Search Items: DIFFUSION TENSOR IMAGING - METHODS , . hits: 12
Berger, M; Pirpamer, L; Hofer, E; Ropele, S; Duering, M; Gesierich, B; Pasternak, O; Enzinger, C; Schmidt, R; Koini, M
Free water diffusion MRI and executive function with a speed component in healthy aging.
Neuroimage. 2022; 257:119303
Doi: 10.1016/j.neuroimage.2022.119303
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Egle, M; Hilal, S; Tuladhar, AM; Pirpamer, L; Bell, S; Hofer, E; Duering, M; Wason, J; Morris, RG; Dichgans, M; Schmidt, R; Tozer, DJ; Barrick, TR; Chen, C; de, Leeuw, FE; Markus, HS
Determining the OPTIMAL DTI analysis method for application in cerebral small vessel disease.
Neuroimage Clin. 2022; 35: 103114
Doi: 10.1016/j.nicl.2022.103114
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Egle, M; Hilal, S; Tuladhar, AM; Pirpamer, L; Hofer, E; Duering, M; Wason, J; Morris, RG; Dichgans, M; Schmidt, R; Tozer, D; Chen, C; de, Leeuw, FE; Markus, HS
Prediction of dementia using diffusion tensor MRI measures: the OPTIMAL collaboration.
J Neurol Neurosurg Psychiatry. 2022; 93(1):14-23
Doi: 10.1136/jnnp-2021-326571
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Baykara, E; Gesierich, B; Adam, R; Tuladhar, AM; Biesbroek, JM; Koek, HL; Ropele, S; Jouvent, E; Alzheimer's Disease Neuroimaging Initiative; Chabriat, H; Ertl-Wagner, B; Ewers, M; Schmidt, R; de Leeuw, FE; Biessels, GJ; Dichgans, M; Duering, M
A Novel Imaging Marker for Small Vessel Disease Based on Skeletonization of White Matter Tracts and Diffusion Histograms.
Ann Neurol. 2016; 80(4):581-592
Doi: 10.1002/ana.24758
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Schouten, TM; Koini, M; de Vos, F; Seiler, S; van der Grond, J; Lechner, A; Hafkemeijer, A; Möller, C; Schmidt, R; de Rooij, M; Rombouts, SA
Combining anatomical, diffusion, and resting state functional magnetic resonance imaging for individual classification of mild and moderate Alzheimer's disease.
Neuroimage Clin. 2016; 11:46-51
Doi: 10.1016/j.nicl.2016.01.002
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Dunst, B; Benedek, M; Koschutnig, K; Jauk, E; Neubauer, AC
Sex differences in the IQ-white matter microstructure relationship: a DTI study.
Brain Cogn. 2014; 91: 71-8.
Doi: 10.1016/j.bandc.2014.08.006
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Fazekas, F
Incidental periventricular white matter hyperintensities revisited: what detailed morphologic image analyses can tell us.
AJNR Am J Neuroradiol. 2014; 35(1):63-64
Doi: 10.3174/ajnr.A3714
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Kuhnt, D; Bauer, MH; Egger, J; Richter, M; Kapur, T; Sommer, J; Merhof, D; Nimsky, C
Fiber tractography based on diffusion tensor imaging compared with high-angular-resolution diffusion imaging with compressed sensing: initial experience.
Neurosurgery. 2013; 72 Suppl 1:165-175
Doi: 10.1227/NEU.0b013e318270d9fb
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Reishofer, G; Koschutnig, K; Langkammer, C; Porter, D; Jehna, M; Enzinger, C; Keeling, S; Ebner, F
Time-optimized high-resolution readout-segmented diffusion tensor imaging.
PLoS One. 2013; 8(9):e74156-e74156
Doi: 10.1371/journal.pone.0074156
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Bayer, JD; Blake, RC; Plank, G; Trayanova, NA
A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.
Ann Biomed Eng. 2012; 40(10):2243-2254
Doi: 10.1007/s10439-012-0593-5
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Gebauer, D; Fink, A; Filippini, N; Johansen-Berg, H; Reishofer, G; Koschutnig, K; Kargl, R; Purgstaller, C; Fazekas, F; Enzinger, C
Differences in integrity of white matter and changes with training in spelling impaired children: a diffusion tensor imaging study.
Brain Struct Funct. 2012; 217(3):747-760
Doi: 10.1007/s00429-011-0371-4
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Bauer, MH; Barbieri, S; Klein, J; Egger, J; Kuhnt, D; Freisleben, B; Hahn, HK; Nimsky, C
Boundary estimation of fiber bundles derived from diffusion tensor images.
Int J Comput Assist Radiol Surg. 2011; 6(1):1-11
Doi: 10.1007/s11548-010-0423-x
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