfipour, A. K., Wharton, S., Schwarz, S. T., Gontu, V. K., Schäfer, A., Peters, A. M., Bowtell, R. W., Auer, D. P., Gowland, P. A., & Bajaj, N. P. S. (2011) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.22752 · Cited by 210 · see citing works
Self-citationMagnetic susceptibility anisotropy of human brain in vivo and its molecular underpinnings
Li, W., Wu, B. H., Avram, A., & Liu, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.038 · Cited by 210 · see citing works
Ogg, R. J., Langston, J. W., Haacke, E. M., Steen, R. G., & Taylor, J. S. (1999) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(99)00017-x · Cited by 205 · see citing works
Lee, J., Shmueli, K., Kang, B., Yao, B., Fukunaga, M., van Gelderen, P., Palumbo, S., Bosetti, F., Silva, A. C., & Duyn, J. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.10.076 · Cited by 205 · see citing works
An unbiased signal‐to‐noise ratio measure for magnetic resonance images
McGibney, G., & Smith, M. R. (1993) · Medical Physics · doi:10.1118/1.597004 · Cited by 196 · see citing works
Ding, S., Van Hoesen, G. W., Cassell, M. D., & Poremba, A. (2009) · Journal of Comparative Neurology · doi:10.1002/cne.22053 · Cited by 191 · see citing works
Cerebral Microbleeds: Burden Assessment by Using Quantitative Susceptibility Mapping
Liu, T., Surapaneni, K. R., Lou, M., Cheng, L., Spincemaille, P., & Wang, Y. (2011) · Radiology · doi:10.1148/radiol.11110251 · Cited by 190 · see citing works
Wharton, S., & Bowtell, R. W. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.070 · Cited by 189 · see citing works
Anatomic asymmetries of the posterior superior temporal lobes: a postmortem study.
Anderson, B., Southern, B. D., & Powers, R. E. (1999) · PubMed · Cited by 179 · see citing works
Sigalovsky, I. S., Fischl, B. R., & Melcher, J. R. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.023 · Cited by 178 · see citing works
In vivo multi-slice mapping of myelin water content using T2* decay
Hwang, D., Kim, D., & Du, Y. P. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.04.023 · Cited by 169 · see citing works
Deistung, A., Rauscher, A., Sedlacik, J., Stadler, J., Witoszynskyj, S., & Reichenbach, J. R. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21754 · Cited by 169 · see citing works
Self-citationHammond, K. E., Lupo, J., Xu, D., Metcalf, M., Kelley, D. A. C., Pelletier, D., Chang, S. M., Mukherjee, P., Vigneron, D. B., & Nelson, S. J. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.10.037 · Cited by 166 · see citing works
Cytoarchitecture of the human cerebral cortex: MR microscopy of excised specimens at 9.4 Tesla.
Fatterpekar, G. M., Naidich, T. P., Delman, B. N., Aguinaldo, J. G. S., Gultekin, S. H., Sherwood, C. C., Hof, P. R., Drayer, B. P., & Fayad, Z. A. (2002) · PubMed Central · Cited by 162 · see citing works
Dormont, D., Ricciardi, K. G., Tandé, D., et al. (2004) · PubMed · Cited by 161 · see citing works
Barbier, E., Marrett, S., Danek, A., Vortmeyer, A. O., van Gelderen, P., Duyn, J. H., Bandettini, P. A., Grafman, J. H., & Koretsky, A. P. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10255 · Cited by 156 · see citing works
Clark, V. P., Courchesne, E., & Grafe, M. R. (1992) · Cerebral Cortex · doi:10.1093/cercor/2.5.417 · Cited by 150 · see citing works
Regression: linear models in statistics
(2011) · Choice Reviews Online · doi:10.5860/choice.48-4532 · Cited by 142 · see citing works
T 2 *-based fiber orientation mapping
Lee, J., van Gelderen, P., Kuo, L., Merkle, H., Silva, A. C., & Duyn, J. H. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.026 · Cited by 141 · see citing works
Cohen‐Adad, J., Polimeni, J. R., Helmer, K. G., Benner, T., McNab, J. A., Wald, L. L., Rosen, B. R., & Mainero, C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.053 · Cited by 141 · see citing works
Schenck, J. F. (1992) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1992.tb49617.x · Cited by 140 · see citing works
Li, T., van Gelderen, P., Merkle, H., Talagala, L., Koretsky, A. P., & Duyn, J. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.05.053 · Cited by 137 · see citing works
The influence of white matter fibre orientation on MR signal phase and decay
Denk, C., Hernández‐Torres, E., MacKay, A. L., & Rauscher, A. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1581 · Cited by 135 · see citing works
