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

Alessandro Daducci (1) , Erick Canales Rodgriguez (2) , Maxime Descoteaux (3) , Eleftherios Garyfallidis (3) , Yaniv Gur (4) , Ying Chia Lin (5) , Merry Mani (6) , Sylvain L. Merlet (7) , Michael Paquette (8) , Alonso Ramirez-Manzanares (9) , Marco Reisert (10) , Paulo Reis Rodrigues (11) , Farshid Sepehrband (12) , Emmanuel Caruyer (7) , Jeiran Choupan (12) , Rachid Deriche (7) , Mathews Jacob (6) , Gloria Menegaz (5) , Vesna Prckovska (13) , Mariano Rivera (9) , Yves Wiaux (1) , Jean-Philippe Thiran (1)

1 SP Lab - Laboratoire de Traitement du signal [EPFL] / Signal Processing Laboratories
2 FIDMAG - Fundació per a la Investigació i la Docència Maria Angustias Giménez [Barcelone]
3 SCIL - Sherbrooke Connectivity Imaging Lab [Sherbrooke]
4 SCI Institute - Scientific Computing and Imaging Institute
5 UNIVR | DI - Department of Computer Science [Verona]
6 Department of Electrical Engineering [Rochester]
7 ATHENA - Computational Imaging of the Central Nervous System
8 SCIL
9 CIMAT - Centro de Investigación en Matemáticas
10 Department of Radiology, Medical Physics
11 Department of Personality, Assessment and Psychological Treatments [Barcelona]
12 CAI - Centre for Advanced Imaging [Brisbane]
13 Clinical and experimental neuroimmunology [IDIBAPS]

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.

Domaines: Imagerie; Imagerie médicale

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⟩