|
|
||
Geodesic-Loxodromes for Diffusion Tensor Interpolation and Difference MeasurementG. Kindlmann, R. San Jose Estepar, M. Niethammer, Steven Haker, C.-F. WestinTenth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'07) Pages 1-9 October, 2007 AbstractIn 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.
ReferenceKindlmann G, Estepar RSJ, Niethammer M, Haker S, Westin CF. Geodesic-loxodromes for diffusion tensor interpolation and difference measurement. In Tenth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'07), Lecture Notes in Computer Science 4791. Brisbane, Australia, 2007;1-9.Bibtex entry
@InProceedings{kindlmannMICCAI07,
author = "Gordon Kindlmann and Raul San Jose Estepar and Marc
Niethammer and Steven Haker and Carl-Fredrik Westin",
title = "Geodesic-Loxodromes for Diffusion Tensor Interpolation and
Difference Measurement",
booktitle = "Tenth International Conference on Medical Image Computing
and Computer-Assisted Intervention (MICCAI'07)",
month = "October",
year = "2007",
pages = "1--9",
series = "Lecture Notes in Computer Science 4791",
address = "Brisbane, Australia"}
GrantsNIH U41-RR019703, NIH P41-RR13218 (NAC), NIH R01-MH050740, NIH R01-MH074794, NIH R01-AG20012, NIH P41-RR15241 |
||||