Efficient, graph-based white matter connectivity from orientation distribution functions via multi-directional graph propagation

Alexis Boucharin; Ipek Oguz; Clement Vachet; Yundi Shi; Mar Sanchez; Martin Styner

doi:10.1117/12.878291

11 March 2011 Efficient, graph-based white matter connectivity from orientation distribution functions via multi-directional graph propagation

Alexis Boucharin, Ipek Oguz, Clement Vachet, Yundi Shi, Mar Sanchez, Martin Styner

Author Affiliations +

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79620S (2011) https://doi.org/10.1117/12.878291
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

The use of regional connectivity measurements derived from diffusion imaging datasets has become of considerable interest in the neuroimaging community in order to better understand cortical and subcortical white matter connectivity. Current connectivity assessment methods are based on streamline fiber tractography, usually applied in a Monte-Carlo fashion. In this work we present a novel, graph-based method that performs a fully deterministic, efficient and stable connectivity computation. The method handles crossing fibers and deals well with multiple seed regions. The computation is based on a multi-directional graph propagation method applied to sampled orientation distribution function (ODF), which can be computed directly from the original diffusion imaging data. We show early results of our method on synthetic and real datasets. The results illustrate the potential of our method towards subjectspecific connectivity measurements that are performed in an efficient, stable and reproducible manner. Such individual connectivity measurements would be well suited for application in population studies of neuropathology, such as Autism, Huntington's Disease, Multiple Sclerosis or leukodystrophies. The proposed method is generic and could easily be applied to non-diffusion data as long as local directional data can be derived.

Citation Download Citation

Alexis Boucharin, Ipek Oguz, Clement Vachet, Yundi Shi, Mar Sanchez, and Martin Styner "Efficient, graph-based white matter connectivity from orientation distribution functions via multi-directional graph propagation", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79620S (11 March 2011); https://doi.org/10.1117/12.878291

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available