Researchers create new MRI brain extraction tool for neonates

In conclusion, we created an automatic deep learning-based neonatal brain extraction algorithm that demonstrates accurate performance with both high- and low-resolution MRIs with fast computation time," the authors stated. The authors cited their iterative semiautomated approach to ground truth brain mask generation as helpful for the efficiency and consistency of their deep-learning algorithm. In addition, the combination of using a multi-institutional training dataset from the HEAL trial and including variation in MRI manufacturer, model, software, and imaging parameters created a more generalizable model across different institutions, they wrote. The authors added that this combination will contribute to higher accuracy in neonatal skull stripping across various institutions in comparison to studies performed with a smaller and institution-specific dataset. Read the full study here.
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Clinical News MRI Advanced Visualization Source Type: news