2007 | OriginalPaper | Chapter
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference Measurement
Authors : Gordon Kindlmann, Raúl San José Estépar, Marc Niethammer, Steven Haker, Carl-Fredrik Westin
Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
In algorithms for processing diffusion tensor images, two common ingredients are interpolating tensors, and measuring the distance between them. We propose a new class of interpolation paths for tensors, termed
geodesic-loxodromes
, which explicitly preserve clinically important tensor attributes, such as mean diffusivity or fractional anisotropy, while using basic differential geometry to interpolate tensor orientation. This contrasts with previous Riemannian and Log-Euclidean methods that preserve the determinant. Path integrals of tangents of geodesic-loxodromes generate novel measures of over-all difference between two tensors, and of difference in shape and in orientation.