Tang, J., Liu, S., Neelavalli, J., et al. (2012) · Magnetic Resonance in Medicine · doi:10.1002/mrm.24384 · Cited by 131 · see citing works
Susceptibility induced gray–white matter MRI contrast in the human brain
Langkammer, C., Krebs, N., Goessler, W., Scheurer, E., Yen, K., Fazekas, F., & Ropele, S. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.045 · Cited by 128 · see citing works
Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex
Bridge, H., Clare, S., Jenkinson, M., Jezzard, P., Parker, A. J., & Matthews, P. M. (2005) · Journal of Vision · doi:10.1167/5.2.1 · Cited by 125 · see citing works
The in vivo influence of white matter fiber orientation towards B0 on T2* in the human brain
Bender, B., & Klose, U. (2010) · NMR in Biomedicine · doi:10.1002/nbm.1534 · Cited by 120 · see citing works
MR venography of the human brain using susceptibility weighted imaging at very high field strength
Koopmans, P. J., Manniesing, R., Niessen, W. J., et al. (2008) · Magnetic Resonance Materials in Physics Biology and Medicine · doi:10.1007/s10334-007-0101-3 · Cited by 118 · see citing works
Detection of entorhinal layer II using Tesla magnetic resonance imaging
Augustinack, J. C., van der Kouwe, A. J. W., Blackwell, M. L., Salat, D. H., Wiggins, C. J., Frosch, M. P., Wiggins, G. C., Potthast, A., Wald, L. L., & Fischl, B. R. (2005) · Annals of Neurology · doi:10.1002/ana.20426 · Cited by 117 · see citing works
Fast quantitative mapping of absolute water content with full brain coverage
Neeb, H., Ermer, V., Stöcker, T., et al. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.060 · Cited by 117 · see citing works
Volume and iron content in basal ganglia and thalamus
Péran, P., Cherubini, A., Luccichenti, G., Hagberg, G. E., Démonet, J., Rascol, O., Celsis, P., Caltagirone, C., Spalletta, G., & Sabatini, U. (2009) · Human Brain Mapping · doi:10.1002/hbm.20698 · Cited by 116 · see citing works
Bouras, C., Giannakopoulos, P., Good, P. F., Hsu, A., Hof, P. R., & Perl, D. P. (2007) · European Neurology · doi:10.1159/000112903 · Cited by 112 · see citing works
A myelo-architectonic method for the structural classification of cortical areas
Annese, J., Pitiot, A., Dinov, I. D., & Toga, A. W. (2003) · NeuroImage · doi:10.1016/j.neuroimage.2003.08.024 · Cited by 110 · see citing works
Using magnetic field simulation to study susceptibility-related phase contrast in gradient echo MRI
Schäfer, A., Wharton, S., Gowland, P. A., & Bowtell, R. W. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.05.093 · Cited by 110 · see citing works
Self-citationMapping magnetic susceptibility anisotropies of white matter in vivo in the human brain at 7T
Li, X., Vikram, D. S., Lim, I. A. L., Jones, C. K., Farrell, J. A. D., & van Zijl, P. C. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.042 · Cited by 102 · see citing works
Stereotactic imaging of the pallidal target
Hirabayashi, H., Tengvar, M., & Hariz, M. I. (2002) · Movement Disorders · doi:10.1002/mds.10154 · Cited by 96 · see citing works
Andreas Schäfer, A., Forstmann, B. U., Neumann, J., Wharton, S., Mietke, A., Bowtell, R. W., & Turner, R. (2011) · Human Brain Mapping · doi:10.1002/hbm.21404 · Cited by 96 · see citing works
Self-citationTHE NON‐HAEMIN IRON IN THE CEREBRAL CORTEX IN ALZHEIMER'S DISEASE
Hallgren, B., & Sourander, P. (1960) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1960.tb13369.x · Cited by 88 · see citing works
Klohs, J., Deistung, A., Schweser, F., Grandjean, J., Dominietto, M., Waschkies, C., Nitsch, R. M., Knuesel, I., Reichenbach, J. R., & Rudin, M. (2011) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2011.118 · Cited by 83 · see citing works
Self-citationSusceptibility Weighted Imaging in MRI: Basic Concepts and Clinical Applications
Haacke, E. M., & Reichenbach, J. R. (2011) · Cited by 81 · see citing works
Self-citationCytoarchitecture of the Human Brain Stem
Y., P. I. (1954) · Neurology · doi:10.1212/wnl.4.11.881 · Cited by 80 · see citing works
Cheng, Y. N., Neelavalli, J., & Haacke, E. M. (2009) · Physics in Medicine and Biology · doi:10.1088/0031-9155/54/5/005 · Cited by 79 · see citing works
Localization of the Subthalamic Nucleus: Optimization with Susceptibility-Weighted Phase MR Imaging
Vertinsky, A. T., Coenen, V. A., Lang, D. J., et al. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1669 · Cited by 78 · see citing works
The future of susceptibility contrast for assessment of anatomy and function
