Brain image registration using cortically constrained harmonic mappings

Authors:
Anand Joshi;David Shattuck;Paul Thompson;Richard Leahy
Affiliations:
Signal and Image Processing Institute, University of Southern California, Los Angeles;Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA;Laboratory of Neuro Imaging, UCLA School of Medicine, Los Angeles, CA;Signal and Image Processing Institute, University of Southern California, Los Angeles
Venue:
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Year:
2007

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Abstract

Volumetric registration of brains is required for inter-subject studies of functional and anatomical data. Intensity-driven registration typically results in some degree of misalignment of cortical and gyral folds. Increased statistical power in group studies may be achieved through improved alignment of cortical areas by using sulcal landmarks. In this paper we describe a new volumetric registration method in which cortical surfaces and sulcal landmarks are accurately aligned. We first compute a one-to-one map between the two cortical surfaces constrained by a set of user identified sulcal curves. We then extrapolate this mapping from the cortical surface to the entire brain volume using a harmonic mapping procedure. Finally, this volumetric mapping is refined using an intensity driven linear elastic registration. The resulting maps retain the one-to-one correspondence between cortical surfaces while also aligning volumetric features via the intensity-driven registration.We evaluate performance of this method in comparison to other volumetric registration methods.