Index by author
Abdalkader, M.
- Head & NeckYou have accessSubretinal and Retrolaminar Migration of Intraocular Silicone Oil Detected on CTM. Abdalkader, K. Takumi, M.N. Chapman, G.D. Barest, C. Peeler and O. SakaiAmerican Journal of Neuroradiology September 2019, 40 (9) 1557-1561; DOI: https://doi.org/10.3174/ajnr.A6176
Aertsen, M.
- PediatricsOpen AccessGlobal and Regional Changes in Cortical Development Assessed by MRI in Fetuses with Isolated Nonsevere Ventriculomegaly Correlate with Neonatal NeurobehaviorN. Hahner, O.M. Benkarim, M. Aertsen, M. Perez-Cruz, G. Piella, G. Sanroma, N. Bargallo, J. Deprest, M.A. Gonzalez Ballester, E. Gratacos and E. EixarchAmerican Journal of Neuroradiology September 2019, 40 (9) 1567-1574; DOI: https://doi.org/10.3174/ajnr.A6165
Ahn, C.
- FELLOWS' JOURNAL CLUBSpineYou have accessQuantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning StudyB. Gaonkar, D. Villaroman, J. Beckett, C. Ahn, M. Attiah, D. Babayan, J.P. Villablanca, N. Salamon, A. Bui and L. MacyszynAmerican Journal of Neuroradiology September 2019, 40 (9) 1586-1591; DOI: https://doi.org/10.3174/ajnr.A6174
Al-mufti, F.
- InterventionalYou have accessDistal Transradial Access in the Anatomic Snuffbox for Diagnostic Cerebral AngiographyP. Patel, N. Majmundar, I. Bach, V. Dodson, F. Al-Mufti, L. Tomycz and P. KhandelwalAmerican Journal of Neuroradiology September 2019, 40 (9) 1526-1528; DOI: https://doi.org/10.3174/ajnr.A6178
Aliotta, E.
- Adult BrainYou have accessMolecular Subtype Classification in Lower-Grade Glioma with Accelerated DTIE. Aliotta, H. Nourzadeh, P.P. Batchala, D. Schiff, M.B. Lopes, J.T. Druzgal, S. Mukherjee and S.H. PatelAmerican Journal of Neuroradiology September 2019, 40 (9) 1458-1463; DOI: https://doi.org/10.3174/ajnr.A6162
Alonso-solis, A.
- Adult BrainOpen AccessWidespread Increased Diffusivity Reveals Early Cortical Degeneration in Huntington DiseaseF. Sampedro, S. Martínez-Horta, J. Perez-Perez, A. Horta-Barba, J. Martin-Lahoz, A. Alonso-Solís, I. Corripio, B. Gomez-Anson and J. KulisevskyAmerican Journal of Neuroradiology September 2019, 40 (9) 1464-1468; DOI: https://doi.org/10.3174/ajnr.A6168
Altermatt, A.
- FELLOWS' JOURNAL CLUBSpineOpen AccessAutomatic Spinal Cord Gray Matter Quantification: A Novel ApproachC. Tsagkas, A. Horvath, A. Altermatt, S. Pezold, M. Weigel, T. Haas, M. Amann, L. Kappos, T. Sprenger, O. Bieri, P. Cattin and K. ParmarAmerican Journal of Neuroradiology September 2019, 40 (9) 1592-1600; DOI: https://doi.org/10.3174/ajnr.A6157
The authors assessed the reproducibility and accuracy of cervical spinal cord gray matter and white matter cross-sectional area measurements using magnetization inversion recovery acquisition images and a fully automatic postprocessing segmentation algorithm. The cervical spinal cord of 24 healthy subjects was scanned in a test-retest fashion on a 3T MR imaging system. Twelve axial averaged magnetization inversion recovery acquisition slices were acquired over a 48-mm cord segment. GM and WM were both manually segmented by 2 experienced readers and compared with an automatic variational segmentation algorithm with a shape prior modified for 3D data with a slice similarity prior. Reproducibility was high for both methods, while being better for the automatic approach. The accuracy of the automatic method compared with the manual reference standard was excellent. They conclude that the fully automated postprocessing segmentation algorithm demonstrated an accurate and reproducible spinal cord GM and WM segmentation.
Amann, M.
- FELLOWS' JOURNAL CLUBSpineOpen AccessAutomatic Spinal Cord Gray Matter Quantification: A Novel ApproachC. Tsagkas, A. Horvath, A. Altermatt, S. Pezold, M. Weigel, T. Haas, M. Amann, L. Kappos, T. Sprenger, O. Bieri, P. Cattin and K. ParmarAmerican Journal of Neuroradiology September 2019, 40 (9) 1592-1600; DOI: https://doi.org/10.3174/ajnr.A6157
The authors assessed the reproducibility and accuracy of cervical spinal cord gray matter and white matter cross-sectional area measurements using magnetization inversion recovery acquisition images and a fully automatic postprocessing segmentation algorithm. The cervical spinal cord of 24 healthy subjects was scanned in a test-retest fashion on a 3T MR imaging system. Twelve axial averaged magnetization inversion recovery acquisition slices were acquired over a 48-mm cord segment. GM and WM were both manually segmented by 2 experienced readers and compared with an automatic variational segmentation algorithm with a shape prior modified for 3D data with a slice similarity prior. Reproducibility was high for both methods, while being better for the automatic approach. The accuracy of the automatic method compared with the manual reference standard was excellent. They conclude that the fully automated postprocessing segmentation algorithm demonstrated an accurate and reproducible spinal cord GM and WM segmentation.
Amorapanth, P.
- EDITOR'S CHOICEAdult BrainOpen AccessAltered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain InjuryS. Chung, X. Wang, E. Fieremans, J.F. Rath, P. Amorapanth, F.-Y.A. Foo, C.J. Morton, D.S. Novikov, S.R. Flanagan and Y.W. LuiAmerican Journal of Neuroradiology September 2019, 40 (9) 1438-1444; DOI: https://doi.org/10.3174/ajnr.A6146
The authors investigated how working memory deficits relate to detectable WM microstructural injuries to discover robust biomarkers that allow early identification of patients with mild traumatic brain injury at the highest risk of working memory impairment. Multi-shell diffusion MR imaging was performed on a 3T scanner with 5 b-values. Diffusion metrics of fractional anisotropy, diffusivity and kurtosis (mean, radial, axial), and WM tract integrity were calculated. Auditory-verbal working memory was assessed using the Wechsler Adult Intelligence Scale. ROI analysis found a significant positive correlation between axial kurtosis and Digit Span Backward in mild traumatic brain injury mainly present in the right superior longitudinal fasciculus, which was not observed in healthy controls.
Attiah, M.
- FELLOWS' JOURNAL CLUBSpineYou have accessQuantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning StudyB. Gaonkar, D. Villaroman, J. Beckett, C. Ahn, M. Attiah, D. Babayan, J.P. Villablanca, N. Salamon, A. Bui and L. MacyszynAmerican Journal of Neuroradiology September 2019, 40 (9) 1586-1591; DOI: https://doi.org/10.3174/ajnr.A6174