Reichenbach, J. R. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.004 · Cited by 73 · see citing works
Self-citationCharacterizing the Mesencephalon Using Susceptibility-Weighted Imaging
Manova, E., Habib, C. A., Boikov, A. S., et al. (2008) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1401 · Cited by 71 · see citing works
In vivo quantification of T2⁎ anisotropy in white matter fibers in marmoset monkeys
Sati, P., Silva, A. C., van Gelderen, P., et al. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.08.064 · Cited by 70 · see citing works
Patel, N. K., Khan, S., & Gill, S. S. (2008) · Stereotactic and Functional Neurosurgery · doi:10.1159/000120427 · Cited by 67 · see citing works
Action of Compression and Cations on the Proton and Deuterium Relaxation in Cartilage
Lüsse, S., Knauss, R., Werner, A., et al. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910330405 · Cited by 64 · see citing works
Human imaging at 9.4 T using T 2 *‐, phase‐, and susceptibility‐weighted contrast
Budde, J., Shajan, G., Hoffmann, J., et al. (2010) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22632 · Cited by 57 · see citing works
Current Methods in Inorganic Chemistry
(2001) · Current methods in inorganic chemistry · doi:10.1016/s1873-0418(13)70001-0 · Cited by 54 · see citing works
Magnetization Transfer Ratio in Early Period of Parkinson Disease
Yonca Akgoz, A. N. I. K., İşeri, P., Demırcı, A., et al. (2007) · Academic Radiology · doi:10.1016/j.acra.2006.11.005 · Cited by 51 · see citing works
Lemaire, J., Sakka, L. J., Ouchchane, L., et al. (2010) · Operative Neurosurgery · doi:10.1227/01.neu.0000365617.41061.a3 · Cited by 50 · see citing works
Localization of the Human Cortical Visual Area MT Based on Computer Aided Histological Analysis
Annese, J., Gazzaniga, M. S., & Toga, A. W. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh205 · Cited by 50 · see citing works
Human subthalamic nucleus: evaluation with high-resolution MR imaging at 3.0 T
Kitajima, M., Korogi, Y., Kakeda, S., et al. (2008) · Neuroradiology · doi:10.1007/s00234-008-0388-4 · Cited by 48 · see citing works
Independent anatomical and functional measures of the V1/V2 boundary in human visual cortex.
Bridge, H., Clare, S., Jenkinson, M., Jezzard, P., Parker, A. J., & Matthews, P. M. (2005) · Journal of Visualization · Cited by 48 · see citing works
Optimised in vivo visualisation of cortical structures in the human brain at 3 T using IR-TSE
Turner, R., Oros‐Peusquens, A., Romanzetti, S., Zilles, K., & Shah, N. J. (2008) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2008.01.043 · Cited by 41 · see citing works
Self-citationThalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging
Duan, Y., Li, X., & Xi, Y. (2007) · International Journal of Biomedical Imaging · doi:10.1155/2007/90216 · Cited by 41 · see citing works
Directional colour encoding of the human thalamus by diffusion tensor imaging
Unrath, A., Klose, U., Grodd, W., Ludolph, A. C., & Kassubek, J. (2008) · Neuroscience Letters · doi:10.1016/j.neulet.2008.02.013 · Cited by 36 · see citing works
Phase contrast imaging in neonates
Zhong, K., Ernst, T., Buchthal, S. D., Speck, O., Anderson, L. M., & Chang, L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.086 · Cited by 36 · see citing works
Evaluation of algorithms for analysis of NMR relaxation decay curves
van der Weerd, L., Vergeldt, F. J., de Jager, P. A., et al. (2000) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(00)00200-9 · Cited by 36 · see citing works
The microanatomical environment of the subthalamic nucleus
Rijkers, K., Temel, Y., Visser-Vandewalle, V. E. R. M., et al. (2007) · Journal of neurosurgery · doi:10.3171/jns-07/07/0198 · Cited by 31 · see citing works
Nolte, I. S., Gerigk, L., Al‐Zghloul, M., Groden, C., & Kerl, H. U. (2011) · Acta Neurochirurgica · doi:10.1007/s00701-011-1242-8 · Cited by 31 · see citing works
Representation of the fovea in the superior temporal sulcus of the macaque monkey
Erickson, R. G., Dow, B. M., & Snyder, A. Z. (1989) · Experimental Brain Research · doi:10.1007/bf00230690 · Cited by 23 · see citing works
Thalamus Segmentation from Diffusion Tensor Magnetic Resonance Imaging
Duan, Y., Heckenberg, G., Xi, Y., & Hao, D. (2006) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.2006.260839 · Cited by 15 · see citing works
Pu, Y., Liu, Y., Hou, J., et al. (2000) · PubMed · Cited by 13 · see citing works
