Paper Info
Title
Segmentation of brain structures in presence of a space-occupying lesion.
Abstract
Brain deformations induced by space-occupying lesions may result in unpredictable position and shape of functionally important brain structures. The aim of this study is to propose a method for segmentation of brain structures by deformation of a segmented brain atlas in presence of a space-occupying lesion. Our approach is based on an a priori model of lesion growth (MLG) that assumes radial expansion from a seeding point and involves three steps: first, an affine registration bringing the atlas and the patient into global correspondence; then, the seeding of a synthetic tumor into the brain atlas providing a template for the lesion; finally, the deformation of the seeded atlas, combining a method derived from optical flow principles and a model of lesion growth. The method was applied on two meningiomas inducing a pure displacement of the underlying brain structures, and segmentation accuracy of ventricles and basal ganglia was assessed. Results show that the segmented structures were consistent with the patient's anatomy and that the deformation accuracy of surrounding brain structures was highly dependent on the accurate placement of the tumor seeding point. Further improvements of the method will optimize the segmentation accuracy. Visualization of brain structures provides useful information for therapeutic consideration of space-occupying lesions, including surgical, radiosurgical, and radiotherapeutic planning, in order to increase treatment efficiency and prevent neurological damage.
Year
DOI
Venue
2005
10.1016/j.neuroimage.2004.10.004
NeuroImage
Keywords
DocType
Volume
Space-occupying lesions,Neurological damage,Atlas-based MR segmentation algorithms
Journal
24
Issue
ISSN
Citations 
4
1053-8119
9
PageRank 
References 
Authors
0.69
9
5
Name
Order
Citations
PageRank
Claudio Pollo11289.88
Meritxell Bach Cuadra232623.59
Olivier Cuisenaire325020.27
Jean-guy Villemure4806.22
Jean-Philippe Thiran52320257.56