TY - JOUR VL - 33 PB - IEEE A1 - Daducci, Alessandro A1 - Canales-Rodriguez, Erick Jorge A1 - Descoteaux, Maxime A1 - Garyfallidis, Eleftherios A1 - Gur, Yaniv A1 - Lin, Ying-Chia A1 - Mani, Merry A1 - Merlet, Sylvain A1 - Paquette, Michael A1 - Ramirez-Manzanares, Alonso A1 - Reisert, Marco A1 - Reis Rodrigues, Paulo A1 - Sepehrband, Farshid A1 - Caruyer, Emmanuel A1 - Choupan, Jeiran A1 - Deriche, Rachid A1 - Jacob, Matthew A1 - Menegaz, Gloria A1 - Prckovska, Vesna A1 - Rivera, Mariano A1 - Wiaux, Yves A1 - Thiran, Jean-Philippe SP - 384 Y1 - 2014/02// IS - 2 JF - IEEE Transactions on Medical Imaging ID - eprints2421 EP - 399 SN - 0278-0062 N2 - 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. KW - Diffusion magnetic resonance imaging (dMRI); local reconstruction; quantitative comparison; synthetic data; validation TI - Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI AV - none UR - http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630106&isnumber=6729093 ER -