Anatomical fiducials (AFIDs) is an open framework for evaluating correspondence in brain images and teaching neuroanatomy using anatomical fiducial placement. Here you'll find a web application that allows you to upload an FCSV file generated using the AFIDs protocol, and validate that it conforms to the protocol.
What is AFIDs?¶
Accurate spatial correspondence between template and subject images is a crucial step in neuroimaging studies and clinical applications like stereotactic neurosurgery. In the absence of a robust quantitative approach, we sought to propose and vali- date a set of point landmarks, anatomical fiducials (AFIDs), that could be quickly, accurately, and reliably placed on magnetic resonance images of the human brain. Using several publicly available brain templates and individual participant datasets, novice users could be trained to place a set of 32 AFIDs with millimetric accuracy. Furthermore, the utility of the AFIDs protocol is demonstrated for evaluating subject-to-template and template-to-template registration. Specifically, we found that commonly used voxel overlap metrics were relatively insensitive to focal mis- registrations compared to AFID point-based measures. Our entire protocol and study framework leverages open resources and tools, and has been developed with full transparency in mind so that others may freely use, adopt, and modify. This pro- tocol holds value for a broad number of applications including alignment of brain images and teaching neuroanatomy.
Ready to get started?¶
If you are ready to get started with AFIDs, navigate to the AFIDs protocol and choose which type of species you would like to work with.
The AFIDs Validator¶
Once you have completed the placement of AFIDs, you are able to validate your accuracy by uploading the
.fcsv file to the AFIDs validator website.