Meeting Banner
Abstract #0734

Validation of diffusion MRI models and tractography algorithms using chemical tracing

Giorgia Grisot1,2, Suzanne N. Haber3,4, and Anastasia Yendiki2

1Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, 2Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, United States, 3University of Rochester School of Medicine, Rochester, NY, United States, 4McLean Hospital, Belmont, MA, United States

Brain circuitry is still poorly understood, posing a challenge to the validation of diffusion MRI (dMRI) tractography. Many aspects of tractography algorithms, such as their choice of diffusion model or deterministic vs. probabilistic approach, can impact on their performance. Therefore, beyond a qualitative validation, we need quantitative metrics for comparing and optimizing these algorithms. In this work we perform a systematic evaluation of different diffusion models and tractography algorithms by assessing their accuracy with respect to chemical tracing in macaques. We find that the combination of probabilistic tractography and GQI/DSI model yields the best results, and that accuracy does not always improve with higher angular resolution.

This abstract and the presentation materials are available to members only; a login is required.

Join Here