Paper Info
Title
Incorporating statistical measures of anatomical variability in atlas-to-subject registration for conformal brain radiotherapy.
Abstract
Deforming a digital atlas towards a patient image allows the simultaneous segmentation of several structures. Such an intersubject registration is difficult as the deformations to recover are highly inhomogeneous. A priori information about the local amount of deformation to expect is precious, since it allows to optimally balance the quality of the matching versus the regularity of the deformation. However, intersubject variability makes it hard to heuristically estimate the degree of deformation. Indeed, the sizes and shapes of various structures differ greatly and their relative positions vary in a rather complex manner. In this article, we perform a statistical study of the deformations yielded by the registration of an image database with an anatomical atlas, and we propose methods to re-inject this information into the registration. We show that this provides more accurate segmentations of brain structures.
Year
DOI
Venue
2005
10.1007/11566489_114
MICCAI (2)
Keywords
Field
DocType
anatomical atlas,statistical measure,complex manner,local amount,accurate segmentation,digital atlas,atlas-to-subject registration,conformal brain radiotherapy,intersubject variability,image database,brain structure,anatomical variability,intersubject registration,patient image,tensors,statistics
Computer vision,Heuristic,Pattern recognition,Computer science,Segmentation,A priori and a posteriori,Conformal map,Atlas (anatomy),Artificial intelligence,Image database
Conference
Volume
Issue
ISSN
8
Pt 2
0302-9743
ISBN
Citations 
PageRank 
3-540-29326-4
16
1.74
References 
Authors
7
7
Name
Order
Citations
PageRank
Olivier Commowick150539.81
R Stefanescu215512.21
P Fillard3123875.70
Vincent Arsigny473350.69
Nicholas Ayache5108041654.36
Xavier Pennec65021357.08
Grégoire Malandain71989224.11