Index by author
Sakai, C.
- NeurointerventionYou have accessQuantitative Analysis of Conebeam CT for Delineating Stents in Stent-Assisted Coil EmbolizationT. Kuriyama, N. Sakai, M. Beppu, C. Sakai, H. Imamura, K. Masago, N. Katakami and H. IsodaAmerican Journal of Neuroradiology March 2018, 39 (3) 488-493; DOI: https://doi.org/10.3174/ajnr.A5533
Sakai, K.
- Adult BrainOpen AccessOptimization of DARTEL Settings for the Detection of Alzheimer DiseaseJ. Komatsu, I. Matsunari, M. Samuraki, K. Shima, M. Noguchi-Shinohara, K. Sakai, T. Hamaguchi, K. Ono, H. Matsuda and M. YamadaAmerican Journal of Neuroradiology March 2018, 39 (3) 473-478; DOI: https://doi.org/10.3174/ajnr.A5509
Sakai, N.
- NeurointerventionYou have accessQuantitative Analysis of Conebeam CT for Delineating Stents in Stent-Assisted Coil EmbolizationT. Kuriyama, N. Sakai, M. Beppu, C. Sakai, H. Imamura, K. Masago, N. Katakami and H. IsodaAmerican Journal of Neuroradiology March 2018, 39 (3) 488-493; DOI: https://doi.org/10.3174/ajnr.A5533
Sakai, O.
- Head and Neck ImagingYou have accessComparison of MR Imaging and Dual-Energy CT for the Evaluation of Cartilage Invasion by Laryngeal and Hypopharyngeal Squamous Cell CarcinomaH. Kuno, K. Sakamaki, S. Fujii, K. Sekiya, K. Otani, R. Hayashi, T. Yamanaka, O. Sakai and M. KusumotoAmerican Journal of Neuroradiology March 2018, 39 (3) 524-531; DOI: https://doi.org/10.3174/ajnr.A5530
Sakamaki, K.
- Head and Neck ImagingYou have accessComparison of MR Imaging and Dual-Energy CT for the Evaluation of Cartilage Invasion by Laryngeal and Hypopharyngeal Squamous Cell CarcinomaH. Kuno, K. Sakamaki, S. Fujii, K. Sekiya, K. Otani, R. Hayashi, T. Yamanaka, O. Sakai and M. KusumotoAmerican Journal of Neuroradiology March 2018, 39 (3) 524-531; DOI: https://doi.org/10.3174/ajnr.A5530
Salamon, N.
- NeurointerventionYou have accessNonsphericity Index and Size Ratio Identify Morphologic Differences between Growing and Stable Aneurysms in a Longitudinal Study of 93 CasesA. Chien, M. Xu, H. Yokota, F. Scalzo, E. Morimoto and N. SalamonAmerican Journal of Neuroradiology March 2018, 39 (3) 500-506; DOI: https://doi.org/10.3174/ajnr.A5531
Samanamud, J.
- FunctionalOpen AccessLocal Glioma Cells Are Associated with Vascular DysregulationS.G. Bowden, B.J.A. Gill, Z.K. Englander, C.I. Horenstein, G. Zanazzi, P.D. Chang, J. Samanamud, A. Lignelli, J.N. Bruce, P. Canoll and J. GrinbandAmerican Journal of Neuroradiology March 2018, 39 (3) 507-514; DOI: https://doi.org/10.3174/ajnr.A5526
Samuraki, M.
- Adult BrainOpen AccessOptimization of DARTEL Settings for the Detection of Alzheimer DiseaseJ. Komatsu, I. Matsunari, M. Samuraki, K. Shima, M. Noguchi-Shinohara, K. Sakai, T. Hamaguchi, K. Ono, H. Matsuda and M. YamadaAmerican Journal of Neuroradiology March 2018, 39 (3) 473-478; DOI: https://doi.org/10.3174/ajnr.A5509
Sati, P.
- Adult BrainOpen AccessImproved Visualization of Cortical Lesions in Multiple Sclerosis Using 7T MP2RAGEE.S. Beck, P. Sati, V. Sethi, T. Kober, B. Dewey, P. Bhargava, G. Nair, I.C. Cortese and D.S. ReichAmerican Journal of Neuroradiology March 2018, 39 (3) 459-466; DOI: https://doi.org/10.3174/ajnr.A5534
Sayadi, A.
- EDITOR'S CHOICEAdult BrainYou have accessAccuracy of the Compressed Sensing Accelerated 3D-FLAIR Sequence for the Detection of MS Plaques at 3TS. Toledano-Massiah, A. Sayadi, R. de Boer, J. Gelderblom, R. Mahdjoub, S. Gerber, M. Zuber, M. Zins and J. HodelAmerican Journal of Neuroradiology March 2018, 39 (3) 454-458; DOI: https://doi.org/10.3174/ajnr.A5517
Twenty-three patients with relapsing-remitting MS underwent both conventional 3D-FLAIR and compressed sensing 3D-FLAIR on a 3T scanner (reduction in scan time 1 minute 25 seconds, 27%; compressed sensing factor of 1.3). Two blinded readers independently evaluated both conventional and compressed sensing FLAIR for image quality and the number of MS lesions visible in the periventricular, intra-juxtacortical, infratentorial, and optic nerve regions. Image quality and the number of MS lesions detected by the readers were similar between the 2 FLAIR acquisitions. Almost perfect agreement was found between the two FLAIR acquisitions for total MS lesion count. The authors conclude that at 3T, and with a compressed sensing factor of 1.3, 3D-FLAIR is 27% faster and preserves diagnostic performance for the detection of MS plaques.