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DTI registration in atlas based fiber analysis of infantile Krabbe disease

Wang, Y; Gupta, A; Liu, Z; Zhang, H; Escolar, ML; Gilmore, JH; ... Styner, M; + view all (2011) DTI registration in atlas based fiber analysis of infantile Krabbe disease. NEUROIMAGE , 55 (4) 1577 - 1586. 10.1016/j.neuroimage.2011.01.038.

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Abstract

In recent years, diffusion tensor imaging (DTI) has become the modality of choice to investigate white matter pathology in the developing brain. To study neonate Krabbe disease with DTI, we evaluate the performance of linear and non-linear DTI registration algorithms for atlas based fiber tract analysis. The DTI scans of 10 age-matched neonates with infantile Krabbe disease are mapped into an atlas for the analysis of major fiber tracts - the genu and splenium of the corpus callosum, the internal capsules tracts and the uncinate fasciculi. The neonate atlas is based on 377 healthy control subjects, generated using an unbiased diffeomorphic atlas building method. To evaluate the performance of one linear and seven nonlinear commonly used registration algorithms for DTI we propose the use of two novel evaluation metrics: a regional matching quality criterion incorporating the local tensor orientation similarity, and a fiber property profile based metric using normative correlation. Our experimental results indicate that the whole tensor based registration method within the DTI-ToolKit (DTI-TK) shows the best performance for our application. (C) 2011 Elsevier Inc. All rights reserved.

Type:Article
Title:DTI registration in atlas based fiber analysis of infantile Krabbe disease
DOI:10.1016/j.neuroimage.2011.01.038
Keywords:Diffusion tensor imaging, Registration, Krabbe disease, Fiber tracts, MRI, Evaluation metrics, MR-IMAGES, DIFFUSION, BRAIN, ANATOMY
UCL classification:UCL > School of BEAMS > Faculty of Engineering Science > Computer Science

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