公开(公告)号：US20220139530A1

公开(公告)日：2022-05-05

申请号：US17594234

申请日：2020-04-21

申请人： BlackThorn Therapeutics, Inc.

发明人： Matthew KOLLADA ,  Humberto Andres GONZALEZ CABEZAS ,  Yuelu LIU ,  Monika Sharma MELLEM ,  Parvez AHAMMAD ,  Qingzhu GAO

IPC分类号： G16H30/20

摘要： The present disclosure provides systems and methods for automating the QC of MRI scans. Particularly, the inventors trained machine learning classifiers using features derived from brain MR images and associated processing to predict the quality of those images, which is based on the ground truth of an expert's opinion. In one example, classifiers that utilized features derived from preprocessing log files (textual files output during MRI preprocessing) were particularly accurate and demonstrated an ability to be generalized to new datasets, which allows the disclosed technology to be scalable to new datasets and MRI preprocessing pipelines.