Interpolation and Averaging of Multi-Compartment Model Images - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Conference Papers Year : 2015

Interpolation and Averaging of Multi-Compartment Model Images

Abstract

Multi-compartment diffusion models (MCM) are increasingly used to characterize the brain white matter microstructure from diffusion MRI. We address the problem of interpolation and averaging of MCM images as a simplification problem based on spectral clustering. As a core part of the framework, we propose novel solutions for the averaging of MCM compartments. Evaluation is performed both on synthetic and clinical data, demonstrating better performance for the “covariance analytic” averaging method. We then present an MCM template of normal controls constructed using the proposed interpolation.

Domains

Bioengineering
Fichier principal
Vignette du fichier
Miccai_2015_interpolation.pdf (5.8 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

inserm-01185733 , version 1 (15-10-2015)

Identifiers

Cite

Renaud Hedouin, Olivier Commowick, Aymeric Stamm, Christian Barillot. Interpolation and Averaging of Multi-Compartment Model Images. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Oct 2015, Munich, Germany. pp.354-362, ⟨10.1007/978-3-319-24571-3_43⟩. ⟨inserm-01185733⟩
236 View
311 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More