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MICCAI
2008
Springer

Automatic Deformable Diffusion Tensor Registration for Fiber Population Analysis

10 years 13 days ago
Automatic Deformable Diffusion Tensor Registration for Fiber Population Analysis
In this work, we propose a novel method for deformable tensor?to?tensor registration of Diffusion Tensor Images. Our registration method models the distances in between the tensors with Geode-sic? Loxodromes and employs a version of Multi-Dimensional Scaling (MDS) algorithm to unfold the manifold described with this metric. Defining the same shape properties as tensors, the vector images obtained through MDS are fed into a multi?step vector?image registration scheme and the resulting deformation fields are used to reorient the tensor fields. Results on brain DTI indicate that the proposed method is very suitable for deformable fiber?to?fiber correspondence and DTI?atlas construction.
M. Okan Irfanoglu, Raghu Machiraju, Steffen Samm
Added 06 Nov 2009
Updated 06 Nov 2009
Type Conference
Year 2008
Where MICCAI
Authors M. Okan Irfanoglu, Raghu Machiraju, Steffen Sammet, Carlo Pierpaoli, Michael V. Knopp
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