In this work, we demonstrate that Monte-Carlo simulations combined with fingerprint approaches can be used to develop decoding tools of the micro-structure using a dictionary learning approach. The validation has been done on a test object mimicking the mid-sagittal plane of a corpus callosum with axon diameters varying according to histological studies. The robustness of the decoding obviously depends on the richness of the dictionary, but, contrary to analytical approaches with highly non linear equations hard to fit practically, such MC approach do not have this kind of limitation, thus opening the way to decode more complex tissue cellular configurations.
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