Suchbegriffe: MAGNETIC SUSCEPTIBILITY, . Treffer: 21
Cognolato, F; O'Brien, K; Jin, J; Robinson, S; Laun, FB; Barth, M; Bollmann, S
NeXtQSM-A complete deep learning pipeline for data-consistent Quantitative Susceptibility Mapping trained with hybrid data
MED IMAGE ANAL. 2023; 84: 102700
Doi: 10.1016/j.media.2022.102700
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Hagberg, GE; Eckstein, K; Tuzzi, E; Zhou, JZ; Robinson, S; Scheffler, K
Phase-based masking for quantitative susceptibility mapping of the human brain at 9.4T
MAGN RESON MED. 2022;
Doi: 10.1002/mrm.29368
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Sibgatulin, R; Güllmar, D; Deistung, A; Enzinger, C; Ropele, S; Reichenbach, JR
Magnetic susceptibility anisotropy in normal appearing white matter in multiple sclerosis from single-orientation acquisition.
Neuroimage Clin. 2022; 35:103059
Doi: 10.1016/j.nicl.2022.103059
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Sibgatulin, R; Güllmar, D; Deistung, A; Ropele, S; Reichenbach, JR
In vivo assessment of anisotropy of apparent magnetic susceptibility in white matter from a single orientation acquisition.
Neuroimage. 2021; 241:118442
Doi: 10.1016/j.neuroimage.2021.118442
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Milovic, C; Tejos, C; Acosta-Cabronero, J; Özbay, PS; Schwesser, F; Marques, JP; Irarrazaval, P; Bilgic, B; Langkammer, C
The 2016 QSM Challenge: Lessons learned and considerations for a future challenge design.
Magn Reson Med. 2020; 84(3):1624-1637
Doi: 10.1002/mrm.28185
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Bollmann, S; Rasmussen, KGB; Kristensen, M; Blendal, RG; Østergaard, LR; Plocharski, M; O'Brien, K; Langkammer, C; Janke, A; Barth, M
DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping.
Neuroimage. 2019; 195(2):373-383
Doi: 10.1016/j.neuroimage.2019.03.060
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Wilson, D; Ambler, G; Lee, KJ; Lim, JS; Shiozawa, M; Koga, M; Li, L; Lovelock, C; Chabriat, H; Hennerici, M; Wong, YK; Mak, HKF; Prats-Sánchez, L; Martínez-Domeño, A; Inamura, S; Yoshifuji, K; Arsava, EM; Horstmann, S; Purrucker, J; Lam, BYK; Wong, A; Kim, YD; Song, TJ; Schrooten, M; Lemmens, R; Eppinger, S; Gattringer, T; Uysal, E; Tanriverdi, Z; Bornstein, NM; Assayag, EB; Hallevi, H; Tanaka, J; Hara, H; Coutts, SB; Hert, L; Polymeris, A; Seiffge, DJ; Lyrer, P; Algra, A; Kappelle, J; Al-Shahi Salman, R; Jäger, HR; Lip, GYH; Mattle, HP; Panos, LD; Mas, JL; Legrand, L; Karayiannis, C; Phan, T; Gunkel, S; Christ, N; Abrigo, J; Leung, T; Chu, W; Chappell, F; Makin, S; Hayden, D; Williams, DJ; Kooi, ME; van Dam-Nolen, DHK; Barbato, C; Browning, S; Wiegertjes, K; Tuladhar, AM; Maaijwee, N; Guevarra, C; Yatawara, C; Mendyk, AM; Delmaire, C; Köhler, S; van Oostenbrugge, R; Zhou, Y; Xu, C; Hilal, S; Gyanwali, B; Chen, C; Lou, M; Staals, J; Bordet, R; Kandiah, N; de Leeuw, FE; Simister, R; van der Lugt, A; Kelly, PJ; Wardlaw, JM; Soo, Y; Fluri, F; Srikanth, V; Calvet, D; Jung, S; Kwa, VIH; Engelter, ST; Peters, N; Smith, EE; Yakushiji, Y; Orken, DN; Fazekas, F; Thijs, V; Heo, JH; Mok, V; Veltkamp, R; Ay, H; Imaizumi, T; Gomez-Anson, B; Lau, KK; Jouvent, E; Rothwell, PM; Toyoda, K; Bae, HJ; Marti-Fabregas, J; Werring, DJ; Microbleeds International Collaborative Network
Cerebral microbleeds and stroke risk after ischaemic stroke or transient ischaemic attack: a pooled analysis of individual patient data from cohort studies.
Lancet Neurol. 2019; 18(7): 653-665.
Doi: 10.1016/S1474-4422(19)30197-8
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Birkl, C; Carassiti, D; Hussain, F; Langkammer, C; Enzinger, C; Fazekas, F; Schmierer, K; Ropele, S
Assessment of ferritin content in multiple sclerosis brains using temperature-induced R*2 changes.
