Automated probabilistic reconstruction of white-matter pathways in health and disease using an atlas of the underlying anatomy.
We have developed a method for automated probabilistic reconstruction of a set of major white-matter pathways from diffusion-weighted MR images. Our method is called TRACULA (TRActs Constrained by UnderLying Anatomy) and utilizes prior information on the anatomy of the pathways from a set of training subjects. By incorporating this prior knowledge in the reconstruction procedure, our method obviates the need for manual interaction with the tract solutions at a later stage and thus facilitates the application of tractography to large studies. In this paper we illustrate the application of the method on data from a schizophrenia study and investigate whether the inclusion of both patients and healthy subjects in the training set affects our ability to reconstruct the pathways reliably. We show that, since our method does not constrain the exact spatial location or shape of the pathways but only their trajectory relative to the surrounding anatomical structures, a set a of healthy training subjects can be used to reconstruct the pathways accurately in patients as well as in controls.
Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School Boston, MA, USA.
Anastasia
A
Yendiki
Patricia
P
Panneck
Priti
P
Srinivasan
Allison
A
Stevens
Lilla
L
Zöllei
Jean
J
Augustinack
Ruopeng
R
Wang
David
D
Salat
Stefan
S
Ehrlich
Tim
T
Behrens
Saad
S
Jbabdi
Randy
R
Gollub
Bruce
B
Fischl