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2015 | OriginalPaper | Buchkapitel

Multiresolution Diffeomorphic Mapping for Cortical Surfaces

verfasst von : Mingzhen Tan, Anqi Qiu

Erschienen in: Information Processing in Medical Imaging

Verlag: Springer International Publishing

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Abstract

Due to the convoluted folding pattern of the cerebral cortex, accurate alignment of cortical surfaces remains challenging. In this paper, we present a multiresolution diffeomorphic surface mapping algorithm under the framework of large deformation diffeomorphic metric mapping (LDDMM). Our algorithm takes advantage of multiresolution analysis (MRA) for surfaces and constructs cortical surfaces at multiresolution. This family of multiresolution surfaces are used as natural sparse priors of the cortical anatomy and provide the anchor points where the parametrization of deformation vector fields is supported. This naturally constructs tangent bundles of diffeomorphisms at different resolution levels and hence generates multiresolution diffeomorphic transformation. We show that our construction of multiresolution LDDMM surface mapping can potentially reduce computational cost and improves the mapping accuracy of cortical surfaces.

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Titel: Multiresolution Diffeomorphic Mapping for Cortical Surfaces
verfasst von: Mingzhen Tan
Anqi Qiu
Verlag: Springer International Publishing
Buch: Information Processing in Medical Imaging
Print ISBN: 978-3-319-19991-7

Electronic ISBN: 978-3-319-19992-4

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-3-319-19992-4_24

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