Title
Spatial Consistency in 3D Tract-Based Clustering Statistics
Abstract
We propose a novel technique for tract-based comparison of DTI-indices between groups, based on a representation that is estimated while matching fiber tracts. The method involves a non-rigid registration based on a joint clustering and matching approach, after which a 3D-atlas of cluster center points is used as a frame of reference for statistics. Patient and control FA-distributions are compared per cluster. Spatial consistency is taken to reflect a significant difference between groups. Accordingly, a non-parametric classification is performed to assess the continuity of pathology over larger tract regions. In a study to infant survivors treated for medulloblastoma with intravenous methotrexate and cranial radiotherapy, significant decreases in FA in major parts of the corpus callosum were found.
Year
DOI
Venue
2008
10.1007/978-3-540-85988-8_64
MICCAI
Keywords
Field
DocType
frame of reference
Pattern recognition,Fractional anisotropy,Computer science,Artificial intelligence,Cluster analysis,Statistics,Corpus callosum,Spatial consistency
Conference
Volume
Issue
ISSN
11
Pt 1
0302-9743
Citations 
PageRank 
References 
2
0.39
9
Authors
6
Name
Order
Citations
PageRank
Matthan Caan1202.77
Lucas J. van Vliet2842113.16
Charles B. L. M. Majoie320.39
Eline Aukema420.39
Kees Grimbergen521.07
Frans Vos610611.97