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

Daducci, Alessandro, Canales-Rodríguez, Erick Jorge, Descoteaux, Maxime, Garyfallidis, Eleftherios, Gur, Yaniv, Lin, Ying-Chia, Mani, Merry, Merlet, Sylvain, Paquette, Michael, Ramirez-Manzanares, Alonso, Reisert, Marco, Rodrigues, Paulo Reis, Sepehrband, Farshid, Caruyer, Emmanuel, Choupan, Jeiran, Deriche, Rachid, Jacob, Mathews, Menegaz, Gloria, Prčkovska, Vesna, Rivera, Mariano, Wiaux, Yves and Thiran, Jean-Philippe (2014) Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI. IEEE Transactions on Medical Imaging, 33 2: 384-399. doi:10.1109/TMI.2013.2285500

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Author Daducci, Alessandro
Canales-Rodríguez, Erick Jorge
Descoteaux, Maxime
Garyfallidis, Eleftherios
Gur, Yaniv
Lin, Ying-Chia
Mani, Merry
Merlet, Sylvain
Paquette, Michael
Ramirez-Manzanares, Alonso
Reisert, Marco
Rodrigues, Paulo Reis
Sepehrband, Farshid
Caruyer, Emmanuel
Choupan, Jeiran
Deriche, Rachid
Jacob, Mathews
Menegaz, Gloria
Prčkovska, Vesna
Rivera, Mariano
Wiaux, Yves
Thiran, Jean-Philippe
Title Quantitative comparison of reconstruction methods for intra-voxel fiber recovery from diffusion MRI
Journal name IEEE Transactions on Medical Imaging   Check publisher's open access policy
ISSN 0278-0062
Publication date 2014-02-01
Year available 2013
Sub-type Article (original research)
DOI 10.1109/TMI.2013.2285500
Open Access Status Not Open Access
Volume 33
Issue 2
Start page 384
End page 399
Total pages 16
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Formatted 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.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.
Keyword Diffusion MRI
Local reconstruction
Quantitative comparison
Synthetic data
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Date of Publication : 11 October 2013

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
Centre for Advanced Imaging Publications
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Citation counts: TR Web of Science Citation Count  Cited 42 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 51 times in Scopus Article | Citations
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Created: Thu, 09 Jan 2014, 02:03:50 EST by Sandrine Ducrot on behalf of Centre for Advanced Imaging