Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
We describe a method for the automatic quality assessment of multi-slice 2D MRIs with FLAIR, T2, or PD contrast. Quality measures are derived by analyzing the air background, which can be used to sensitively detect typical motion artifacts. Validated on 422 brain datasets, quality indices agree with expert ratings with high sensitivity and specificity (>85%). This technique can greatly improve clinical workflow, suggesting when to repeat low-quality scans, thus increasing chances for higher diagnosis accuracy.