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Index by author

September 01, 2019; Volume 40,Issue 9
  • A
  • B
  • C
  • D
  • E
  • F
  • G
  • H
  • I
  • J
  • K
  • L
  • M
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  • Q
  • R
  • S
  • T
  • U
  • V
  • W
  • X
  • Y
  • Z

  1. Abdalkader, M.

    1. Head & Neck
      You have access
      Subretinal and Retrolaminar Migration of Intraocular Silicone Oil Detected on CT
      M. Abdalkader, K. Takumi, M.N. Chapman, G.D. Barest, C. Peeler and O. Sakai
      American Journal of Neuroradiology September 2019, 40 (9) 1557-1561; DOI: https://doi.org/10.3174/ajnr.A6176
  2. Aertsen, M.

    1. Pediatrics
      Open Access
      Global and Regional Changes in Cortical Development Assessed by MRI in Fetuses with Isolated Nonsevere Ventriculomegaly Correlate with Neonatal Neurobehavior
      N. 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. Eixarch
      American Journal of Neuroradiology September 2019, 40 (9) 1567-1574; DOI: https://doi.org/10.3174/ajnr.A6165
  3. Ahn, C.

    1. FELLOWS' JOURNAL CLUBSpine
      You have access
      Quantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning Study
      B. Gaonkar, D. Villaroman, J. Beckett, C. Ahn, M. Attiah, D. Babayan, J.P. Villablanca, N. Salamon, A. Bui and L. Macyszyn
      American Journal of Neuroradiology September 2019, 40 (9) 1586-1591; DOI: https://doi.org/10.3174/ajnr.A6174
  4. Al-mufti, F.

    1. Interventional
      You have access
      Distal Transradial Access in the Anatomic Snuffbox for Diagnostic Cerebral Angiography
      P. Patel, N. Majmundar, I. Bach, V. Dodson, F. Al-Mufti, L. Tomycz and P. Khandelwal
      American Journal of Neuroradiology September 2019, 40 (9) 1526-1528; DOI: https://doi.org/10.3174/ajnr.A6178
  5. Aliotta, E.

    1. Adult Brain
      You have access
      Molecular Subtype Classification in Lower-Grade Glioma with Accelerated DTI
      E. Aliotta, H. Nourzadeh, P.P. Batchala, D. Schiff, M.B. Lopes, J.T. Druzgal, S. Mukherjee and S.H. Patel
      American Journal of Neuroradiology September 2019, 40 (9) 1458-1463; DOI: https://doi.org/10.3174/ajnr.A6162
  6. Alonso-solis, A.

    1. Adult Brain
      Open Access
      Widespread Increased Diffusivity Reveals Early Cortical Degeneration in Huntington Disease
      F. Sampedro, S. Martínez-Horta, J. Perez-Perez, A. Horta-Barba, J. Martin-Lahoz, A. Alonso-Solís, I. Corripio, B. Gomez-Anson and J. Kulisevsky
      American Journal of Neuroradiology September 2019, 40 (9) 1464-1468; DOI: https://doi.org/10.3174/ajnr.A6168
  7. Altermatt, A.

    1. FELLOWS' JOURNAL CLUBSpine
      Open Access
      Automatic Spinal Cord Gray Matter Quantification: A Novel Approach
      C. Tsagkas, A. Horvath, A. Altermatt, S. Pezold, M. Weigel, T. Haas, M. Amann, L. Kappos, T. Sprenger, O. Bieri, P. Cattin and K. Parmar
      American 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.

  8. Amann, M.

    1. FELLOWS' JOURNAL CLUBSpine
      Open Access
      Automatic Spinal Cord Gray Matter Quantification: A Novel Approach
      C. Tsagkas, A. Horvath, A. Altermatt, S. Pezold, M. Weigel, T. Haas, M. Amann, L. Kappos, T. Sprenger, O. Bieri, P. Cattin and K. Parmar
      American 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.

  9. Amorapanth, P.

    1. EDITOR'S CHOICEAdult Brain
      Open Access
      Altered Relationship between Working Memory and Brain Microstructure after Mild Traumatic Brain Injury
      S. 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. Lui
      American 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.

  10. Attiah, M.

    1. FELLOWS' JOURNAL CLUBSpine
      You have access
      Quantitative Analysis of Spinal Canal Areas in the Lumbar Spine: An Imaging Informatics and Machine Learning Study
      B. Gaonkar, D. Villaroman, J. Beckett, C. Ahn, M. Attiah, D. Babayan, J.P. Villablanca, N. Salamon, A. Bui and L. Macyszyn
      American Journal of Neuroradiology September 2019, 40 (9) 1586-1591; DOI: https://doi.org/10.3174/ajnr.A6174
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American Journal of Neuroradiology: 40 (9)
American Journal of Neuroradiology
Vol. 40, Issue 9
1 Sep 2019
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