Logo eprints

Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI

Daducci, Alessandro and Canales-Rodriguez, Erick Jorge and Descoteaux, Maxime and Garyfallidis, Eleftherios and Gur, Yaniv and Lin, Ying-Chia and Mani, Merry and Merlet, Sylvain and Paquette, Michael and Ramirez-Manzanares, Alonso and Reisert, Marco and Reis Rodrigues, Paulo and Sepehrband, Farshid and Caruyer, Emmanuel and Choupan, Jeiran and Deriche, Rachid and Jacob, Matthew and Menegaz, Gloria and Prckovska, Vesna and Rivera, Mariano and Wiaux, Yves and Thiran, Jean-Philippe Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI. IEEE Transactions on Medical Imaging, 33 (2). pp. 384-399. ISSN 0278-0062 (2014)

Full text not available from this repository.


Validation is arguably the bottleneck in the diffusion magnetic resonance imaging (MRI) community. This paper evaluates and compares 20 algorithms for recovering the local intra-voxel fiber structure from diffusion MRI data and is based on the results of the “HARDI reconstruction challenge” organized in the context of the “ISBI 2012” conference. Evaluated methods encompass a mixture of classical techniques well known in the literature such as diffusion tensor, Q-Ball and diffusion spectrum imaging, algorithms inspired by the recent theory of compressed sensing and also brand new approaches proposed for the first time at this contest. To quantitatively compare the methods under controlled conditions, two datasets with known ground-truth were synthetically generated and two main criteria were used to evaluate the quality of the reconstructions in every voxel: correct assessment of the number of fiber populations and angular accuracy in their orientation. This comparative study investigates the behavior of every algorithm with varying experimental conditions and highlights strengths and weaknesses of each approach. This information can be useful not only for enhancing current algorithms and develop the next generation of reconstruction methods, but also to assist physicians in the choice of the most adequate technique for their studies.

Item Type: Article
Identification Number: 10.1109/TMI.2013.2285500
Uncontrolled Keywords: Diffusion magnetic resonance imaging (dMRI); local reconstruction; quantitative comparison; synthetic data; validation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > RC Internal medicine
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 18 Dec 2014 11:04
Last Modified: 18 Dec 2014 11:04
URI: http://eprints.imtlucca.it/id/eprint/2421

Actions (login required)

Edit Item Edit Item