Index by author
Hou, Lin
- Neuroimaging Physics/Functional Neuroimaging/CT and MRI TechnologyYou have accessVisualizing the Habenula Using 3T High-Resolution MP2RAGE and QSM: A Preliminary StudyBingYang Bian, Lin Hou, YaTing Chai, YueLuan Jiang, XingChen Pan, Yang Sun, HongChao Wang, DongDong Qiu, ZeChen Yu, Hua Zhao, HuiMao Zhang, FanYang Meng and Lei ZhangAmerican Journal of Neuroradiology April 2024, 45 (4) 504-510; DOI: https://doi.org/10.3174/ajnr.A8156
Huang, Benjamin Y.
- EDITOR'S CHOICEHead and Neck ImagingYou have accessDoes CISS MRI Reliably Depict the Endolymphatic Duct in Children with and without Vestibular Aqueduct Enlargement?Olutayo I. Olubiyi, Nicholas Thompson, Thad Benefield, Kassie L. McCullagh and Benjamin Y. HuangAmerican Journal of Neuroradiology April 2024, 45 (4) 511-517; DOI: https://doi.org/10.3174/ajnr.A8158
In this retrospective review of temporal bone high-resolution CT and CISS MR imaging of 98 hearing-impaired children, the authors found that the CISS MR imaging technique commonly used for inner ear evaluation performs poorly overall at resolving the endolymphatic duct and underdiagnoses enlarged vestibular aqueduct. If the endolymphatic duct is easily seen on CISS imaging, there is a .99% probability that the vestibular aqueduct is enlarged.
Huang, Susie Y.
- EDITOR'S CHOICEEmergency NeuroradiologyYou have accessClinical Evaluation of a 2-Minute Ultrafast Brain MR Protocol for Evaluation of Acute Pathology in the Emergency and Inpatient SettingsMin Lang, Bryan Clifford, Wei-Ching Lo, Brooks P. Applewhite, Azadeh Tabari, Augusto Lio M. Goncalves Filho, Zahra Hosseini, Maria Gabriela Figueiro Longo, Stephen F. Cauley, Kawin Setsompop, Berkin Bilgic, Thorsten Feiweier, Michael H. Lev, Pamela W. Schaefer, Otto Rapalino, Susie Y. Huang and John ConklinAmerican Journal of Neuroradiology April 2024, 45 (4) 379-385; DOI: https://doi.org/10.3174/ajnr.A8143
Ultrafast MR imaging (2.1 minutes) reconstructed with machine-learning assisted framework demonstrated significant reduction in motion artifacts and 98.5% agreement with the reference MR protocol (10 minutes) on the main clinical diagnosis, though there were greater image noise and geometric distortion on the ultrafast protocol.
Hugdal, Stephen M.
- EDITOR'S CHOICENeurovascular/Stroke ImagingYou have accessA Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke OutcomesYongkai Liu, Preya Shah, Yannan Yu, Jai Horsey, Jiahong Ouyang, Bin Jiang, Guang Yang, Jeremy J. Heit, Margy E. McCullough-Hicks, Stephen M. Hugdal, Max Wintermark, Patrik Michel, David S. Liebeskind, Maarten G. Lansberg, Gregory W. Albers and Greg ZaharchukAmerican Journal of Neuroradiology April 2024, 45 (4) 406-411; DOI: https://doi.org/10.3174/ajnr.A8140
The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.
Huisman, Thierry A.G.M.
- Pediatric NeuroimagingYou have accessPrognostic Significance of Central Skull Base Remodeling in Chiari II MalformationJohn T. Freiling, Nilesh K. Desai, Stephen F. Kralik, William E. Whitehead and Thierry A.G.M. HuismanAmerican Journal of Neuroradiology April 2024, 45 (4) 488-493; DOI: https://doi.org/10.3174/ajnr.A8142