Atlas-based segmentation of pathological brain MR images

Author

Cuadra, M. Bach ; Polio, C. ; Bardera, A. ; Cuisenaire, O. ; Villemure, J.G. ; Thiran, J.-Ph.

Author_Institution

Signal Process. Inst., Swiss Fed. Inst. of Technol., Lausanne, Switzerland

Volume

1

fYear

2003

fDate

14-17 Sept. 2003

Abstract

A method for brain atlas deformation in 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 is proposed. 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. Finally, the seeded atlas is deformed, combining a method derived from optical flow principles and a model of lesion growth (MLG). Results show that the method can be applied to the automatic segmentation of structures and substructures in brains with gross deformation, with important medical applications in neurosurgery, radiosurgery and radiotherapy.

Keywords

biomedical MRI; image segmentation; image sequences; medical image processing; tumours; affine registration; atlas-based segmentation; lesion growth priori model; optical flow principles; pathological brain MR images; space-occupying tumors; Biomedical equipment; Biomedical optical imaging; Brain modeling; Deformable models; Image motion analysis; Image segmentation; Lesions; Medical services; Neoplasms; Pathology;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7750-8

Type

conf

DOI

10.1109/ICIP.2003.1247026

Filename

1247026