Abstract #3541

Bias Field Correction and Intensity Normalisation for Quantitative Analysis of Apparent Fibre Density

David Raffelt¹, Thijs Dhollander¹, J-Donald Tournier², Rami Tabbara¹, Robert E Smith¹, Eric Pierre¹, and Alan Connelly¹

¹Florey Institute of Neuroscience, Melbourne, Australia, ²Centre for the Developing Brain, Division of Imaging Sciences and Biomedical Engineering, Kings College London, London, United Kingdom

Apparent Fibre Density (AFD) is a measure derived from un-normalised fibre orientation distributions. To make AFD quantitative across subjects, images need to be intensity normalised and bias field corrected. Here we present a fast and robust approach to simultaneous bias field correction and intensity normalisation by exploiting tissue compartment maps derived from multi-tissue constrained spherical deconvolution. We performed simulations to show that the method can accurately recover a ground truth bias field, while also demonstrating qualitative results on in vivo data.

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.

Click here for more information on becoming a member.