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Reconstruction of the orientation distribution function in single‐ and multiple‐shell q‐ball imaging within constant solid angle
Author(s) -
Aganj Iman,
Lenglet Christophe,
Sapiro Guillermo,
Yacoub Essa,
Ugurbil Kamil,
Harel Noam
Publication year - 2010
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.22365
Subject(s) - orientation (vector space) , dimensionless quantity , sharpening , geometry , diffusion mri , distribution function , mathematical analysis , physics , mathematics , computer science , artificial intelligence , mechanics , magnetic resonance imaging , medicine , quantum mechanics , radiology
q‐Ball imaging is a high‐angular‐resolution diffusion imaging technique that has been proven very successful in resolving multiple intravoxel fiber orientations in MR images. The standard computation of the orientation distribution function (the probability of diffusion in a given direction) from q‐ball data uses linear radial projection, neglecting the change in the volume element along each direction. This results in spherical distributions that are different from the true orientation distribution functions. For instance, they are neither normalized nor as sharp as expected and generally require postprocessing, such as artificial sharpening. In this paper, a new technique is proposed that, by considering the solid angle factor, uses the mathematically correct definition of the orientation distribution function and results in a dimensionless and normalized orientation distribution function expression. Our model is flexible enough so that orientation distribution functions can be estimated either from single q‐shell datasets or by exploiting the greater information available from multiple q‐shell acquisitions. We show that the latter can be achieved by using a more accurate multiexponential model for the diffusion signal. The improved performance of the proposed method is demonstrated on artificial examples and high‐angular‐resolution diffusion imaging data acquired on a 7‐T magnet. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.