Atlas-Based Segmentation of Pathological Brains Using a Model of Tumor Growth
We propose a method for brain atlas deformation in presence of large space-occupying tumors or lesions, based on an a priori model of lesion growth that assumes radial expansion of the lesion from its central point. Atlas-based methods have been of limited use for segmenting brains that have been drastically altered by the presence of large space-occupying lesions. Our approach involves four steps. First, an affine registration brings the atlas and the patient into global correspondence. Secondly, a local registration warps the atlas onto the patient volume. 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 method can be applied to automatic segmentation of structures and substructures in brains with gross deformation, with important medical applications in neurosurgery, radiosurgery and radiotherapy.
Unable to display preview. Download preview PDF.
- 1.Dawant, B.M., Hartmann, S.L., Gadamsetty, S.: Brain Atlas Deformation in the Presence of Large Space-occupying Tumors. In: MICCAI. (1999) 589–596Google Scholar
- 2.Kikinis, R., et al.: A digital brain atlas for surgical planning, model driven segmentation and teaching. IEEE Transactions on Visualization and Computer Graphics 2 (1996) http://splweb.bwh.harvard.edu:8000.
- 4.Bach, M., et al: Atlas-based Segmentation of Pathological Brains using a Model of Tumor Growth. Technical report, ITS-EPFL (2002) http://ltswww.epflch/~brain/publications/meri/techreports/report.ps.gz.
- 5.Cuisenaire, O., Thiran, J.P., Macq, B., Michel, C., Volder, A.D., Marques, F.: Automatic Registration of 3D MR images with a Computerized Brain Atlas. In: SPIE Medical Imaging. Volume 1719. (1996) 438–449Google Scholar
- 6.Thirion, J.P.: Fast Non-Rigid Matching of 3D Medical Images. Technical Report 2547, INRIA (1995)Google Scholar
- 7.Bach, M., Cuisenaire, O., Meuli, R., Thiran, J.P.: Automatic segmentation of internal structures of the brain in MRI using a tandem of affine and non-rigid registration of an anatomical atlas. In: ICIP. (2001)Google Scholar