ODF Fingerprinting

ODF Fingerprinting

Author: Steven Baete, PhD


Diffusion tractography is routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct identification of tract directions in each voxel. Here we present a fingerprinting-based methodology to identify these fiber directions in Orientation Distribution Functions, dubbed ODF-Fingerprinting (ODF-FP). In ODF-FP, fiber configurations are selected based on the similarity between measured ODFs and elements in a pre-computed library. In noisy ODFs, the library matching algorithm penalizes the more complex fiber configurations.

The ODF-FP approach improves the detection of fiber pairs with small crossing angles while maintaining fiber direction precision, which leads to better tractography results. Rather than focusing on the ODF maxima, the ODF-FP approach uses the whole ODF shape to infer fiber directions to improve the detection of fiber bundles with small crossing angle. The resulting fiber directions aid tractography algorithms in accurately displaying neuronal tracts and calculating brain connectivity.

Get the code
via Bitbucket

ODF Fingerprinting: For each orientation distribution function (ODF) of which the directions are to be determined, the proposed method searches the pre-constructed ODF library for the best match. Once the match is identified, the ODF's directions can be pulled from the library.

Related Publication

Fingerprinting Orientation Distribution Functions in Diffusion MRI detects smaller crossing angles.
Accepted for publication in NeuroImage, 2019.
Baete, Cloos, Lin, Placantonakis, Shepherd, Boada.


Latest Updates

01/06/2021 - 13:33
12/14/2020 - 09:56

Philanthropic Support

We gratefully acknowledge generous support for radiology research at NYU Langone Health from:
• The Big George Foundation
• Bernard and Irene Schwartz

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