Magn Reson Med. 2018; 79(3):1609-1615
Doi: 10.1002/mrm.26780
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Birkl, C; Soellradl, M; Toeglhofer, AM; Krassnig, S; Leoni, M; Pirpamer, L; Vorauer, T; Krenn, H; Haybaeck, J; Fazekas, F; Ropele, S; Langkammer, C
Effects of concentration and vendor specific composition of formalin on postmortem MRI of the human brain.
Magn Reson Med. 2018; 79(2):1111-1115
Doi: 10.1002/mrm.26699
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Chatnuntawech, I; McDaniel, P; Cauley, SF; Gagoski, BA; Langkammer, C; Martin, A; Grant, PE; Wald, LL; Setsompop, K; Adalsteinsson, E; Bilgic, B
Single-step quantitative susceptibility mapping with variational penalties.
NMR Biomed. 2017; 30(4):
Doi: 10.1002/nbm.3570
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Ropele, S; Enzinger, C; Fazekas, F
Iron Mapping in Multiple Sclerosis.
Neuroimaging Clin N Am. 2017; 27(2):335-342
Doi: 10.1016/j.nic.2016.12.003
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Langkammer, C; Pirpamer, L; Seiler, S; Deistung, A; Schweser, F; Franthal, S; Homayoon, N; Katschnig-Winter, P; Koegl-Wallner, M; Pendl, T; Stoegerer, EM; Wenzel, K; Fazekas, F; Ropele, S; Reichenbach, JR; Schmidt, R; Schwingenschuh, P
Quantitative Susceptibility Mapping in Parkinson's Disease.
PLoS One. 2016; 11(9):e0162460-e0162460
Doi: 10.1371/journal.pone.0162460
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Birkl, C; Langkammer, C; Krenn, H; Goessler, W; Ernst, C; Haybaeck, J; Stollberger, R; Fazekas, F; Ropele, S
Iron mapping using the temperature dependency of the magnetic susceptibility.
Magn Reson Med. 2015; 73(3): 1282-1288.
Doi: 10.1002/mrm.25236
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Langkammer, C; Bredies, K; Poser, BA; Barth, M; Reishofer, G; Fan, AP; Bilgic, B; Fazekas, F; Mainero, C; Ropele, S
Fast quantitative susceptibility mapping using 3D EPI and total generalized variation.
Neuroimage. 2015; 111(4): 622-630.
Doi: 10.1016/j.neuroimage.2015.02.041
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Li, W; Langkammer, C; Chou, YH; Petrovic, K; Schmidt, R; Song, AW; Madden, DJ; Ropele, S; Liu, C
Association between increased magnetic susceptibility of deep gray matter nuclei and decreased motor function in healthy adults.
Neuroimage. 2015; 105(1): 45-52.
Doi: 10.1016/j.neuroimage.2014.10.009
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Li, W; Wu, B; Batrachenko, A; Bancroft-Wu, V; Morey, RA; Shashi, V; Langkammer, C; De Bellis, MD; Ropele, S; Song, AW; Liu, C
Differential developmental trajectories of magnetic susceptibility in human brain gray and white matter over the lifespan.
Hum Brain Mapp. 2014; 35(6):2698-2713
Doi: 10.1002/hbm.22360
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Langkammer, C; Liu, T; Khalil, M; Enzinger, C; Jehna, M; Fuchs, S; Fazekas, F; Wang, Y; Ropele, S
Quantitative susceptibility mapping in multiple sclerosis.
Radiology. 2013; 267(2):551-559
Doi: 10.1148/radiol.12120707
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Langkammer, C; Schweser, F; Krebs, N; Deistung, A; Goessler, W; Scheurer, E; Sommer, K; Reishofer, G; Yen, K; Fazekas, F; Ropele, S; Reichenbach, JR
Quantitative susceptibility mapping (QSM) as a means to measure brain iron? A post mortem validation study.
Neuroimage. 2012; 62(3):1593-1599
Doi: 10.1016/j.neuroimage.2012.05.049
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Ropele, S; de Graaf, W; Khalil, M; Wattjes, MP; Langkammer, C; Rocca, MA; Rovira, A; Palace, J; Barkhof, F; Filippi, M; Fazekas, F
MRI assessment of iron deposition in multiple sclerosis.
J Magn Reson Imaging. 2011; 34(1): 13-21.
Doi: 10.1002/jmri.22590
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von Lewinski, F; Werner, C; Jörn, T; Mohr, A; Sixel-Döring, F; Trenkwalder, C
T2*-weighted MRI in diagnosis of multiple system atrophy. A practical approach for clinicians.
J Neurol. 2007; 254(9):1184-1188
Doi: 10.1007/s00415-006-0496-1
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Szolar, DH; Saeed, M; Higgins, CB
Magnetic resonance tomography in myocardial ischemia: state of the art
Rofo. 1996; 165(3):216-226
Doi: 10.1055/s-2007-1015746
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