Keywords: Software Tools, Software Tools
Motivation: Imaging biomarkers are becoming a cornerstone to increase throughput and efficiency of large clinical trials. However, the diversity of imaging modalities used to derive them creates complexity for both imaging protocols and image archiving systems.
Goal(s): To develop a tool to automatically classify imaging modalities and assess their adherence to the predefined acquisition protocol.
Approach: The combination of a few-shot learning classifier trained to classify image modalities according to their contrast characteristics and a deterministic heuristic approach based on the DICOM headers.
Results: The proposed approach displays potential for automatic online image classification and identification of protocol deviations, increasing clinical trial operational efficiency.
Impact: The proposed joint approach automatically classifies all medical imaging data and assesses its adherence to the predefined acquisition protocol. Consequently, it not only facilitates data management but also identifies protocol deviations increasing the operational efficiency of clinical trials.
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