Advances in MR acceleration techniques have produced a paradigm shift in MR productivity. In addition, the integration of artificial intelligence offers even more promise to integrate MR workflow and accelerate image acquisition. Recognizing the absence of operator assisted technologies we created VitaLenz, a convolutional neural network, to test the ability of artificial intelligence in detecting common MR imaging artifacts. VitaLenz was able to identify common MR image artifacts with high sensitivity, accuracy, and speed. Creation and use of this type of assistive technology can help ensure image quality and can also lead to faster clinical adoption of newer imaging techniques.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords