eprintid: 2421 rev_number: 6 eprint_status: archive userid: 6 dir: disk0/00/00/24/21 datestamp: 2014-12-18 11:04:46 lastmod: 2014-12-18 11:04:46 status_changed: 2014-12-18 11:04:46 type: article metadata_visibility: show creators_name: Daducci, Alessandro creators_name: Canales-Rodriguez, Erick Jorge creators_name: Descoteaux, Maxime creators_name: Garyfallidis, Eleftherios creators_name: Gur, Yaniv creators_name: Lin, Ying-Chia creators_name: Mani, Merry creators_name: Merlet, Sylvain creators_name: Paquette, Michael creators_name: Ramirez-Manzanares, Alonso creators_name: Reisert, Marco creators_name: Reis Rodrigues, Paulo creators_name: Sepehrband, Farshid creators_name: Caruyer, Emmanuel creators_name: Choupan, Jeiran creators_name: Deriche, Rachid creators_name: Jacob, Matthew creators_name: Menegaz, Gloria creators_name: Prckovska, Vesna creators_name: Rivera, Mariano creators_name: Wiaux, Yves creators_name: Thiran, Jean-Philippe creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: yingchia.lin@imtlucca.it creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: creators_id: title: Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI ispublished: pub subjects: QA75 subjects: RC divisions: CSA full_text_status: none keywords: Diffusion magnetic resonance imaging (dMRI); local reconstruction; quantitative comparison; synthetic data; validation abstract: 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. date: 2014-02 date_type: published publication: IEEE Transactions on Medical Imaging volume: 33 number: 2 publisher: IEEE pagerange: 384-399 id_number: 10.1109/TMI.2013.2285500 refereed: TRUE issn: 0278-0062 official_url: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6630106&isnumber=6729093 citation: 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)