Nonrigid registration of multiple sclerosis brain images using lesion inpainting for morphometry or lesion mapping
- 15 April 2008
- journal article
- technical report
- Published by Wiley in Human Brain Mapping
- Vol. 30 (4) , 1060-1067
Abstract
Morphometric studies of medical images often include a nonrigid registration step from a subject to a common reference. The presence of white matter multiple sclerosis lesions will distort and bias the output of the registration. In this article, we present a method to remove this bias by filling such lesions to make the brain look like a healthy brain before the registration. We finally propose a dedicated method to fill the lesions and present numerical results showing that our method outperforms current state of the art method. Hum Brain Mapp, 2009.Keywords
This publication has 23 references indexed in Scilit:
- Atlas-Based Anatomic Labeling in Neurodegenerative Disease via Structure-Driven Atlas WarpingJournal of Neuroimaging, 2005
- Deformation tensor morphometry of semantic dementia with quantitative validationNeuroImage, 2004
- An Image Inpainting Technique Based on the Fast Marching MethodJournal of Graphics Tools, 2004
- Fragment-based image completionACM Transactions on Graphics, 2003
- Fast robust automated brain extractionHuman Brain Mapping, 2002
- Brain Atlas Deformation in the Presence of Small and Large Space-Occupying TumorsComputer Aided Surgery, 2002
- Spatial Normalization of Brain Images with Focal Lesions Using Cost Function MaskingNeuroImage, 2001
- Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithmIEEE Transactions on Medical Imaging, 2001
- Nonlinear elastic registration of brain images with tumor pathology using a biomechanical model [MRI]IEEE Transactions on Medical Imaging, 1999
- A Computerized Approach for Morphological Analysis of the Corpus CallosumJournal of Computer Assisted Tomography, 1996