- MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images
In this study, the authors developed automated motion correction and used deep learning to generate pseudo-CT cranial images from MR images. Compared with CT, pseudo-CT had 100% specificity and 100% sensitivity for suture closure and 100% specificity and 90% sensitivity for skull fractures.
- Radiologic Classification of Hippocampal Sclerosis in Epilepsy
This review explores how the International League Against Epilepsy (ILAE) subtypes of hippocampal sclerosis correlate with MRI findings. Hippocampal anatomy is reviewed in detail. The pathophysiology of hippocampal sclerosis is discussed. A radiologic classification scheme is proposed that aligns with the ILAE pathology classification, aiming to improve clinical communication and decision-making.
Welcome to the new AJNR, Updated Hall of Fame, and more. Read the full announcements.
AJNR is seeking candidates for the position of Associate Section Editor, AJNR Case Collection. Read the full announcement.