Paper Info
Title
Atlas-based segmentation of pathological MR brain images using a model of lesion growth.
Abstract
We propose a method for brain atlas deformation in the presence of large space-occupying tumors, based on an a priori model of lesion growth that assumes radial expansion of the lesion from its starting point. Our approach involves three steps. First, an affine registration brings the atlas and the patient into global correspondence. Then, the seeding of a synthetic tumor into the brain atlas provides a template for the lesion. The last step is the deformation of the seeded atlas, combining a method derived from optical flow principles and a model of lesion growth. Results show that a good registration is performed and that the method can be applied to automatic segmentation of structures and substructures in brains with gross deformation, with important medical applica- tions in neurosurgery, radiosurgery, and radiotherapy. Index Terms—Atlases, magnetic resonance (MR) imaging, pathological brains, registration, segmentation.
Year
DOI
Venue
2004
10.1109/TMI.2004.834618
IEEE Trans. Med. Imaging
Keywords
Field
DocType
atlas,image registration,magnetic resonance,biomechanics,optical flow,segmentation,indexing terms,abs,brain imaging,deformation
Affine transformation,Computer vision,Brain atlas,Lesion,Computer science,Segmentation,Radiosurgery,Atlas (anatomy),Artificial intelligence,Optical flow,Image registration
Journal
Volume
Issue
ISSN
23
10
0278-0062
Citations 
PageRank 
References 
45
2.87
9
Authors
6
Name
Order
Citations
PageRank
Meritxell Bach Cuadra132623.59
Claudio Pollo21289.88
Anton Bardera314112.22
Olivier Cuisenaire425020.27
Jean-guy Villemure5806.22
Jean-Philippe Thiran62320257.56