Title
Alignment of Tractography Streamlines Using Deformation Transfer via Parallel Transport
Abstract
We present a geometric framework for aligning white matter fiber tracts. By registering fiber tracts between brains, one expects to see overlap of anatomical structures that often provide meaningful comparisons across subjects. However, the geometry of white matter tracts is highly heterogeneous, and finding direct tract-correspondence across multiple individuals remains a challenging problem. We present a novel deformation metric between tracts that allows one to compare tracts while simultaneously obtaining a registration. To accomplish this, fiber tracts are represented by an intrinsic mean along with the deformation fields represented by tangent vectors from the mean. In this setting, one can determine a parallel transport between tracts and then register corresponding tangent vectors. We present the results of bundle alignment on a population of 43 healthy adult subjects.
Year
DOI
Venue
2021
10.1007/978-3-030-87615-9_9
COMPUTATIONAL DIFFUSION MRI, CDMRI 2021
DocType
Volume
ISSN
Conference
13006
0302-9743
Citations 
PageRank 
References 
0
0.34
0
Authors
7
Name
Order
Citations
PageRank
Andrew Lizarraga100.68
David Lee29312.70
Antoni Kubicki300.68
Ashish Sahib400.34
Elvis Nunez501.01
Katherine Narr600.34
Shantanu H. Joshi722.78