We show that Riemannian metrics for tensors, and more specifically the log-Euclidean metrics, are a good candidate and that this criterion can be efficiently ...

Clinical DT-MRI estimation, smoothing and fiber tracking with Log-Euclidean metrics. Abstract: Diffusion tensor MRI is an imaging modality that is gaining ...

We show that Riemannian metrics for tensors, and more specifically the log-Euclidean metrics, are a good candidate and that this criterion can be efficiently ...

In this paper, we propose to use Log-Euclidean. (LE) metrics for tensors [5], that have excellent theoretical and practical properties for tensor processing.

It is shown that Riemannian metrics for tensors, and more specifically the log-Euclidean metrics, are a good candidate and that this criterion can be ...

We show that Riemannian metrics for tensors, and more specifically the Log-Euclidean metrics, are a good candidate and that this criterion can be efficiently ...

We show that Riemannian metrics for tensors, and more specifically the log-Euclidean metrics, are a good candidate and that this criterion can be efficiently ...

Clinical DT-MRI Estimation, Smoothing and Fiber Tracking with Log-Euclidean Metrics ... Estimation and Smoothing of the Diffusion Tensor Field From Complex DWI.

May 15, 2024 · Clinical DT-MRI estimation, smoothing and fiber tracking with log-Euclidean metrics ; 1 ASCLEPIOS - Analysis and Simulation of Biomedical Images

May 19, 2006 · This criterion is easily optimized thanks to the use of the recently introduced Log-Euclidean metrics. Results on real clinical data show.