Adding additional covariates and the Analysis of Covariance
Bingham, Ν. H., & Fry, J. M. (2010) · Springer undergraduate mathematics series · doi:10.1007/978-1-84882-969-5_5 · Cited by 5 · see citing works
Schäfer, A., Gowland, P. A., & Bowtell, R. W. (2008) · Max Planck Digital Library · Cited by 3 · see citing works
Self-citationStüber, C., Morawski, M., Reimann, K., et al. (2011) · Max Planck Digital Library · Cited by 2 · see citing works
Schäfer, A., Ott, D. V. M., Focke, A., et al. (2011) · Max Planck Digital Library · Cited by 1 · see citing works
Self-citationSlow vasomotor fluctuation in fMRI of anesthetized child brain
Kiviniemi, V., Jauhiainen, J., Tervonen, O., P��kk�, E., Oikarinen, J., Vainionp��, V., Rantala, H., & Biswal, B. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200009)44:3
Broca's region revisited: Cytoarchitecture and intersubject variability
Amunts, K., Schleicher, A., B�rgel, U., Mohlberg, H., Uylings, H. B. M., & Zilles, K. (1999) · The Journal of Comparative Neurology · doi:10.1002/(sici)1096-9861(19990920)412:2
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An overview of deep learning in medical imaging focusing on MRI
Lundervold, A. S., & Lundervold, A. (2019) · Zeitschrift für Medizinische Physik · doi:10.1016/j.zemedi.2018.11.002 · Cited by 2,058 · see citing works
Quantitative susceptibility mapping: current status and future directions
Haacke, E. M., Liu, S., Buch, S., Zheng, W., Wu, D., & Ye, Y. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.09.004 · Cited by 511 · see citing works
Overview of quantitative susceptibility mapping
Deistung, A., Schweser, F., & Reichenbach, J. R. (2017) · NMR in Biomedicine · doi:10.1002/nbm.3569 · Cited by 338 · see citing works
Kaunzner, U. W., Kang, Y., Zhang, S., Morris, E., Yao, Y., Pandya, S., Hurtado Rua, S. M., Park, C., Gillen, K. M., Nguyen, T. D., et al. (2019) · Brain · doi:10.1093/brain/awy296 · Cited by 199 · see citing works
Thomas, A. G., Dennis, A., Rawlings, N. B., Stagg, C. J., Matthews, L., Morris, M., Kolind, S. H., Foxley, S., Jenkinson, M., Nichols, T. E., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.10.090 · Cited by 152 · see citing works
“• QSM has been shown to be dark in myelin-rich regions and bright in blood-rich regions (Deistung et al., 2013; Stuber and Turner, 2010), thus making clear predictions for both a myelin and vasculature change.”
BackgroundInfluentialAdvanced MRI techniques to improve our understanding of experience-induced neuroplasticity
Tardif, C. L., Gauthier, C. J., Steele, C. J., Bazin, P.-L., Schäfer, A., Schaefer, A., Turner, R., & Villringer, A. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.047 · Cited by 127 · see citing works
Self-citationHigher and deeper: Bringing layer fMRI to association cortex
Finn, E. S., Huber, L., & Bandettini, P. A. (2021) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101930 · Cited by 47 · see citing works
- Authors
- Deistung, A., Schäfer, A., Schweser, F., Biedermann, U., Turner, R., & Reichenbach, J. R.
- Affiliations
- Jena University Hospital (DE)
- Max Planck Society (DE)
- Corresponding author
- Deistung, Andreas
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 65
- Pages
- 299-314
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W1981155372
- Cited by
- 442
- References
- 146
- Citations by year
- 2026: 18 · 2025: 21 · 2024: 32 · 2023: 24 · 2022: 34 · 2021: 38 · 2020: 47 · 2019: 29 · 2018: 47 · 2017: 37 · 2016: 36 · 2015: 29 · 2014: 31 · 2013: 19
- FWCI
- 19.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Universitätsbibliographie, Universität Duisburg-Essen (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- German Research Foundation (DFG (RE 1123/9-2)
- Carl Zeiss Foundation
- Max-Planck Society
- 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 › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- quantitative susceptibility mapping, R2* mapping, gradient echo MRI, ultra-high field MRI, 7 T, brain iron content, myelin content, gray matter, white matter, deep brain stimulation targets, substantia nigra pars reticulata, subthalamic nucleus, globus pallidus, thalamus, cerebral cortex, histopathological confirmation, neurosurgical planning
- MeSH terms
- Brain, Brain Mapping, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging
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