Free-form deformation of solid geometric models
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Principal Warps: Thin-Plate Splines and the Decomposition of Deformations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Extension of the ICP algorithm to nonrigid intensity-based registration of 3D volumes
Computer Vision and Image Understanding
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Medical imaging has gone through a revolution since the advent of X-ray computed tomography imaging in early seventies and the introduction of other imaging modalities such as magnetic resonance imaging, positron emission tomography, etc in the later years. Image registration plays a vital role in current clinical practice and biomedical research. The main aim of the paper is to investigate and analyze brain tissue changes in Alzheimer's disease using non-rigid medical image registration and statistical analysis techniques. In our proposed approach, first the source and the target images are affinely registered to correct global differences between the images and then non-rigid registration based on free-form deformation using B-spline approximation is performed on the images. The resulting displacement values from the non-rigid registration are further investigated for deformation in the entire brain to detect typical deformation patterns. Finally, statistical method namely t-test is performed for analysis of the results. The initial results indicate that the tissue volume change in the brain occurs predominantly in the hippocampus of the brain.