Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI - Archive ouverte HAL Access content directly
Journal Articles IEEE Transactions on Medical Imaging Year : 2014

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

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Michael Paquette
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  • PersonId : 929603

Abstract

Validation is arguably the bottleneck in the diffusion 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.

Dates and versions

hal-00908289 , version 1 (22-11-2013)

Identifiers

Cite

Alessandro Daducci, Erick Canales Rodgriguez, Maxime Descoteaux, Eleftherios Garyfallidis, Yaniv Gur, et al.. Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI. IEEE Transactions on Medical Imaging, 2014, 99, pp.384-399. ⟨10.1109/TMI.2013.2285500⟩. ⟨hal-00908289⟩
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