Free-form deformation of solid geometric models
SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
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Computer graphics: principles and practice (2nd ed.)
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ACM Computing Surveys (CSUR)
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MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic 3D Registration of Lung Surfaces in Computed Tomography Scans
MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
A coarse-to-fine algorithm for 3D registration based on wavelet decomposition
WSEAS TRANSACTIONS on SYSTEMS
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Structural magnetic resonance imaging (MRI) of the brain is an increasingly useful tool in the study of neurodegenerative diseases. MRI is currently the fastest developing medical imaging modality which is applied to an increasingly number of different medical diagnostic situations. Serial acquisition structural images of a subject's brain are acquired over time offers opportunities to monitor the progression of tissue volume changes in fine detail at all anatomical locations. As a result, the analysis of structural MRI data has been an active area of image analysis research for many years especially in early diagnosis, tracking of disease progression, which makes it possible to investigate how, for instance, a patient responds to treatment. The 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.